Podcasts about VC

In dieser Deep-Dive-Folge spricht Markus mit Simona Hübl, Co-Founder & CEO von Nejo, über ihren Weg vom VC-Umfeld in die eigene Gründung und warum der Jobmarkt dringend neu gedacht werden muss. Nach mehreren Jahren im Investing stieg sie bewusst aus operativen VC-Rollen aus, um selbst zu gründen. Nach einem Pivot entstand Nejo, eine KI-gestützte Karriereplattform für den DACH-Raum. Simona erklärt, warum klassische Jobplattformen nur einen Bruchteil der verfügbaren Stellen sichtbar machen, weshalb Keyword-Matching oft ins Leere läuft und wie Nejo mit skills-basiertem, transparentem KI-Matching relevantere Ergebnisse ermöglichen will.Production: Hanna Moser Musik (Intro/Outro): www.sebastianegger.com

Private Equity : Eldorado ou piège pour votre argent ?

New technology is coming soon and here is how to invest in the future! Inventor and investor Pablos Holman shares his journey from early computer hacking to co-founding Blue Origin, leading a prolific deep-tech lab, and now backing "mad scientists" building hard technologies beyond software. He believes Silicon Valley has over-indexed on easy software gains while neglecting transformative advances in hardware, energy, and real-world systems. He explains how breakthroughs in computation now let us model and simulate the physical world, from disease eradication to supply chains, marking a toolkit upgrade on par with the steam engine, while also wrestling with the social, regulatory, and human challenges that slow progress. We talk AI's real potential beyond chatbots, the urgent need to 10x global energy, decentralization vs. centralization in tech, the societal costs of social media, and even more! We discuss... Pablos Holman described his path from early computer hacking to founding deep-tech ventures like Blue Origin and running a VC fund focused on inventors building real-world, non-software technologies. Pablos framed technological progress as periodic "toolkit upgrades," comparing today's advances in computation and simulation to the impact of the steam engine. Modern computational models enable simulations of complex systems like disease spread, cities, and supply chains, dramatically improving decision-making. The conversation highlighted AI's true value as modeling the world while warning of over-centralization and privacy tradeoffs in the near term. Global energy scarcity is the real bottleneck to progress and peace, requiring a massive scale-up in clean, cheap energy. Nuclear power is the only viable path to global energy production and described new reactor designs nearing deployment. The discussion explored how regulatory and political systems, rather than technology itself, are often the biggest obstacles to innovation, especially in healthcare and energy. Pablos criticized social media for societal damage but argued the core issue is human responsibility and misuse rather than the technology itself. AI and crypto represent an open experimental phase where individuals can still influence outcomes before power consolidates. Pablos encouraged people to actively engage with and help build meaningful technologies instead of passively reacting to technological change. Today's Panelists: Kirk Chisholm | Innovative Wealth Barbara Friedberg | Barbara Friedberg Personal Finance Diana Perkins | Trading With Diana Follow on Facebook: https://www.facebook.com/moneytreepodcast Follow LinkedIn: https://www.linkedin.com/showcase/money-tree-investing-podcast Follow on Twitter/X: https://x.com/MTIPodcast For more information, visit the show notes at https://moneytreepodcast.com/how-to-invest-in-the-future-790 

This week, Rebecca Rettig joins the show to discuss the latest happening in Washington and what it means for crypto. We deep dive into the Clarity act, how to regulate prediction markets, who's crypto's enemy now, the state of crypto VC, LayerZero's Zero announcement and more. Enjoy! -- Follow Rebecca: https://x.com/RebeccaRettig1 Follow Rob: https://x.com/HadickM Follow Santi: https://x.com/santiagoroel Follow Empire: https://x.com/theempirepod -- Referenced In The Show: https://open.spotify.com/episode/67w8irQ06j6ZH38FsXSShf?si=5633bb7bb6a248b9&nd=1&dlsi=d7d519562e884e70 -- Coinbase crypto-backed loans, powered by Morpho, enable you to take out loans at competitive rates using crypto as collateral. Rates are typically 4% to 8%. Borrow up to $5M using BTC as collateral and up to $1M using ETH as collateral. Manage crypto-backed loans directly in the Coinbase app with ease. Learn more here: https://www.coinbase.com/onchain/borrow/get-started?utm_campaign=0126_defi-borrow_blockworks_empire&marketId=0x9103c3b4e834476c9a62ea009ba2c884ee42e94e6e314a26f04d312434191836&utm_source=empire -- Timestsamps: (00:00) Introduction (01:57) The State of Crypto Policy In DC (27:24) Coinbase Ad (28:08) Das Plug (28:34) Prediction Markets (36:50) Who's Crypto's Enemy Now? (52:35) The State of Crypto VC (01:01:15) LayerZero's Zero Announcement (01:13:01) Content of The Week -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.

Healey Cypher, CEO of BoomPop and COO at Atomic, breaks down what separates founders who win from founders who stall. You will hear a clear way to judge whether an idea is truly worth building, plus the trust mechanics that get investors, customers, and teammates to actually follow you.This conversation is a practical map for tech builders who want to pick smarter problems, execute faster, and earn credibility without the founder theater.Key TakeawaysFounders matter most, but the idea is still a gate, the same great team can get wildly different outcomes depending on the market and timingVC backed is a specific game, it requires not just big potential, but fast scale, and the incentives are not the same as building a profitable lifestyle businessA quick reality check for market size, if you need more than about five to seven percent penetration to hit meaningful revenue, it is usually a brutal pathPainkillers beat vitamins, solve an urgent problem people feel right now, or you risk getting cut the moment budgets tightenTrust is built through authenticity, logic, and empathy, if one wobbles, people feel it fast, and progress slows everywhereTimestamped Highlights00:00:00 Healey's background, why BoomPop, and what the episode is really about00:02:00 The post pandemic spend shift and the why now behind modern events and group travel00:04:30 Founder versus idea, why execution dominates, but the opportunity still decides the ceiling00:06:40 The VC reality, power law returns, speed, and why some good businesses are still a no for venture00:09:15 A simple market math test, penetration levels that become a growth wall00:19:00 Trust as a founder skill, the three ingredients and how to spot when one is missing00:21:30 Vulnerability as a shortcut to real connection, plus the giver mindset that makes people want you to winA line worth stealingIf everyone wants you to win, it is a lot easier to win.Pro Tips for Tech FoundersAsk yourself what you naturally look forward to doing, that is often your zone of strength, hire around the tasks you dreadLearn the financial basics early, especially cash flow, it is the scoreboard that keeps you alive long enough to winWhen trust is lagging, check the three levers, are you showing the real you, can people follow your reasoning, do they feel you care about their outcomesWhat's next:If you build products, lead teams, or are thinking about starting something, follow the show so you do not miss episodes like this. Also connect with me on LinkedIn for short takeaways and clips from each conversation.

Will Caldwell started Snap after his first real estate software startup fizzled, pivoting from agent tools to regulated compliance data. He discovered lenders were required to buy hazard and flood certifications, and realized this was a "painkiller" product. He built Snap as a data and analytics platform for real estate and mortgage underwriting. Snap grew from a single California compliance product into a national flood data business, reaching $5M in revenue and 30 employees. The company charged per-loan transaction fees and embedded via API into mortgage software systems. With double-digit market share, Snap focused on customer experience, automation, and expanding wallet share inside lenders' workflows. In October 2024, Snap sold 51% of the company to Intercontinental Exchange, parent of ICE Mortgage Technology, at a double-digit revenue multiple. Will stayed on to scale the platform inside a much larger ecosystem. His key lesson: dominate a narrow niche, build a required product, and let strategic buyers find you. Key Takeaways Required Beats Optional – Legal compliance products create urgency and retention because customers must buy to complete revenue-generating transactions. Micro-Niche Entry – Starting in a narrow regulated segment let Snap win trust, then expand into much larger adjacent markets. API = Distribution – Embedding inside legacy systems turned Snap into a one-click button that scaled through partners' existing sales teams. Customer Experience Wins – In commodity data markets, faster, cheaper, simpler delivery became Snap's main competitive weapon. Quote from Will Caldwell, CEO and Co-Founder of Snap "You don't need to build a huge business to get a huge, life-changing exit. Just stay laser-focused. Don't chase shiny objects. I see many founders trying to boil the ocean. It is about staying focused on a single niche. "I think vertical SaaS has many great niches, and horizontal software is challenging. You need a lot of money to go after horizontal solutions across industries. However, with vertical SaaS products and niches, there is a lot of overlooked opportunity; the real estate vertical is one prime example." Links Will Caldwell on LinkedIn Snap on LinkedIn Snap website Podcast Sponsor – LaunchBay LaunchBay helps B2B software companies automate client onboarding and implementation so customers activate faster and everyone stays aligned. If your onboarding includes data collection, setup steps, approvals, training, or any level of customization, LaunchBay replaces the messy mix of emails, spreadsheets, and meetings with a clear, all-in-one onboarding system. Teams use LaunchBay to onboard clients faster, stay on top of follow-ups automatically, and deliver a smoother experience, without hiring more people or adding more tools. Visit launchbay.com/practical and get 25% off your first 3 months on any LaunchBay plan. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Miranda Nover is the Co-founder and CEO of Fort Health. Fort builds wearables that automatically track strength training for people who care about longevity.This is a new format I'm experimenting with. It's the first time I've had a Banana portfolio company founder on the show while they're still at the pre-seed stage. When I surveyed my subscribers a few weeks ago, you were most interested in more early stage VC-backed founders, and I'd love your feedback on what you think of this.Miranda is still very much working through the idea maze and iterating on the Fort product. We talk about the megatrends driving consumer health, why she's building a company that helps people get stronger, and everything she's learned getting a hardware company off the ground.She's also in the middle of the current YC batch, and gives an inside look at what it's been like and if she'd recommend it to other founders.Thank you to Numeral and Flex for supporting this episode.Try Numeral, the end-to-end platform for sales tax and compliance: https://www.numeral.comSign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(3:37) Importance of strength training(6:34) Benefits of being strong(10:37) Evolution of Fort's hardware(15:58) Automating workout tracking(19:29) Two types of strength trainers(25:30) Building the strength company(27:26) How healthcare is consumerizing(40:43) Lessons building batteries at Tesla(44:56) Hardest parts about building a hardware startup(51:01) Adventures in vibe coding(57:54) How to use Twitter as a founder(1:02:09) The launch video industrial complex(1:08:03) What it's like doing YC(1:10:19) Selling crayons in 3rd grade, Lemonade stands(1:14:41) Miranda's best vintage finds(1:16:44) How Turner evolved as a VC(1:22:22) Turner's early social media PMF(1:28:53) Inventing shitpostingReferencedTry Fort: https://www.fort.cx/Follow MirandaTwitter: https://x.com/mirandanoverLinkedIn: https://www.linkedin.com/in/mirandanoverFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Will Nitze went from selling Linsanity T-shirts in his college dorm to building IQ Bar into a $125 million brain food empire—with just a team of ten people. No bloated headcount. No burning through VC cash. Just ruthless focus on unit economics and a contrarian approach to funding that let him scale aggressively while maintaining control. In this interview, the founder and CEO of IQ Bar breaks down how he turned a $73,000 Kickstarter into one of the fastest-growing CPG brands in America, why he believes bootstrapping is the worst thing you can do in food and beverage, and the exact moment—five years in—when he knew this could be a massive company. From cracking Costco and Whole Foods to reinventing the business over ten times, this episode is a masterclass in hyper-lean growth, retail strategy, and building a company like a knife fight. What you'll learn in this interview: • Why bootstrapping is the worst thing you can do in CPG • Will's contrarian fundraising strategy: raising less money, more often to maintain control • How he raised just under $10 million while still controlling the company • The exact moment, five years in, when he knew IQ Bar could be a big company • Why IQ Bar has reinvented its fundamental identity over ten times • How to navigate the cash conversion cycle while scaling physical products • Why retail is the "final boss" for CPG brands, even in the e-commerce era • The strategic shift from DTC to cracking Costco, Whole Foods, Walmart, and Target • Why consumers are less loyal every year and how more touchpoints solve that • How building a personal brand creates a network of category experts By the end of this episode, you'll understand how to scale a physical product business without burning cash, maintain control while raising capital strategically, and build the operational discipline required to survive in one of the toughest industries in the world. If you're building a CPG brand, navigating fundraising decisions, or trying to crack retail while staying lean, this conversation will fundamentally change how you think about growth, control, and category-defining execution. SAVE 50% ON OMNISEND FOR 3 MONTHS Get 50% off your first 3 months of email and SMS marketing with Omnisend with the code FOUNDR50. Just head to ⁠⁠⁠⁠⁠⁠⁠https://your.omnisend.com/foundr⁠⁠⁠⁠⁠⁠⁠ to get started. HOW WE CAN HELP YOU SCALE YOUR BUSINESS FASTER Learn directly from 7, 8 & 9-figure founders inside Foundr+ Start your $1 trial → ⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/startdollartrial⁠⁠⁠⁠⁠⁠⁠ PREFER A CUSTOM ROADMAP AND 1-ON-1 COACHING? → Starting from scratch? Apply here → ⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-start-application⁠⁠⁠⁠⁠⁠⁠ → Already have a store? Apply here → ⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-growth-application⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH NATHAN CHAN Instagram → ⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/nathanchan⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/nathanhchan/⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH WILL NITZE Instagram → https://www.instagram.com//willnitze/ LinkedIn → https://www.linkedin.com/in/will-nitze Website → https://iqbar.com/ FOLLOW FOUNDR FOR MORE BUSINESS GROWTH STRATEGIES YouTube → ⁠⁠⁠⁠⁠⁠⁠https://bit.ly/2uyvzdt⁠⁠⁠⁠⁠⁠⁠ Website → ⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com⁠⁠⁠⁠⁠⁠⁠ Instagram → ⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/foundr/⁠⁠⁠⁠⁠⁠⁠ Facebook → ⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/foundr⁠⁠⁠⁠⁠⁠⁠ Twitter → ⁠⁠⁠⁠⁠⁠⁠https://www.twitter.com/foundr⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/foundr/⁠⁠⁠⁠⁠⁠⁠ Podcast → ⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/podcast⁠

Eric Anderson, partner at VC firm Scale, talks about why coding agents changed software forever and why the AI bubble can't be avoided. Eric worked on Spot Instances at AWS and data products at Google before becoming a VC. He explains how companies can still compete against Anthropic and OpenAI by staying laser-focused instead of fighting on every front.Corey and Eric discuss why AWS didn't kill all startups even when they launched competing products, why the AI bubble can't be avoided when companies go from $1 billion to $7 billion in revenue in one year, and why the best AI products don't scream “AI” everywhere in their marketing.Show Highlights:(02:30) Building Spot Instances at AWS(07:41) Why Coding Agents Changed Everything(10:35) Agents Doing Code Review Now(13:53) Competing with Frontier Labs(17:05) Why AWS Didn't Kill All Startups(19:01) Finding the Right Front to Fight On(22:20) Why the Bubble Is Inevitable(23:36) AI Pricing Will Eventually Crash(26:33) Honeycomb's AI Done Right(28:04) Where to Find EricLinks: Scale: https://www.scalevp.com/Eric on LinkedIn: https://www.linkedin.com/in/ericmand/Sponsored by: duckbillhq.com

In this special deep dive episode, Peter is joined by his Carta Insights colleague Hamza Shad to unpack the operational reality of running a venture fund. They leave behind portfolio performance metrics to focus entirely on the business of the fund itself.Peter and Hamza break down the data from Carta's inaugural Fund Economics report. They analyze how much capital GPs are actually committing to their own funds, why anchor LPs are taking larger stakes, and whether the industry standard "2 and 20" fee structure is actually holding up.They also discuss the hidden costs of fund operations, from legal fees to audits, and why the 2022 vintage is deploying capital slower than its predecessors. Plus, they answer audience questions on recycling capital, managing lines of credit, and why marking up SAFEs on SAFEs is a red flag for LPs.Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/Chapters:00:00 – Intro: The business of the fund02:30 – GP Commit: How much skin in the game?04:40 – Why PE managers commit more than VCs05:58 – The rise of the Anchor LP10:38 – Capital Calls: Timelines and delays15:30 – Why the 2022 vintage is deploying slowly19:53 – Is "2 and 20" still the standard for fees?23:00 – Carry benchmarks across fund sizes25:40 – The rarity of preferred returns in VC27:00 – Operating Expenses: Legal vs. Tax costs28:58 – Why audits are becoming mandatory31:33 – The danger of marking up SAFEs33:22 – Managing Manco expenses35:24 – Q&A: When to call capital41:35 – Q&A: Valuation methodology and stale marks44:18 – Q&A: Secondaries and recycling capital47:58 – Q&A: Thesis drift49:28 – OutroThis presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2026 eShares, Inc., dba Carta, Inc. All rights reserved.

Tiffany Yeh, MD is the CEO and Co-Founder of Eztia Materials, a climate-tech venture developing energy-efficient cooling materials to protect people from extreme heat. With a mission to advance hard tech solutions at the climate-health nexus, Tiffany draws on her unique background as a physician, engineer, and public health advocate to build technologies that improve global health in a warming world.(01:13) - Dr. Ye's Background & Inspiration (01:52) - The Heat Challenge(05:20) - Singapore and the Power of Cooling(06:32) - Why Construction Has Been Slow to Adapt (07:22) - The Human Factor(08:14) - HydroVolt Technology(09:29) - Business Model, Distribution & Competition(11:19) - Worker Comfort (15:32) - Hidden Productivity Crisis Brewing(18:18) - Feature: Blueprint: The Future of Real Estate 2026 in Vegas on Sep. 22-24 (19:21) - The Secret Sauce Behind HydroVolt (20:31) - Prototyping & Real-World Applications (21:32) - Measuring Impact & ROI (23:34) - Pitching to VCs & Investors(25:31) - Product Roadmap(29:08) - Collaboration Superpower: Lionel Messi

In this episode of the Vital Health Podcast, host Duane Schulthess speaks with Tim Scott, President & CEO of Biocom California, a biopharma executive with more than two decades of experience, including spinning out companies from UC San Diego and leading firms acquired by BioMarin and Novartis, to discuss how California’s life sciences ecosystem became a global innovation engine, why the state’s research and venture networks matter, and how policy headwinds such as the Inflation Reduction Act (IRA) and Most Favored Nation (MFN) reference pricing reshape investment, rare disease development, and competition with Europe and China. Key Topics: Biocom Origins: Municipal policy roots, industry advocacy, ecosystem evolution across California. Innovation Network: University and research density, regional clusters, talent, and collaboration effects. Capital Pathway: NIH and NSF support, SBIR and STTR bridges, venture appetite, and liquidity. MFN and IRA: Pill penalty incentives, orphan exemption stakes, Medicare exposure, and VC pullback. Next-Gen Development: AI-enabled discovery, faster trial enrollment, digital twins, and regulator openness. Opinions expressed are those of the speakers.See omnystudio.com/listener for privacy information.

Subscribe to the newsletter:New Wave | Hugo Rauch | Substack****Listen now:Apple // Spotify // YouTube

While everyone panics about ChatGPT stealing traffic and AI replacing jobs, the data tells a different story. For every search on ChatGPT, there are 373 searches on Google. AI's disruption is far less dramatic than media hype suggests. Rand Fishkin challenges this prevailing wisdom about AI's impact on B2B marketing. In this conversation, Rand and Shahin explore why consensus views are usually wrong, how to build marketing strategies around actual audience behaviour, and what Rand learnt from building Moz versus SparkToro. From audience intelligence research to radical transparency about the venture capital trap, Rand delivers insights that help B2B marketers make smarter decisions. Guest Introduction Rand Fishkin is the co-founder and CEO of SparkToro, an audience research software company, and Snackbar Studio, an indie game development studio. Previously, he founded Moz, where he grew the company from debt to $50M+ in revenue over 17 years. He's the author of Lost and Founder: A Painfully Honest Field Guide to the Startup World and is known for his radical transparency about startup life and his contrarian takes on marketing trends. Key Topics AI's real impact on search: Data shows ChatGPT handles one search for every 373 on Google, and AI hasn't caused predicted job displacement (US unemployment remains historically low).Audience-specific research: Rather than following industry trends, marketers should investigate where their audience spends time using tools like SparkToro to discover relevant channels and influencers.Channel strategy and execution: Effective B2B marketing requires both overarching positioning strategy plus channel-specific tactical approaches for LinkedIn, email, and content platforms.Learning from hype cycles: From mobile apps to crypto, media creates fear-based narratives around technology that rarely match reality, and marketers who chase every trend waste resources.Building companies differently: Rand compares growing Moz with VC funding to building SparkToro through alternative funding, highlighting how serving investors rather than customers creates misaligned incentives. Resources & Links People: Amanda Natividad - VP of Marketing at SparkToro, referenced for her philosophy on social media algorithms and authentic engagement Companies & Tools: SparkToro - Audience research softwareMoz - SEO software platformSnackbar Studio - Indie game development studioChatGPT - Large language model by OpenAIDuckDuckGo - Privacy-focused search engine Books & Resources: Lost and Founder: A Painfully Honest Field Guide to the Startup World by Rand FishkinSparkToro Funding Documents - Open-sourced funding model and incorporation docsSnackbar Studio Funding Documents - Open-sourced funding model for indie game studio Contact & Credits Host: Shahin Hoda Guest: Rand Fishkin Produced by: Shahin Hoda and Alexander Hipwell Edited by: Alexander Hipwell Music by: Breakmaster Cylinder APAC's B2B Growth Podcast is Presented by xGrowth

Listen to the episode on Apple Podcasts, Spotify, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform. Figure is giving away $25,000 in USDC. Deposit into Democratized Prime, earn ~9% APY hourly—and every $1 you keep in for 25 days is 1 entry. Enter here --- Bitcoin slid toward $60,000 on Feb. 5 in a brutal, cross-asset selloff that hit gold, equities, and crypto alike. With leverage unwinding and basis trades breaking, long-time bitcoin holders are distributing to institutional buyers who, by 13F data, are mostly underwater. The mood across digital assets is bleak. Against that backdrop, Nic Carter of Castle Island Ventures argues that key Bitcoin narratives have quietly failed—and warns that developers' inaction on quantum risk could open the door to institutional control. If devs don't act, Carter says ETF giants like BlackRock will. The panel then widens the lens: declaring the token-centric VC model dead, debating whether AI now rivals the industrial revolution, and stress-testing it all across topics ranging from Solana vs. Hyperliquid to Japan's political shift and MrBeast's fintech play. --- If you want your crypto taxes done carefully — not guessed — Crypto Tax Girl is offering $100 off one-on-one crypto tax services. Their team focuses solely on crypto and has been helping investors navigate tax season since 2017. Save $100 here Hosts: Ram Ahluwalia, CFA, CEO and Founder of Lumida Austin Campbell, NYU Stern professor and founder and managing partner of Zero Knowledge Consulting Christopher Perkins, Managing Partner and President of CoinFund Guest: Nic Carter, Founding Partner at Castle Island Ventures Learn more about your ad choices. Visit megaphone.fm/adchoices

Get your tickets here: https://luma.com/83fj2zkcTechish is coming off the timeline and onto the stage.​Join us for a live recording of Techish, the podcast where tech meets culture, money meets meaning, and nothing is off-limits. Hosted by founders and investors Michael Berhane and Abadesi Osunsade, Techish breaks down the biggest stories in tech, business, and culture with insight, humour, and zero corporate fluff.​This isn't a panel.This isn't a keynote.This is a conversation. Live, honest, and interactive.​Expect sharp takes on what's really happening in tech right now, cultural commentary you won't hear on Bloomberg, and the kind of audience energy that turns a podcast into a moment.​What to Expect​A live, unfiltered Techish recordingSmart breakdowns of the biggest tech and culture stories right nowLaughs, hot takes, and side-eyesAudience Q&A and participationAn intimate crowd of people building, investing, and working in tech​Whether you are a founder, operator, investor, creative, or a tech professional or employee looking to better understand the industry you work in, this is your room.The hosts: ​Abadesi Osunsade​CEO of Hustle Crew and an award-winning social entrepreneur and VC scout. A seasoned tech leader, Abadesi previously served as a Global VP and held pivotal roles at Amazon, Product Hunt, and Brandwatch. An author and speaker, she is a leading voice in building inclusive tech ecosystems and mentoring the next generation of founders.​Michael Berhane​Award-winning CEO of POCIT. An MSc Computer Science graduate and founding engineer at Urban Massage, Michael is a former software engineer turned entrepreneur. He is a Venture Scout for Zeal Capital and a Bloomsbury-shortlisted writer currently working on his debut novel.Tickets here: https://luma.com/83fj2zkcSupport the show————————————————————Get tickets to our live show here [Feb 25th London]: https://luma.com/83fj2zkc ———————————————————— Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

In this Feb 11, 2026 Crypto Town Hall, hosts and guests discuss extreme market fear, dismiss SBF's jailhouse bid for a new trial as futile, and slam big banks' lobbying to kill stablecoin yield via the Clarity Act as pure protectionism. They highlight stablecoins' potential to drive U.S. Treasury demand, BlackRock's DeFi push (including Uniswap), the collapse of hype-driven VC tokens, real-world asset tokenization opportunities, and persistent legal uncertainty for utility tokens without lasting regulatory clarity. The episode closes with AI's rapid coding/automation advances, its disruption of SaaS and DeFi, emerging security/legal risks from AI agents, and why tokenized money (especially stablecoins) will likely power future autonomous systems.

From time to time, we'll re-air a previous episode of the show that our newer audience may have missed. During this episode, Santosh is joined by Andrei Danescu, CEO and Co-Founder of Dexory, a company specializing in AI-powered autonomous robots and a real-time data platform to optimize warehouse operations by providing continuous, accurate insights without disrupting workflows. In this conversation, Andrei and Santosh discuss the transformative role of robotics in supply chain management, focusing on optimizing warehouse operations. Andrei shares his background and the challenges in the supply chain industry, such as visibility and data consistency issues. He explains how Dexory uses autonomous robots and real-time data to address these challenges, improve efficiency, and meet evolving customer expectations. The conversation also covers technological advancements, market trends, a vision for the future of supply chain operations, and more. Highlights from their conversation include:Andrei's Background in Robotics (1:18)The Core Problem in Supply Chain (5:25)Dexory Technology Overview (6:47)Identifying Customer Pain Points (8:04)Case Study of Success (11:27)State of Warehousing Robotics in Europe (13:36)Current Trends in Warehouse Robotics (15:08)Changing ROI Expectations (16:38)Dexter's Vision for the Future (19:31)NVIDIA's Impact on Robotics (21:22)Lessons Learned in Robotics Scaling (24:24)Vision for Product Introduction (25:34)This or That Segment and Final Takeaways (26:22)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Infrastructure was passé…uncool. Difficult to get dollars from Private Equity and Growth funds, and almost impossible to get a VC fund interested. Now?! Now, it's cool. Infrastructure seems to be having a Renaissance, a full on Rebirth, not just fueled by commercial interests (e.g. advent of AI), but also by industrial policy and geopolitical considerations. In this episode of Tech Deciphered, we explore what's cool in the infrastructure spaces, including mega trends in semiconductors, energy, networking & connectivity, manufacturing Navigation: Intro We're back to building things Why now: the 5 forces behind the renaissance Semiconductors: compute is the new oil Networking & connectivity: digital highways get rebuilt Energy: rebuilding the power stack (not just renewables) Manufacturing: the return of “atoms + bits” Wrap: what it means for startups, incumbents, and investors Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Gonçalves Pedro Introduction Welcome to episode 73 of Tech Deciphered, Infrastructure, the Rebirth or Renaissance. Infrastructure was passé, it wasn’t cool, but all of a sudden now everyone’s talking about network, talking about compute and semiconductors, talking about logistics, talking about energy. What gives? What’s happened? It was impossible in the past to get any funds, venture capital, even, to be honest, some private equity funds or growth funds interested in some of these areas, but now all of a sudden everyone thinks it’s cool. The infrastructure seems to be having a renaissance, a full-on rebirth. In this episode, we will explore in which cool ways the infrastructure spaces are moving and what’s leading to it. We will deep dive into the forces that are leading us to this. We will deep dive into semiconductors, networking and connectivity, energy, manufacturing, and then we’ll wrap up. Bertrand, so infrastructure is cool now. Bertrand Schmitt We're back to building things Yes. I thought software was going to eat the world. I cannot believe it was then, maybe even 15 years ago, from Andreessen, that quote about software eating the world. I guess it’s an eternal balance. Sometimes you go ahead of yourself, you build a lot of software stack, and at some point, you need the hardware to run this software stack, and there is only so much the bits can do in a world of atoms. Nuno Gonçalves Pedro Obviously, we’ve gone through some of this before. I think what we’re going through right now is AI is eating the world, and because AI is eating the world, it’s driving a lot of this infrastructure building that we need. We don’t have enough energy to be consumed by all these big data centers and hyperscalers. We need to be innovative around network as well because of the consumption in terms of network bandwidth that is linked to that consumption as well. In some ways, it’s not software eating the world, AI is eating the world. Because AI is eating the world, we need to rethink everything around infrastructure and infrastructure becoming cool again. Bertrand Schmitt There is something deeper in this. It’s that the past 10, even 15 years were all about SaaS before AI. SaaS, interestingly enough, was very energy-efficient. When I say SaaS, I mean cloud computing at large. What I mean by energy-efficient is that actually cloud computing help make energy use more efficient because instead of companies having their own separate data centers in many locations, sometimes poorly run from an industrial perspective, replace their own privately run data center with data center run by the super scalers, the hyperscalers of the world. These data centers were run much better in terms of how you manage the coolings, the energy efficiency, the rack density, all of this stuff. Actually, the cloud revolution didn’t increase the use of electricity. The cloud revolution was actually a replacement from your private data center to the hyperscaler data center, which was energy efficient. That’s why we didn’t, even if we are always talking about that growth of cloud computing, we were never feeling the pinch in term of electricity. As you say, we say it all changed because with AI, it was not a simple “Replacement” of locally run infrastructure to a hyperscaler run infrastructure. It was truly adding on top of an existing infrastructure, a new computing infrastructure in a way out of nowhere. Not just any computing infrastructure, an energy infrastructure that was really, really voracious in term of energy use. Nuno Gonçalves Pedro There was one other effect. Obviously, we’ve discussed before, we are in a bubble. We won’t go too much into that today. But the previous big bubble in tech, which is in the late ’90s, there was a lot of infrastructure built. We thought the internet was going to take over back then. It didn’t take over immediately, but there was a lot of network connectivity, bandwidth built back in the day. Companies imploded because of that as well, or had to restructure and go in their chapter 11. A lot of the big telco companies had their own issues back then, etc., but a lot of infrastructure was built back then for this advent of the internet, which would then take a long time to come. In some ways, to your point, there was a lot of latent supply that was built that was around that for a while wasn’t used, but then it was. Now it’s been used, and now we need new stuff. That’s why I feel now we’re having the new moment of infrastructure, new moment of moving forward, aligned a little bit with what you just said around cloud computing and the advent of SaaS, but also around the fact that we had a lot of buildup back in the late ’90s, early ’90s, which we’re now still reaping the benefits on in today’s world. Bertrand Schmitt Yeah, that’s actually a great point because what was built in the late ’90s, there was a lot of fibre that was built. Laying out the fibre either across countries, inside countries. This fibre, interestingly enough, you could just change the computing on both sides of the fibre, the routing, the modems, and upgrade the capacity of the fibre. But the fibre was the same in between. The big investment, CapEx investment, was really lying down that fibre, but then you could really upgrade easily. Even if both ends of the fibre were either using very old infrastructure from the ’90s or were actually dark and not being put to use, step by step, it was being put to use, equipment was replaced, and step by step, you could keep using more and more of this fibre. It was a very interesting development, as you say, because it could be expanded over the years, where if we talk about GPUs, use for AI, GPUs, the interesting part is actually it’s totally the opposite. After a few years, it’s useless. Some like Google, will argue that they can depreciate over 5, 6 years, even some GPUs. But at the end of the day, the difference in perf and energy efficiency of the GPUs means that if you are energy constrained, you just want to replace the old one even as young as three-year-old. You have to look at Nvidia increasing spec, generation after generation. It’s pretty insane. It’s usually at least 3X year over year in term of performance. Nuno Gonçalves Pedro At this moment in time, it’s very clear that it’s happening. Why now: the 5 forces behind the renaissance Maybe let’s deep dive into why it’s happening now. What are the key forces around this? We’ve identified, I think, five forces that are particularly vital that lead to the world we’re in right now. One we’ve already talked about, which is AI, the demand shock and everything that’s happened because of AI. Data centers drive power demand, drive grid upgrades, drive innovative ways of getting energy, drive chips, drive networking, drive cooling, drive manufacturing, drive all the things that we’re going to talk in just a bit. One second element that we could probably highlight in terms of the forces that are behind this is obviously where we are in terms of cost curves around technology. Obviously, a lot of things are becoming much cheaper. The simulation of physical behaviours has become a lot more cheap, which in itself, this becomes almost a vicious cycle in of itself, then drives the adoption of more and more AI and stuff. But anyway, the simulation is becoming more and more accessible, so you can do a lot of simulation with digital twins and other things off the real world before you go into the real world. Robotics itself is becoming, obviously, cheaper. Hardware, a lot of the hardware is becoming cheaper. Computer has become cheaper as well. Obviously, there’s a lot of cost curves that have aligned that, and that’s maybe the second force that I would highlight. Obviously, funds are catching up. We’ll leave that a little bit to the end. We’ll do a wrap-up and talk a little bit about the implications to investors. But there’s a lot of capital out there, some capital related to industrial policy, other capital related to private initiative, private equity, growth funds, even venture capital, to be honest, and a few other elements on that. That would be a third force that I would highlight. Bertrand Schmitt Yes. Interestingly enough, in terms of capital use, and we’ll talk more about this, but some firms, if we are talking about energy investment, it was very difficult to invest if you are not investing in green energy. Now I think more and more firms and banks are willing to invest or support different type of energy infrastructure, not just, “Green energy.” That’s an interesting development because at some point it became near impossible to invest more in gas development, in oil development in the US or in most Western countries. At least in the US, this is dramatically changing the framework. Nuno Gonçalves Pedro Maybe to add the two last forces that I think we see behind the renaissance of what’s happening in infrastructure. They go hand in hand. One is the geopolitics of the world right now. Obviously, the world was global flat, and now it’s becoming increasingly siloed, so people are playing it to their own interests. There’s a lot of replication of infrastructure as well because people want to be autonomous, and they want to drive their own ability to serve end consumers, businesses, etc., in terms of data centers and everything else. That ability has led to things like, for example, chips shortage. The fact that there are semiconductors, there are shortages across the board, like memory shortages, where everything is packed up until 2027 of 2028. A lot of the memory that was being produced is already spoken for, which is shocking. There’s obviously generation of supply chain fragilities, obviously, some of it because of policies, for example, in the US with tariffs, etc, security of energy, etc. Then the last force directly linked to the geopolitics is the opposite of it, which is the policy as an accelerant, so to speak, as something that is accelerating development, where because of those silos, individual countries, as part their industrial policy, then want to put capital behind their local ecosystems, their local companies, so that their local companies and their local systems are for sure the winners, or at least, at the very least, serve their own local markets. I think that’s true of a lot of the things we’re seeing, for example, in the US with the Chips Act, for semiconductors, with IGA, IRA, and other elements of what we’ve seen in terms of practices, policies that have been implemented even in Europe, China, and other parts of the world. Bertrand Schmitt Talking about chips shortages, it’s pretty insane what has been happening with memory. Just the past few weeks, I have seen a close to 3X increase in price in memory prices in a matter of weeks. Apparently, it started with a huge order from OpenAI. Apparently, they have tried to corner the memory market. Interestingly enough, it has flat-footed the entire industry, and that includes Google, that includes Microsoft. There are rumours of their teams now having moved to South Korea, so they are closer to the action in terms of memory factories and memory decision-making. There are rumours of execs who got fired because they didn’t prepare for this type of eventuality or didn’t lock in some of the supply chain because that memory was initially for AI, but obviously, it impacts everything because factories making memories, you have to plan years in advance to build memories. You cannot open new lines of manufacturing like this. All factories that are going to open, we know when they are going to open because they’ve been built up for years. There is no extra capacity suddenly. At the very best, you can change a bit your line of production from one type of memory to another type. But that’s probably about it. Nuno Gonçalves Pedro Just to be clear, all these transformations we’re seeing isn’t to say just hardware is back, right? It’s not just hardware. There’s physicality. The buildings are coming back, right? It’s full stack. Software is here. That’s why everything is happening. Policy is here. Finance is here. It’s a little bit like the name of the movie, right? Everything everywhere all at once. Everything’s happening. It was in some ways driven by the upper stacks, by the app layers, by the platform layers. But now we need new infrastructure. We need more infrastructure. We need it very, very quickly. We need it today. We’re already lacking in it. Semiconductors: compute is the new oil Maybe that’s a good segue into the first piece of the whole infrastructure thing that’s driving now the most valuable company in the world, NVIDIA, which is semiconductors. Semiconductors are driving compute. Semis are the foundation of infrastructure as a compute. Everyone needs it for every thing, for every activity, not just for compute, but even for sensors, for actuators, everything else. That’s the beginning of it all. Semiconductor is one of the key pieces around the infrastructure stack that’s being built at scale at this moment in time. Bertrand Schmitt Yes. What’s interesting is that if we look at the market gap of Semis versus software as a service, cloud companies, there has been a widening gap the past year. I forgot the exact numbers, but we were talking about plus 20, 25% for Semis in term of market gap and minus 5, minus 10 for SaaS companies. That’s another trend that’s happening. Why is this happening? One, because semiconductors are core to the AI build-up, you cannot go around without them. But two, it’s also raising a lot of questions about the durability of the SaaS, a software-as-a-service business model. Because if suddenly we have better AI, and that’s all everyone is talking about to justify the investment in AI, that it keeps getting better, and it keeps improving, and it’s going to replace your engineers, your software engineers. Then maybe all of this moat that software companies built up over the years or decades, sometimes, might unravel under the pressure of newly coded, newly built, cheaper alternatives built from the ground up with AI support. It’s not just that, yes, semiconductors are doing great. It’s also as a result of that AI underlying trend that software is doing worse right now. Nuno Gonçalves Pedro At the end of the day, this foundational piece of infrastructure, semiconductor, is obviously getting manifest to many things, fabrication, manufacturing, packaging, materials, equipment. Everything’s being driven, ASML, etc. There are all these different players around the world that are having skyrocket valuations now, it’s because they’re all part of the value chain. Just to be very, very clear, there’s two elements of this that I think are very important for us to remember at this point in time. One, it’s the entire value chains are being shifted. It’s not just the chips that basically lead to computing in the strict sense of it. It’s like chips, for example, that drive, for example, network switching. We’re going to talk about networking a bit, but you need chips to drive better network switching. That’s getting revolutionised as well. For example, we have an investment in that space, a company called the eridu.ai, and they’re revolutionising one of the pieces around that stack. Second part of the puzzle, so obviously, besides the holistic view of the world that’s changing in terms of value change, the second piece of the puzzle is, as we discussed before, there’s industrial policy. We already mentioned the CHIPS Act, which is something, for example, that has been done in the US, which I think is 52 billion in incentives across a variety of things, grants, loans, and other mechanisms to incentivise players to scale capacity quick and to scale capacity locally in the US. One of the effects of that now is obviously we had the TSMC, US expansion with a factory here in the US. We have other levels of expansion going on with Intel, Samsung, and others that are happening as we speak. Again, it’s this two by two. It’s market forces that drive the need for fundamental shifts in the value chain. On the other industrial policy and actual money put forward by states, by governments, by entities that want to revolutionise their own local markets. Bertrand Schmitt Yes. When you talk about networking, it makes me think about what NVIDIA did more than six years ago when they acquired Mellanox. At the time, it was largest acquisition for NVIDIA in 2019, and it was networking for the data center. Not networking across data center, but inside the data center, and basically making sure that your GPUs, the different computers, can talk as fast as possible between each of them. I think that’s one piece of the puzzle that a lot of companies are missing, by the way, about NVIDIA is that they are truly providing full systems. They are not just providing a GPU. Some of their competitors are just providing GPUs. But NVIDIA can provide you the full rack. Now, they move to liquid-cool computing as well. They design their systems with liquid cooling in mind. They have a very different approach in the industry. It’s a systematic system-level approach to how do you optimize your data center. Quite frankly, that’s a bit hard to beat. Nuno Gonçalves Pedro For those listening, you’d be like, this is all very different. Semiconductors, networking, energy, manufacturing, this is all different. Then all of a sudden, as Bertrand is saying, well, there are some players that are acting across the stack. Then you see in the same sentence, you’re talking about nuclear power in Microsoft or nuclear power in Google, and you’re like, what happened? Why are these guys in the same sentence? It’s like they’re tech companies. Why are they talking about energy? It’s the nature of that. These ecosystems need to go hand in hand. The value chains are very deep. For you to actually reap the benefits of more and more, for example, semiconductor availability, you have to have better and better networking connectivity, and you have to have more and more energy at lower and lower costs, and all of that. All these things are intrinsically linked. That’s why you see all these big tech companies working across stack, NVIDIA being a great example of that in trying to create truly a systems approach to the world, as Bertrand was mentioning. Networking & connectivity: digital highways get rebuilt On the networking and connectivity side, as we said, we had a lot of fibre that was put down, etc, but there’s still more build-out needs to be done. 5G in terms of its densification is still happening. We’re now starting to talk, obviously, about 6G. I’m not sure most telcos are very happy about that because they just have been doing all this CapEx and all this deployment into 5G, and now people already started talking about 6G and what’s next. Obviously, data center interconnect is quite important, and all the hubbing that needs to happen around data centers is very, very important. We are seeing a lot movements around connectivity that are particularly important. Network gear and the emergence of players like Broadcom in terms of the semiconductor side of the fence, obviously, Cisco, Juniper, Arista, and others that are very much present in this space. As I said, we made an investment on the semiconductor side of networking as well, realizing that there’s still a lot of bottlenecks happening there. But obviously, the networking and connectivity stack still needs to be built at all levels within the data centers, outside of the data centers in terms of last mile, across the board in terms of fibre. We’re seeing a lot of movements still around the space. It’s what connects everything. At the end of the day, if there’s too much latency in these systems, if the bandwidths are not high enough, then we’re going to have huge bottlenecks that are going to be put at the table by a networking providers. Obviously, that doesn’t help anyone. If there’s a button like anywhere, it doesn’t work. All of this doesn’t work. Bertrand Schmitt Yes. Interestingly enough, I know we said for this episode, we not talk too much about space, but when you talk about 6G, it make me think about, of course, Starlink. That’s really your last mile delivery that’s being built as well. It’s a massive investment. We’re talking about thousands of satellites that are interconnected between each other through laser system. This is changing dramatically how companies can operate, how individuals can operate. For companies, you can have great connectivity from anywhere in the world. For military, it’s the same. For individuals, suddenly, you won’t have dead space, wide zones. This is also a part of changing how we could do things. It’s quite important even in the development of AI because, yes, you can have AI at the edge, but that interconnect to the rest of the system is quite critical. Having that availability of a network link, high-quality network link from anywhere is a great combo. Nuno Gonçalves Pedro Then you start seeing regions of the world that want to differentiate to attract digital nomads by saying, “We have submarine cables that come and hub through us, and therefore, our connectivity is amazing.” I was just in Madeira, and they were talking about that in Portugal. One of the islands of Portugal. We have some Marine cables. You have great connectivity. We’re getting into that discussion where people are like, I don’t care. I mean, I don’t know. I assume I have decent connectivity. People actually care about decent connectivity. This discussion is not just happening at corporate level, at enterprise level? Etc. Even consumers, even people that want to work remotely or be based somewhere else in the world. It’s like, This is important Where is there a great connectivity for me so that I can have access to the services I need? Etc. Everyone becomes aware of everything. We had a cloud flare mishap more recently that the CEO had to jump online and explain deeply, technically and deeply, what happened. Because we’re in their heads. If Cloudflare goes down, there’s a lot of websites that don’t work. All of this, I think, is now becoming du jour rather than just an afterthought. Maybe we’ll think about that in the future. Bertrand Schmitt Totally. I think your life is being changed for network connectivity, so life of individuals, companies. I mean, everything. Look at airlines and ships and cruise ships. Now is the advent of satellite connectivity. It’s dramatically changing our experience. Nuno Gonçalves Pedro Indeed. Energy: rebuilding the power stack (not just renewables) Moving maybe to energy. We’ve talked about energy quite a bit in the past. Maybe we start with the one that we didn’t talk as much, although we did mention it, which was, let’s call it the fossil infrastructure, what’s happening around there. Everyone was saying, it’s all going to be renewables and green. We’ve had a shift of power, geopolitics. Honestly, I the writing was on the wall that we needed a lot more energy creation. It wasn’t either or. We needed other sources to be as efficient as possible. Obviously, we see a lot of work happening around there that many would have thought, Well, all this infrastructure doesn’t matter anymore. Now we’re seeing LNG terminals, pipelines, petrochemical capacity being pushed up, a lot of stuff happening around markets in terms of export, and not only around export, but also around overall distribution and increases and improvements so that there’s less leakage, distribution of energy, etc. In some ways, people say, it’s controversial, but it’s like we don’t have enough energy to spare. We’re already behind, so we need as much as we can. We need to figure out the way to really extract as much as we can from even natural resources, which In many people’s mind, it’s almost like blasphemous to talk about, but it is where we are. Obviously, there’s a lot of renaissance also happening on the fossil infrastructure basis, so to speak. Bertrand Schmitt Personally, I’m ecstatic that there is a renaissance going regarding what is called fossil infrastructure. Oil and gas, it’s critical to humanity well-being. You never had growth of countries without energy growth and nothing else can come close. Nuclear could come close, but it takes decades to deploy. I think it’s great. It’s great for developed economies so that they do better, they can expand faster. It’s great for third-world countries who have no realistic other choice. I really don’t know what happened the past 10, 15 years and why this was suddenly blasphemous. But I’m glad that, strangely, thanks to AI, we are back to a more rational mindset about energy and making sure we get efficient energy where we can. Obviously, nuclear is getting a second act. Nuno Gonçalves Pedro I know you would be. We’ve been talking about for a long time, and you’ve been talking about it in particular for a very long time. Bertrand Schmitt Yes, definitely. It’s been one area of interest of mine for 25 years. I don’t know. I’ve been shocked about what happened in Europe, that willingness destruction of energy infrastructure, especially in Germany. Just a few months ago, they keep destroying on live TV some nuclear station in perfect working condition and replacing them with coal. I’m not sure there is a better definition of insanity at this stage. It looks like it’s only the Germans going that hardcore for some reason, but at least the French have stopped their program of decommissioning. America, it seems to be doing the same, so it’s great. On top of it, there are new generations that could be put to use. The Chinese are building up a very large nuclear reactor program, more than 100 reactors in construction for the next 10 years. I think everybody has to catch up because at some point, this is the most efficient energy solution. Especially if you don’t build crazy constraints around the construction of these nuclear reactors. If we are rational about permits, about energy, about safety, there are great things we could be doing with nuclear. That might be one of the only solution if we want to be competitive, because when energy prices go down like crazy, like in China, they will do once they have reach delivery of their significant build-up of nuclear reactors, we better be ready to have similar options from a cost perspective. Nuno Gonçalves Pedro From the outside, at the very least, nuclear seems to be probably in the energy one of the areas that’s more being innovated at this moment in time. You have startups in the space, you have a lot really money going into it, not just your classic industrial development. That’s very exciting. Moving maybe to the carbonization and what’s happening. The CCUS, and for those who don’t know what it is, carbon capture, utilization, and storage. There’s a lot of stuff happening around that space. That’s the area that deals with the ability to capture CO₂ emissions from industrial sources and/or the atmosphere and preventing their release. There’s a lot of things happening in that space. There’s also a lot of things happening around hydrogen and geothermal and really creating the ability to storage or to store, rather, energy that then can be put back into the grids at the right time. There’s a lot of interesting pieces happening around this. There’s some startup movement in the space. It’s been a long time coming, the reuse of a lot of these industrial sources. Not sure it’s as much on the news as nuclear, and oil and gas, but certainly there’s a lot of exciting things happening there. Bertrand Schmitt I’m a bit more dubious here, but I think geothermal makes sense if it’s available at reasonable price. I don’t think hydrogen technology has proven its value. Concerning carbon capture, I’m not sure how much it’s really going to provide in terms of energy needs, but why not? Nuno Gonçalves Pedro Fuels niche, again, from the outside, we’re not energy experts, but certainly, there are movements in the space. We’ll see what’s happening. One area where there’s definitely a lot of movement is this notion of grid and storage. On the one hand, that transmission needs to be built out. It needs to be better. We’ve had issues of blackouts in the US. We’ve had issues of blackouts all around the world, almost. Portugal as well, for a significant part of the time. The ability to work around transmission lines, transformers, substations, the modernization of some of this infrastructure, and the move forward of it is pretty critical. But at the other end, there’s the edge. Then, on the edge, you have the ability to store. We should have, better mechanisms to store energy that are less leaky in terms of energy storage. Obviously, there’s a lot of movement around that. Some of it driven just by commercial stuff, like Tesla a lot with their storage stuff, etc. Some of it really driven at scale by energy players that have the interest that, for example, some of the storage starts happening closer to the consumption as well. But there’s a lot of exciting things happening in that space, and that is a transformative space. In some ways, the bottleneck of energy is also around transmission and then ultimately the access to energy by homes, by businesses, by industries, etc. Bertrand Schmitt I would say some of the blackout are truly man-made. If I pick on California, for instance. That’s the logical conclusion of the regulatory system in place in California. On one side, you limit price that energy supplier can sell. The utility company can sell, too. On the other side, you force them to decommission the most energy-efficient and least expensive energy source. That means you cap the revenues, you make the cost increase. What is the result? The result is you cannot invest anymore to support a grid and to support transmission. That’s 100% obvious. That’s what happened, at least in many places. The solution is stop crazy regulations that makes no economic sense whatsoever. Then, strangely enough, you can invest again in transmission, in maintenance, and all I love this stuff. Maybe another piece, if we pick in California, if you authorize building construction in areas where fires are easy, that’s also a very costly to support from utility perspective, because then you are creating more risk. You are forced buy the state to connect these new constructions to the grid. You have more maintenance. If it fails, you can create fire. If you create fire, you have to pay billions of fees. I just want to highlight that some of this is not a technological issue, is not per se an investment issue, but it’s simply the result of very bad regulations. I hope that some will learn, and some change will be made so that utilities can do their job better. Nuno Gonçalves Pedro Then last, but not the least, on the energy side, energy is becoming more and more digitally defined in some ways. It’s like the analogy to networks that they’ve become more, and more software defined, where you have, at the edge is things like smart meters. There’s a lot of things you can do around the key elements of the business model, like dynamic pricing and other elements. Demand response, one of the areas that I invested in, I invest in a company called Omconnect that’s now merged with what used to be Google Nest. Where to deploy that ability to do demand response and also pass it to consumers so that consumers can reduce their consumption at times where is the least price effective or the less green or the less good for the energy companies to produce energy. We have other things that are happening, which are interesting. Obviously, we have a lot more electric vehicles in cars, etc. These are also elements of storage. They don’t look like elements of storage, but the car has electricity in it once you charge it. Once it’s charged, what do you do with it? Could you do something else? Like the whole reverse charging piece that we also see now today in mobile devices and other edge devices, so to speak. That also changes the architecture of what we’re seeing around the space. With AI, there’s a lot of elements that change around the value chain. The ability to do forecasting, the ability to have, for example, virtual power plans because of just designated storage out there, etc. Interesting times happening. Not sure all utilities around the world, all energy providers around the world are innovating at the same pace and in the same way. But certainly just looking at the industry and talking to a lot of players that are CEOs of some of these companies. That are leading innovation for some of these companies, there’s definitely a lot more happening now in the last few years than maybe over the last few decades. Very exciting times. Bertrand Schmitt I think there are two interesting points in what you say. Talking about EVs, for instance, a Cybertruck is able to send electricity back to your home if your home is able to receive electricity from that source. Usually, you have some changes to make to the meter system, to your panel. That’s one great way to potentially use your car battery. Another piece of the puzzle is that, strangely enough, most strangely enough, there has been a big push to EV, but at the same time, there has not been a push to provide more electricity. But if you replace cars that use gasoline by electric vehicles that use electricity, you need to deliver more electricity. It doesn’t require a PhD to get that. But, strangely enough, nothing was done. Nuno Gonçalves Pedro Apparently, it does. Bertrand Schmitt I remember that study in France where they say that, if people were all to switch to EV, we will need 10 more nuclear reactors just on the way from Paris to Nice to the Côte d’Azur, the French Rivière, in order to provide electricity to the cars going there during the summer vacation. But I mean, guess what? No nuclear plant is being built along the way. Good luck charging your vehicles. I think that’s another limit that has been happening to the grid is more electric vehicles that require charging when the related infrastructure has not been upgraded to support more. Actually, it has quite the opposite. In many cases, we had situation of nuclear reactors closing down, so other facilities closing down. Obviously, the end result is an increase in price of electricity, at least in some states and countries that have not sold that fully out. Nuno Gonçalves Pedro Manufacturing: the return of “atoms + bits” Moving to manufacturing and what’s happening around manufacturing, manufacturing technology. There’s maybe the case to be made that manufacturing is getting replatformed, right? It’s getting redefined. Some of it is very obvious, and it’s already been ongoing for a couple of decades, which is the advent of and more and more either robotic augmented factories or just fully roboticized factories, where there’s very little presence of human beings. There’s elements of that. There’s the element of software definition on top of it, like simulation. A lot of automation is going on. A lot of AI has been applied to some lines in terms of vision, safety. We have an investment in a company called Sauter Analytics that is very focused on that from the perspective of employees and when they’re still humans in the loop, so to speak, and the ability to really figure out when people are at risk and other elements of what’s happening occurring from that. But there’s more than that. There’s a little bit of a renaissance in and of itself. Factories are, initially, if we go back a couple of decades ago, factories were, and manufacturing was very much defined from the setup. Now it’s difficult to innovate, it’s difficult to shift the line, it’s difficult to change how things are done in the line. With the advent of new factories that have less legacy, that have more flexible systems, not only in terms of software, but also in terms of hardware and robotics, it allows us to, for example, change and shift lines much more easily to different functions, which will hopefully, over time, not only reduce dramatically the cost of production. But also increase dramatically the yield, it increases dramatically the production itself. A lot of cool stuff happening in that space. Bertrand Schmitt It’s exciting to see that. One thing this current administration in the US has been betting on is not just hoping for construction renaissance. Especially on the factory side, up of factories, but their mindset was two things. One, should I force more companies to build locally because it would be cheaper? Two, increase output and supply of energy so that running factories here in the US would be cheaper than anywhere else. Maybe not cheaper than China, but certainly we get is cheaper than Europe. But three, it’s also the belief that thanks to AI, we will be able to have more efficient factories. There is always that question, do Americans to still keep making clothes, for instance, in factories. That used to be the case maybe 50 years ago, but this move to China, this move to Bangladesh, this move to different places. That’s not the goal. But it can make sense that indeed there is ability, thanks to robots and AI, to have more automated factories, and these factories could be run more efficiently, and as a result, it would be priced-competitive, even if run in the US. When you want to think about it, that has been, for instance, the South Korean playbook. More automated factories, robotics, all of this, because that was the only way to compete against China, which has a near infinite or used to have a near infinite supply of cheaper labour. I think that all of this combined can make a lot of sense. In a way, it’s probably creating a perfect storm. Maybe another piece of the puzzle this administration has been working on pretty hard is simplifying all the permitting process. Because a big chunk of the problem is that if your permitting is very complex, very expensive, what take two years to build become four years, five years, 10 years. The investment mass is not the same in that situation. I think that’s a very important part of the puzzle. It’s use this opportunity to reduce regulatory state, make sure that things are more efficient. Also, things are less at risk of bribery and fraud because all these regulations, there might be ways around. I think it’s quite critical to really be careful about this. Maybe last piece of the puzzle is the way accounting works. There are new rules now in 2026 in the US where you can fully depreciate your CapEx much faster than before. That’s a big win for manufacturing in the US. Suddenly, you can depreciate much faster some of your CapEx investment in manufacturing. Nuno Gonçalves Pedro Just going back to a point you made and then moving it forward, even China, with being now probably the country in the world with the highest rate of innovation and take up of industrial robots. Because of demographic issues a little bit what led Japan the first place to be one of the real big innovators around robots in general. The fact that demographics, you’re having an aging population, less and less children. How are you going to replace all these people? Moving that into big winners, who becomes a big winner in a space where manufacturing is fundamentally changing? Obviously, there’s the big four of robots, which is ABB, FANUC, KUKA, and Yaskawa. Epson, I think, is now in there, although it’s not considered one of the big four. Kawasaki, Denso, Universal Robots. There’s a really big robotics, industrial robotic companies in the space from different origins, FANUC and Yaskawa, and Epson from Japan, KUKA from Germany, ABB from Switzerland, Sweden. A lot of now emerging companies from China, and what’s happening in that space is quite interesting. On the other hand, also, other winners will include players that will be integrators that will build some of the rest of the infrastructure that goes into manufacturing, the Siemens of the world, the Schneider’s, the Rockwell’s that will lead to fundamental industrial automation. Some big winners in there that whose names are well known, so probably not a huge amount of surprises there. There’s movements. As I said, we’re still going to see the big Chinese players emerging in the world. There are startups that are innovating around a lot of the edges that are significant in this space. We’ll see if this is a space that will just be continued to be dominated by the big foreign robotics and by a couple of others and by the big integrators or not. Bertrand Schmitt I think you are right to remind about China because China has been moving very fast in robotics. Some Chinese companies are world-class in their use of robotics. You have this strange mix of some older industries where robotics might not be so much put to use and typically state-owned, versus some private companies, typically some tech companies that are reconverting into hardware in some situation. That went all in terms of robotics use and their demonstrations, an example of what’s happening in China. Definitely, the Chinese are not resting. Everyone smart enough is playing that game from the Americans, the Chinese, Japanese, the South Koreans. Nuno Gonçalves Pedro Exciting things are manufacturing, and maybe to bring it all together, what does it mean for all the big players out there? If we talk with startups and talk about startups, we didn’t mention a ton of startups today, right? Maybe incumbent wind across the board. But on a more serious note, we did mention a few. For example, in nuclear energy, there’s a lot of startups that have been, some of them, incredibly well-funded at this moment in time. Wrap: what it means for startups, incumbents, and investors There might be some big disruptions that will come out of startups, for example, in that space. On the chipset side, we talked about the big gorillas, the NVIDIAs, AMDs, Intel, etc., of the world. But we didn’t quite talk about the fact that there’s a lot of innovation, again, happening on the edges with new players going after very large niches, be it in networking and switching. Be it in compute and other areas that will need different, more specialized solutions. Potentially in terms of compute or in terms of semiconductor deployments. I think there’s still some opportunities there, maybe not to be the winner takes all thing, but certainly around a lot of very significant niches that might grow very fast. Manufacturing, we mentioned the same. Some of the incumbents seem to be in the driving seat. We’ll see what happens if some startups will come in and take some of the momentum there, probably less likely. There are spaces where the value chains are very tightly built around the OEMs and then the suppliers overall, classically the tier one suppliers across value chains. Maybe there is some startup investment play. We certainly have played in the couple of the spaces. I mentioned already some of them today, but this is maybe where the incumbents have it all to lose. It’s more for them to lose rather than for the startups to win just because of the scale of what needs to be done and what needs to be deployed. Bertrand Schmitt I know. That’s interesting point. I think some players in energy production, for instance, are moving very fast and behaving not only like startups. Usually, it’s independent energy suppliers who are not kept by too much regulations that get moved faster. Utility companies, as we just discussed, have more constraints. I would like to say that if you take semiconductor space, there has been quite a lot of startup activities way more than usual, and there have been some incredible success. Just a few weeks ago, Rock got more or less acquired. Now, you have to play games. It’s not an outright acquisition, but $20 billion for an IP licensing agreement that’s close to an acquisition. That’s an incredible success for a company. Started maybe 10 years ago. You have another Cerebras, one of the competitor valued, I believe, quite a lot in similar range. I think there is definitely some activity. It’s definitely a different game compared to your software startup in terms of investment. But as we have seen with AI in general, the need for investment might be larger these days. Yes, it might be either traditional players if they can move fast enough, to be frank, because some of them, when you have decades of being run as a slow-moving company, it’s hard to change things. At the same time, it looks like VCs are getting bigger. Wall Street is getting more ready to finance some of these companies. I think there will be opportunities for startups, but definitely different types of startups in terms of profile. Nuno Gonçalves Pedro Exactly. From an investor standpoint, I think on the VC side, at least our core belief is that it’s more niche. It’s more around big niches that need to be fundamentally disrupted or solutions that require fundamental interoperability and integration where the incumbents have no motivation to do it. Things that are a little bit more either packaging on the semiconductor side or other elements of actual interoperability. Even at the software layer side that feeds into infrastructure. If you’re a growth investor, a private equity investor, there’s other plays that are available to you. A lot of these projects need to be funded and need to be scaled. Now we’re seeing projects being funded even for a very large, we mentioned it in one of the previous episodes, for a very large tech companies. When Meta, for example, is going to the market to get funding for data centers, etc. There’s projects to be funded there because just the quantum and scale of some of these projects, either because of financial interest for specifically the tech companies or for other reasons, but they need to be funded by the market. There’s other place right now, certainly if you’re a larger private equity growth investor, and you want to come into the market and do projects. Even public-private financing is now available for a lot of things. Definitely, there’s a lot of things emanating that require a lot of funding, even for large-scale projects. Which means the advent of some of these projects and where realization is hopefully more of a given than in other circumstances, because there’s actual commercial capital behind it and private capital behind it to fuel it as well, not just industrial policy and money from governments. Bertrand Schmitt There was this quite incredible stat. I guess everyone heard about that incredible growth in GDP in Q3 in the US at 4.4%. Apparently, half of that growth, so around 2.2% point, has been coming from AI and related infrastructure investment. That’s pretty massive. Half of your GDP growth coming from something that was not there three years ago or there, but not at this intensity of investment. That’s the numbers we are talking about. I’m hearing that there is a good chance that in 2026, we’re talking about five, even potentially 6% GDP growth. Again, half of it potentially coming from AI and all the related infrastructure growth that’s coming with AI. As a conclusion for this episode on infrastructure, as we just said, it’s not just AI, it’s a whole stack, and it’s manufacturing in general as well. Definitely in the US, in China, there is a lot going on. As we have seen, computing needs connectivity, networks, need power, energy and grid, and all of this needs production capacity and manufacturing. Manufacturing can benefit from AI as well. That way the loop is fully going back on itself. Infrastructure is the next big thing. It’s an opportunity, probably more for incumbents, but certainly, as usual, with such big growth opportunities for startups as well. Thank you, Nuno. Nuno Gonçalves Pedro Thank you, Bertrand.

I interviewed Play Ventures General Partner Phylicia Koh to explore what founders outside of gaming can learn from two decades of game design. Play Ventures began as a gaming-focused VC fund. Today, it also invests in what Phylicia calls “playable apps,” consumer products that combine utility with the engagement mechanics of games. That doesn't mean slapping on points and badges. It means understanding motivation, social dynamics, retention loops, and in-app economies. We talk about: What actually makes an app “playable” — and why most gamification fails The difference between vanity retention and real engagement Why founders should get comfortable with paid user acquisition  What she wants to see at pre-seed (hint: can you ship?) How to design for habit in categories like fintech, wellness, and spirituality If you're a domain expert building a consumer product and you've never seriously considered how game design might increase engagement and lifetime value, this conversation will give you a new lens. RUNTIME 37:20   EPISODE BREAKDOWN (2:33) “Play identifies as a gaming and also a consumer VC fund.” (7:53) How she determines if gaming skills/practices will add value. (11:19) How to pitch Play Ventures  (14:50) "Can you ship? Because shipping is hard." (18:05) Phylicia's top success metrics for playable apps (21:39) “You're going to need to use paid user acquisition." (28:07) “If somebody has a good idea, I guarantee you somebody else around the world has that idea too.” (32:46) An idea she'd like to back that doesn't exist yet LINKS Phylicia Koh Play Ventures SUBSCRIBE

Welcome to another episode of the EUVC Podcast! Today, we're diving into How Corporates Might just be able Beat VCs in the AI Race. Or maybe more importantly, how we can collaborate.Our guest is Alex Dang, co-author of the bestselling book The Venture Mindset: How to Make Smarter Bets and Achieve Extraordinary Growth. Alex is a seasoned technology executive and innovation advisor with over two decades of experience. He was a product leader at Amazon, where he launched new businesses across e-commerce, supply chain, and AI; a partner at McKinsey, helping Fortune 500 companies build digital ventures; and today advises corporate leaders and investors on AI strategies, venture building, and applying VC principles to large organizations.In this conversation, Alex shares provocative insights on why the venture mindset is now non-negotiable for corporates in the AI era, where incumbents hold hidden advantages over VCs, and how to avoid “innovation theater” while turning data, distribution, and scale into real venture wins.Let's jump in!Here's what's covered:01:56 | The Venture Mindset in one frame with nine principles from 20 years of Stanford VC research: uncertainty → portfolios → outliers03:44 | The post-book update Alex wishes he had added time compression: “days, not weeks,” and the rise of the “one slice team”05:53 | Venture mindset applied to AI 07:34 | Why “adding AI” is the wrong framing; start customer-backward, not tech-backward08:43 | “AI theater”, innovation theater and press release strategies vs real product value11:19 | The European corporate trap: regulation, consensus, and downside protection as the enemy of transformation11:56 | The right AI rollout sequence with start in back office to learn and protect trust, then go customer-facing at scale15:21 | Why CVCs die after 3.7 years: incentives, leadership fear, and why corporate venturing fails structurally17:24 | AI is now the world's most democratized intelligence: everyone has the same tools; the gap is execution18:47 | Where corporates fit in venture + startup ecosystems: strengths: data, distribution, enterprise scale20:38 | When corporates should build in-house, when to partner, and why AI must become an internal muscle25:24 | Incentives drive behavior: why executives won't take venture-style risks unless failure is structurally safe28:18 | AI-native teams and corporate reskilling among smaller, senior teams + digital workers replacing junior tasks35:24 | What happens to the average corporate employee: tasks disappear, workflows evolve, but people still matter38:50 | If Alex were CEO: how to move a workforce into an AI-safe future and target 25% profit uplift through AI44:01 | Most counterintuitive venture principle — “drop bad ideas fast” and why persistence is sometimes the wrong discipline46:05 | What top CEOs are doing right now: coding with Claude, learning by building, and staying close to users49:00 | The compounding effect: “what was impossible 6 months ago is normal today” and why constant feedback loops win

Today we tackle the noise surrounding the AI movement with Paul Klein, CEO and Founder of Browserbase. With a career spanning early-stage Twilio to raising $70 million in under two years for his own infrastructure startup, Paul brings much-needed critical thinking to the "AI bubble" debate. We explore the bridge between old-world sales principles and modern, developer-first GTM strategies. Paul breaks down why Product-Led Growth (PLG) should be viewed as a pipeline engine rather than just a revenue machine and explains the power of the "Logo Flywheel" in creating executive FOMO.

  Check out the video version of the episode here! EPISODE 376 The High Priest Rey brings the Fist of the Khonshu series to a close with one final review.  Gearing up for the new upcoming series, MARC SPECTOR: MOON KNIGHT out in February, how does the finale to the Haunting of the Wrecker ? Tune in to find out! Fist of Khonshu Vol. 1 #15 "The Haunting of the Wrecker - Finale" Release Date December 17th 2025 Cover Date February 2026   Writer(s) Jed MacKay Penciler(s) Domenico Carbone Inker(s) Domenico Carbone Colorist(s) Rachelle Rosenberg Letterer(s) VC's Cory Petit Editor(s) Devin Lewis Shine those idols, and dust off the cape....IT'S TIME TO GET YOUR KHONSHU ON! SHOW NOTES:  Fist of Khonshu Vol. 1 #15 WHERE TO HEAR US: Podcast Page Podchaser Apple Podcast Google Play Music Spotify Overcast SoundCloud Stitcher Tunein Podbean Into the Knight RSS Feed YouTube DROP US A LINE: Website: intotheknight.libsyn.com Email: feedback@itkmoonknight.com FB Page: Into the Knight- A Moon Knight Podcast Page FB Group: Into the Knight- A Moon Knight Fan Base Bluesky: Into the Knight - Bluesky X: @ITKmoonknight Instagram: ITK Moon Knight Discord ITK Server: ITK Server   CHECK OUT THESE OTHER SHOWS I CO-HOST! Sons of the Dragon - An Immortal Iron Fist Podcast DCAU - The DC Animated Universe Podcast  Capes & Lunatics Sidekicks To Know Her Is To Fear Her: The Spider-Woman Podcast Predator & pREY - a Yautja Podcast Rey Plays Games!   OFFICIAL ITK MERCHANDISE @ DASHERY - BUY HERE! Thinking of starting your own podcast? Check out our special offer from Libsyn!   CREDITS: ITK Logo Graphic Design by The High Priests of Khonshu ITK Graphic Design produced and assisted by Randolph Benoit ITK Opening Sequence for video by Chris Kelly Music Written, Performed and generously provided by Deleter Co-Producers Wayne Hunt Josh Johnson Anthony Sytko Matthew Howell Jonathan Sapsed Dan Newland Executive Producers Justin Osgood Derek O'Neill Daniel Doing Mario Di Giacomo Odin Odinsword Produced by Reynaldo Gesmundo The music for this episode contains excerpts from various songs and music copyrighted by Deleter and Brian Warshaw. The music agreed for use on Into the Knight - A Moon Knight Podcast is licensed under an Attribution License;

Dan Gray is a prolific thinker, writer and researcher in the VC world, who describes himself as best known for  “long walls of text on Twitter about the venture industry.” Now the Research Lead at Odin, he sits down with Nick Chirls,  Partner at Asylum Ventures, and Beezer Clarkson, Partner at Sapphire Partners, to discuss the bifurcation of VC, the different types of risk in venture, and the role geography plays in investing. He also unpacks a survey he recently conducted that dives deep into how early-stage VC is faring in a challenging year.Learn more about Sapphire Partners: sapphireventures.com/sapphire-partnersLearn more about OpenLP: openlp.vcLearn more about Asylum Ventures: asylum.vcLearn more about Odin: joinodin.comRead Dan's Writing on VC: credistick.comRead the Results of Dan's Survey: credistick.com/lp-2025For a monthly roundup of the latest venture insights, including the newest Origins episodes, subscribe to the OpenLP newsletter – delivered straight to your inbox: subscribe.openlp.vcCHAPTERS:0:00 Welcome to Origins2:16 Unpacking the Early-Stage VC Survey12:27 Who's Participating Where and When?15:30 The Importance of GP Branding22:19 Dan's Advice to Early Managers29:47 What the New Normal Looks Like32:20 How Can Smaller Firms Compete?40:34 What Does This Mean for 2026?Origins is produced by Sapphire Ventures in partnership with⁠⁠ Pod People.⁠Nothing presented herein is intended to constitute investment advice, and under no circumstances should any information provided herein be used or considered as an offer to sell or a solicitation of an offer to buy an interest in any investment fund managed by Sapphire Ventures, LLC (“Sapphire”). Any offer or solicitation of securities by Sapphire may only be made in accordance with the current offering documents for a managed Fund in which Sapphire is an advisor. Additionally, Sapphire does not solicit or make its services available to the public; such offerings may only be provided to accredited investors and qualified purchasers defined within the Securities Act of 1933 and the Investment Company Act of 1940. Information provided reflects Sapphire Ventures' views as of a particular time. Such views are subject to change at any point and Sapphire Ventures shall not be obligated to provide notice of any change. Due to various risks and uncertainties, actual events, results or the actual experience may differ materially from those reflected or contemplated in these statements. While Sapphire Ventures has used reasonable efforts to obtain information from reliable sources, Sapphire makes no representations or warranties as to the accuracy, reliability, or completeness of third party information presented herein. Nothing presented herein may be relied upon as a guarantee or assurance as to the future success of any particular investment opportunity or strategy. Past performance is not indicative of future results.

 Early-stage founders spend years learning how to fundraise from venture capitalists.But very few ever look beyond the VC sitting across the table.Just like founders need to fundraise from VCs, VCs need to fundraise from limited partners.Who are the guys who give VCs the molah-molah?What are the hidden incentives?And how those dynamics quietly shape fundraising, timing, and pressure.“Everyone thinks they're pitching one person. They're not.”Ariel Barack is a Senior Partner and the Chief Executive of Ordway Selections, a private investment office investing primarily in food and agriculture, health, blockchains, and digital assets.As Einstein said, “You have to learn the rules of the game. And then you have to play better than anyone else.”Well, today we will look at the rules of the game, so you can play better than anyone else.This was a very interesting conversation, and I hope you will enjoy it as much as I did.LinksConnect with Ariel Barackhttps://www.linkedin.com/in/arielbarack/Mentioned: Anterra Capitalhttps://anterracapital.com/Connect with the host:⁠⁠⁠⁠⁠https://www.linkedin.com/in/schmidt-marina/⁠⁠⁠⁠⁠marina@wearekinetik.comCould use some help with your comms? Check out ⁠⁠https://www.wearekinetik.com/

Ivan Cossu is Co-Founder and CEO of deskbird, a flexible workplace management platform that's scaled past $10 million ARR. Founded in April 2020 during COVID's most uncertain period, deskbird survived a near-death pivot just months in and scaled across 10 international markets within six months—an unconventional path that challenged conventional wisdom about market domination strategies. Ivan shares the tactical decisions behind their international expansion, the shift from founder-led to scalable sales, and why they're deliberately targeting an underfunded VC category. Topics Discussed: The critical pivot from an Airbnb for co-working spaces to workplace management software in July 2020, months before running out of capital The counterintuitive decision to scale internationally within six months rather than dominating a single market first Balancing consumer-grade UX with enterprise-level customization in a category where competitors felt like "database queries" The mechanics of transitioning from pure inbound to incorporating outbound without breaking what's working US market expansion from Europe with higher close rates than home markets—and what that signaled about timing Why traditional email outbound is dead in the AI era and what actually works for breaking through GTM Lessons For B2B Founders: Scale your proven funnel globally before you perfect it locally: When deskbird saw strong early traction, they launched landing pages across UK and US markets within months to test demand signals. Ivan's contrarian take: "If you have a good funnel that's working, be bold enough to scale it globally" rather than spending years dominating Germany first. The key qualifier—you need solid core product and conversion metrics, not just initial traction. They were "way too scared of going international because it always worked out way better than we thought," often seeing better metrics in new markets than home markets. Most founders over-index on local penetration when they should be testing international demand. Choose validation channels by cycle time, not potential scale: In the first 6-12 months, avoid any channel with an 18-month feedback loop, even if it's your eventual ICP. Ivan targeted paid search and lower mid-market specifically because "you get a good sample size quite fast." Fast feedback loops let you iterate positioning, messaging, and ICP assumptions weekly rather than annually. Once you have conviction from high-velocity channels, then layer in longer-cycle enterprise motions. This sequencing prevents burning 12+ months on the wrong strategy. Founder-led sales is a permanent muscle, not a phase to exit: At $10M+ ARR, Ivan still joins sales calls regularly, citing a top entrepreneur-investor's rule: "Sales always needs to remain a final topic." The evolution isn't binary—it's additive. First hires (around 9 months post-MVP) were generalist "hard workers" who could sell vision over process. Today's hires are more disciplined as repeatable plays emerged. But the founder never exits—they shift from doing all deals to strategic deals, competitive situations, and maintaining direct customer insight. Even Benioff at Salesforce's scale still jumps into deals. Outbound in the AI era requires anti-scale tactics: Ivan's blunt assessment: "I don't believe in emails and any kind of written communication, especially not in the age of AI—it's just inflated." What works: (1) Targeted account selection—not 1:1 but not 1:1000 either, find the sweet spot of focused ABM, (2) Physical mail and offline media, (3) Cold calling with proper infrastructure. The challenge isn't the tactic—it's "having all the BDRs and AEs knowing which accounts they have to call, seamlessly calling account after account." Most companies can't operationalize the calling machine. Best results come when marketing warms leads with intent data, then hands them to outbound teams—not pure cold outreach. Underfunded categories force better unit economics: Deskbird's space isn't flooded with VC dollars—Ivan mapped 50-60 European competitors but limited mega-rounds. His take: "There's a downside, it's harder to get VC money, but once you get it you don't have the problem that some spaces are overfunded and it's crazily driving up customer acquisition cost." Markets with excessive capital often have one winner and "very sad consolidation" for positions 2-4. Constrained capital forced deskbird to build profitably and focus on product differentiation (Airbnb-like UX meets enterprise customization) rather than outspending competitors. Close rates in new markets signal expansion timing better than absolute numbers: Deskbird closed US deals from Europe with European AEs in mismatched time zones—and saw the highest close rates of any market. Ivan's logic: "If we can close them from Europe with our European AEs working in different time zones who cannot deliver the same SLAs, and we then go to the US, it should get even better." Don't wait for perfect execution—if you're winning despite structural disadvantages, that's your signal to invest. They hired their first US-based team only after proving they could win remotely. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Ep. 197 features Benson Bleier and Daniel Prior, Co-Founders of Regen, an automated savings platform built specifically for sports bettors. break down how Regen helps bettors automatically save money on every bet — win or lose — and why they believe savings and investing can become a core part of sustainable gaming.   Hear them discuss: Benson and Daniel's paths from consulting, VC, and professional poker into building a betting-adjacent fintech startup How the founders met in Argentina through padel and decided to launch Regen How poker bankroll management inspired the original idea behind Regen What Regen does: automated savings triggered every time a sports bet is placed (win or lose) How the product works, including sportsbook connections, bank integrations, and user-set saving rules Why users save on both wins and losses and how typical saving percentages are set How Regen aggregates betting activity across multiple sportsbooks to provide simple performance insights Why Regen positions itself as a fintech, “gambling-adjacent” product for operators and bettors How Underdog's Guard Dog fund discovered Regen and why it invested Regen's roadmap, including operator integrations, investing products, and its vision for sustainable betting and financial education   Catch the video version of this episode here.   Learn more

“And I’m here to remind you Of the mess you left when you went away It’s not fair to deny me Of the cross I bear that you gave to me You, you, you oughta know…” In this review episode, Mark and Dan discuss Amazing Spider-Man (vol. 7) #20, which is legacy issue #984. This issue was written by Joe Kelly. The cover features artwork by John Romita Jr., Scott Hanna, and Dean White. The interiors feature pencils by John Romita Jr., Paco Diaz, and Todd Nauck, inks by Scott Hanna, Paco Diaz, and Todd Nauck, colors by Marcio Menyz, Erick Arciniega, and Marte Gracia, and, of course, letters by VC's Joe Caramagna. This issue was first released on January 21st, 2025. Rick Coste edited this episode. Alex Galucki edited the video version of this podcast. Our artwork is handcrafted by artists Ron Frenz, Sal Buscema, and Nick Cagnetti. Our theme songs were produced by Ryland Bojack, Tony Thaxton, and Spider-Maj. Our animated introduction to the show is by Josh Sutton of Panels to Pixels. Watch the show on YouTube: https://www.youtube.com/channel/UCOPCnjzQZNViyEnoOuckaVQ We would also love to see you join our Amazing Spider-Slack community board. If you'd like to join in on our amazing conversations, click this link to get started: https://join.slack.com/t/amazingspider/shared_invite/zt-42tsfhs2-yBaH6KkRmOWiW_8gCf9SmQ This week's Patreon podcasts include a review of Amazing Spider-Man (vol. 7) #21, our interview with Ron Frenz and Tom DeFalco about Venom #252, and two episodes of the Whatever a Spider Can Diaries, which documents Dan’s process of writing a book about Spider-Man. If you'd like to follow along with our reviews as they are released, please check out our Patreon page: https://www.patreon.com/superiorspidertalk Read our B-Title reviews, collecting memories, and more in the Amazing Spider-Talk Substack! http://www.amazingspider.substack.com You can email questions to our show at amazingspidertalk@gmail.com or by clicking here. You can also BUY MARK'S BOOK, 100 Things Spider-Man Fans Should Know & Do Before They Die. The post The Amazing Spider-Man (vol. 7) #20 / LGY #984 – REVIEW appeared first on Amazing Spider-Talk.

Bob Goodson was the first employee at Yelp, founder of social media analytics company Quid, co-inventor of the Like button, and co-author of the new book Like: The Button That Changed the World. On Oct 1, 2025, Bob spent a day with our MBA students at the University of Kansas, and he shared so much great content that I asked him if we could put together some of the highlights as a podcast, which I've now put together in three chapters: First is Careers, second is Building Companies, and third is AI and Social Media. As a reminder, any views and perspectives expressed on the podcast are solely those of the individual, and not those of the organizations they represent. Hope you enjoy the episode. - [Transcript] Nate:  My name is Nate Meikle. You're listening to Meikles and Dimes, where every episode is dedicated to the simple, practical, and under-appreciated. Bob Goodson was the first employee at Yelp, founder of social media analytics company Quid, co-inventor of the like button, and co-author of the new book Like: The Button That Changed the World. On Oct 1, 2025, Bob spent a day with our MBA students at the University of Kansas, and he shared so much great content that I asked him if we could put together some of the highlights as a podcast, which I've now put together in three chapters: First is Careers, second is Building Companies, and third is AI and Social Media. As a reminder, any views and perspectives expressed on the podcast are solely those of the individual and not those of the organizations they represent. Hope you enjoy the episode. Let's jump into Chapter 1 on Careers. For the first question, a student asked Bob who he has become and how his experiences have shaped him as a person and leader.   Bob:  Oh, thanks, Darrell. That's a thoughtful question. It's thoughtful because it's often not asked, and it's generally not discussed. But I will say, and hopefully you'll feel like this about your work if you don't already, that you will over time, which is I'm 45 now, so I have some sort of vantage point to look back over. Like, I mean, I started working when I was about 9 or 10 years old, so I have been working for money for about 35 years. So I'm like a bit further into my career than perhaps I look. I've been starting companies and things since I was about 10. So, in terms of like my professional career, which I guess started, you know, just over 20 years ago, 20 years into that kind of work, the thing I'm most grateful for is what it's allowed me to learn and how it's evolved me as a person. And I'm also most grateful on the business front for how the businesses that I've helped create and the projects and client deployments and whatever have helped evolve the people that have worked on them. Like I genuinely feel that is the most lasting thing that anything in business does is evolve people. It's so gratifying when you have a team member that joins and three years later you see them, just their confidence has developed or their personality has developed in some way. And it's the test of the work that has evolved them as people. I mean, I actually just on Monday night, I caught up for the first time in 10 years with an intern we had 10 years ago called Max Hofer. You can look him up. He was an intern at Quid. He was from Europe, was studying in London, came to do an internship with us in San Francisco for the summer. And, he was probably like 18, 19 years old. And a few weeks ago, he launched his AI company, Parsewise, with funding from Y Combinator. And, he cites his experience at Quid as being fundamental in choosing his career path, in choosing what field he worked in and so on. So that was, yeah, that was, when you see these things happening, right, 10 years on, we caught up at an event we did in London on Monday. And it's just it's really rewarding. So I suppose, yeah, like I suppose it's it's brought me a lot of perspective, brought me a lot of inner peace, actually, you know, the and and when you're when I was in the thick of it at times, I had no sense of that whatsoever. Right. Like in tough years. And there were some - there have been some very tough years in my working career that you don't feel like it's developing you in any way. It just feels brutal. I liken starting a company, sometimes it's like someone's put you in a room with a massive monster and the monster pins you down and just bats you across the face, right, for like a while. And you're like just trying to get away from the monster and you're like, finally you get the monster off your back and then like the monster's just on you again. And it just, it's just like you get a little bit of space and freedom and then the monster's back and it's just like pummeling you. And it's just honestly some years, like for those of you, some of you are running companies now, right? And starting your own companies as well. And I suppose it's not just starting companies. There are just phases in your career and work where it's like you look back and you're like, man, that year was just like, that was brutal. You just get up and fight every day, and you just get knocked down every day. So I think, I don't wish that on anybody, but it does build resilience that then transfers into other aspects of your life.    Nate:  Next, a student made a reference to the first podcast episode I recorded with Bob and asked him if he felt like he was still working on the most important problem in his field.    Bob:  Yeah, thank you. Thanks for listening to the podcast, as this gives us… thanks for the chance to plug the podcast. So the way I met Nate is that he interviewed me for his podcast. And for those of you who haven't listened to it, it's a 30 minute interview. And he asked this question about what advice would you share with others? And we honed in on this question of like, what is the most important problem in your field? And are you working on it? Which I love as a guide to like choosing what to work on. And so we had a great conversation. I enjoyed it so much and really enjoyed meeting Nate. So we sort of said, hey, let's do more fun stuff together in the future. So that's what brought us to this conversation. And thanks to Nate for, you know, bringing us all together today. I'm always working on what I think is the most important problem in front of me. And I always will be. I can't help it. I don't have to think about it. I just can't think about anything else. So yes, I do feel like right now I'm working on the most important problem in my field. And I feel like I've been doing that for about 20 years. And it's not for everybody, I suppose. But I just think, like, let's talk about that idea a little bit. And then I'll say what I think is the most important problem in my field that I'm working on. Like, just to translate it for each of you. Systems are always evolving. The systems we live in are evolving. We all know that. People talk about the pace of change and like life's changing, technology's changing and so on. Well, it is, right? Like humans developed agriculture 5,000 years ago. That wasn't very long ago. Agriculture, right? Just the idea that you could grow crops in one area and live in that area without walking around, without moving around settlements and different living in different places. And that concept is only 5,000 years old, right? I mean, people debate exactly how old, like 7, 8,000. But anyway, it's not that long ago, considering Homo sapiens have been walking around for in one form or another for several hundred thousand years and humans in general for a couple million years. So 5,000 years is not long. Look at what's happened in 5,000 years, right? Like houses, the first settlements where you would actually just live at sleep in the same place every night is only 5,000 years old. And now we've got on a - you can access all the world's knowledge - on your phone for free through ChatGPT and ask it sophisticated questions and all right answers. Or you can get on a plane and fly all over the world. You have, you know, sophisticated digital currency systems. We have sophisticated laws. And like, we've got to be aware, I think, that we are living in a time of great change. And that has been true for 5,000 years, right? That's not new. So I think about this concept of the forefront. I imagine, human development is, you can just simply imagine it like a sphere or balloon that someone's like blowing up, right? And so every time they breathe into it, like something shifts and it just gets bigger. And so there's stuff happening on the forefront where it's occupying more space, different space, right? There's stuff in the middle that's like a bit more stable and a bit more, less prone to rapid change, right? The education system, some parts of the healthcare system, like certain professions, certain things that are like a bit more stable, but there's stuff happening all the time on the periphery, right? Like on the boundary. And that stuff is affecting every field in one way or another. And I just think if you get a chance to work on that stuff, that's a really interesting place to live and a really interesting place to work. And I feel like you can make a contribution to that, right, if you put yourself on the edge. And it's true for every field. So whatever field you're in, we had people here today, you know, in everything from, yeah, like the military to fitness to, you know, your product, product design and management and, you know, lots of different, you know, people, different backgrounds. But if you ask yourself, what is the most important thing happening in my area of work today, and then try to find some way to work on it, then I think that sort of is a nice sort of North Star and keeps things interesting. Because the sort of breakthroughs and discoveries and important contributions are actually not complicated once you put yourself in that position. They're obvious once you put yourself in that position, right? It's just that there aren't many people there hanging out in that place. If you're one of them, if you put yourself there, not everyone's there, suddenly you're kind of in a room where like lots of cool stuff can happen, but there aren't many people around to compete with you. So you're more likely to find those breakthroughs, whether it's for your company or for, you know, the people you work with or, you know, maybe it's inventions and, but it just, anyway, so I really like doing that. And in my space right now, I call it the concept of being the bridge. And this could apply to all of you too. It's a simple idea that the world's value, right, is locked up in companies, essentially. Companies create value. We can debate all the other vehicles that do it, but basically most of the world's value is tied up in companies and their processes. And that's been true for a long time. There's a new ball of power in the world, which is been created by large language models. And I think of that just like a new ball of power. So you've got a ball of value and a ball of power. And the funny thing about this new ball of power is this actually has no value. That's a funny thing to say, right? The large language models have no value. They don't. They don't have any value and they don't create value. Think about it. It's just a massive bag of words. That has no value, right? I can send you a poem now in the chat. Does that have any value? You might like it, you might not, but it's just a set of words, right? So you've got this massive bag of words that with like a trillion connections, no value whatsoever. That is different from previous tech trends like e-commerce, for example, which had inherent value because it was a new way to reach consumers. So some tech trends do have inherent value because they're new processes, but large language models don't. They're just a new technology. They're very powerful. So I call it a ball of power. but they don't have any value. So why is there a multi-trillion dollar opportunity in front of all of us right now in terms of value creation? It's being the bridge. It's how to make use of this ball of power to improve businesses. And businesses only have two ways you improve them. You save money or you grow revenue. That's it. So being the bridge, like taking this new ball of power and finding ways to save money, be more efficient, taking this new ball of power and finding ways to access new consumers, create new offerings and so on, right? Solve new problems. That is where all the value is. So while you may think that the new value, this multi-trillion dollar opportunity with AI is really for the people that work on the AI companies, sure, there's a lot of, you know, there's some money to be made there. And if you can go work for OpenAI, you probably should. Everyone should be knocking the door down. Everyone should be applying for positions because it's the most important company, you know, in our generation. But if you're not in OpenAI or Meta or Microsoft or whoever, you know, three or four companies in the US that are doing this, for everybody else, it's about being the bridge, finding ways that in your organizations, you can unlock the power of AI by bringing it into the organizations and finding ways to either save money or grow the business. And that's fascinating to me because anybody can be the bridge. You don't have to be good with large language models. You have to understand business processes and you have to be creative and willing to even think like this. And suddenly you can be on the forefront of like creating massive value at your companies because you were the, you know, you're the one that brings brings in the new tools. And I think that skill set, there are certain skills involved in being the bridge, but that skill set of being the bridge is going to be so valuable in the next 5 to 10 years. So I encourage people, and that's what I'm doing. Like, I see my role - I serve clients at Quid. I love working with clients. You know, I'm not someone that really like thrives for management and like day-to-day operations and administration of a business. I learned that about myself. And so I just spend my time serving clients. I have done for several years now. And I love just meeting clients and figuring out how they can use Quid's AI, Quid's data, and any other form of AI that we want to bring to the table to improve their businesses. And that's just what I do with my time full-time. And I'll probably be doing that for at least the next 5 or 10 years. I think the outlook for that area of work is really huge.    Nate:  Building on the podcast episode where Bob talked about working on the most important problem in his field, I asked if he could give us some more details on how he took that advice and ended up at Yelp.    Bob:  So I was in grad school in the UK studying, well, I was actually on a program for medieval literature and philosophy, but looking into like language theory. So it was not the most commercial course that one could be doing. But I was a hobbyist programmer, played around with the web when it first came up and was making, you know, various new types of websites for students. while in my free time. I didn't think of that as commercial at all. I didn't see any commercial potential in that. But I did meet the founders of PayPal that way, who would come to give a talk. And I guess they saw the potential in me as a product manager. You know, there's lots of new apps they wanted to build. This is in 2003. And so they invited me to the US to work for them. And I joined the incubator when there were just five people in it. Max Levchin was one of them, the PayPal co-founder. Yelp, Jeremy Stoppelman and Russel Simmons were in those first five people. They turned out to be the Yelp co-founders. And Yelp came out of the incubator. So we were actually prototyping 4 companies each in a different industry. There was a chat application that we called Chatango that was five years before Twitter or something, but it was a way of helping people to chat online more easily. There were, which is still around today, but didn't make it as a hit. There was an ad network called AdRoll, which ended up getting renamed and is still around today. That wasn't a huge hit, but it's still around. Then there was Slide, which is photo sharing application, photo and video sharing, which was Max's company. That was acquired by Google. And that did reasonably well. I think it was acquired for about $150 million. And then there was Yelp, which you'll probably know if you're in the US and went public on the New York Stock Exchange and now has a billion dollars in revenue. So those are the four things that we were trying to prototype, each very different, as you can see. But I suppose that's the like tactical story, right? Like the steps that took me there. But there was an idea that took me there that started this journey of working on the most, the most important problems that are happening in the time. So if I rewind, when I was studying medieval literature, I got to the point where I was studying the invention of the print press. And I'd been studying manuscript culture and seeing what happened when the print press was invented and how it changed education, politics, society. You know, when you took this technology that made it cheaper to print, to make books, books were so expensive in the Middle Ages. They were the domain of only the wealthiest people. And only 5% of people could read before the print process was invented, right? So 95% of people couldn't read anything or write anything. And that was because the books themselves were just so expensive, they had to be handwritten, right? And so when the print press made the cost of a book drop dramatically, the literacy rates in Europe shot up and it completely transformed society. So I was studying that period and at the same time, like dabbling with websites in the early internet and sort of going, oh, like there was this moment where I was like, the web is our equivalent of the print press. And it's happening right now. I'm talking like maybe 2002, or so when I had this realization. It's happening right now. It's going to change everything during our lifetimes. And I just had a fork in my life where it's like I could be a professor in medieval history, which was the path I was on professionally. I had a scholarship. There were only 5 scholarships in my year, in the whole UK. I was on a scholarship track to be a professor and study things like the emergence of the print press, or I could contribute to the print press of our era, which is the internet, and find some way to contribute, some way, right? It didn't matter to me if it was big or small, it was irrelevant. It was just be in the mix with people that are pushing the boundaries. Whatever I did, I'd take the most junior role available, no problem, but like just be in the mix with the people that are doing that. So yeah, that was the decision, right? Like, and that's what led me down to sort of leave my course, leave my scholarship. And, my salary was $40,000 when I moved to the US. All right. And that's pretty much all I earned for a while. I'd spent everything I had starting a group called Oxford Entrepreneurs. So I had absolutely no money. The last few months actually living in Oxford, I had one meal a day because I didn't have enough money to buy three meals a day. And then I packed up my stuff in a suitcase - one bag - wasn't even a suitcase, it was a rucksack and moved to the US and, you know, and landed there basically on a student visa and friends and family was just thought I was, you know, not making a good decision, right? Like, I'm not earning much money. It's with a bunch of people in a like a dorm room style incubator, right? Where the tables and chairs we pulled off the street because we didn't want to spend money on tables and chairs. And where I get to work seven days a week, 12 hours a day. And I've just walked away from a scholarship and a PhD track at Oxford to go into that. And it didn't look like a good decision. But to me, the chance to work on the forefront of what's happening in our era is just too important and too interesting to not make those decisions. So I've done that a number of times, even when it's gone against commercial interest or career interest. I haven't made the best career decisions, you know, not from a commercial standpoint, but from a like getting to work on the new stuff. Like that's what I've prioritized.    Nate:  Next, I asked Bob about his first meeting with the PayPal founders and how he made an impression on them.    Bob:  Good question, because I think... So I have a high level thought on that, like a rubric to use. And then I have the details. I'll start with the details. So I had started the entrepreneurship club at Oxford. And believe it or not, in 800 years of the University's history, there was no entrepreneurship club. And they know that because when you want to start a new society, you go to university and they go through the archive, which is kept underground in the library, and someone goes down to the library archives and they go through all these pages for 800 years and look for the society that's called that. And if there is one, they pull it out and then they have the charter and you have to continue the charter. Even if it was started 300 years ago, they pull out the charter and they're like, no, you have to modify that one. You can't start with a new charter. So anyway, it's because it's technically a part of the university, right? So they have a way of administrating it. So they went through the records and were like, there's never been a club for entrepreneurs at the university. So we started the first, I was one of the co-founders of this club. And, again, there's absolutely no pay. It was just a charity as part of the university. But I love the idea of getting students who were scientists together with students that were business minded, and kind of bringing technical and creative people together. That was the theme of the club. So we'd host drinks, events and talks and all sorts. And I love building communities, at least at that stage of my life. I loved building communities. I'd been doing it. I started several charities and clubs, you know, throughout my life. So it came quite naturally to me. But what I didn't, I mean, I kind of thought this could happen, but it really changed my life as it put me at the center of this super interesting community that we've built. And I think that when you're in a university environment, like starting clubs, running clubs, even if they're small, like, we, I ran another club that we called BEAR. It was an acronym. And it was just a weekly meetup in a pub where we talked about politics and society and stuff. And like, it didn't go anywhere. It fizzled out after a year or two, but it was really like an interesting thing to work on. So I think when you're in a university environment, even if you guys are virtual, finding ways to get together, it's so powerful. It's like, it's who you're meeting in courses like this that is so powerful. So I put myself in the middle of this community, and I was running it, I was president of it. So when these people came to speak at the business school, I was asked to bring the students along, and I was given 200 slots in the lecture theatre. So I filled them, I got 200 students along. We had 3,000 members, by the way, after like 2 years running this club. It became the biggest club at the university, and the biggest entrepreneurship student community in Europe. It got written up in The Economist actually as like, because it was so popular. But yeah, it meant that I was in the middle of it. And when the business school said, you can come to the dinner with the speakers afterwards, that was my ticket to sit down next to the founder of PayPal, you know. And so, then I sat down at dinner with him, and I had my portfolio with me, which back then I used to carry around in a little folder, like a black paper folder. And every project I'd worked on, every, because I used to do graphic design for money as a student. So I had my graphic design projects. I had my yoga publishing business and projects in there. I had printouts about the websites I'd created. So when I sat down next to him, and he's like, what do you work on? I just put this thing on the table over dinner and was like, he picked it up and he started going through it. And he was like, what's this? What's this? And I think just having my projects readily available allowed him to sort of get interested in what I was working on. Nowadays, you can have a website, right? Like I didn't have a website for a long time. Now I have one. It's at bobgoodson.com where I put my projects on there. You can check it out if you like. But I think I've always had a portfolio in one way or another. And I think carrying around the stuff that you've done in an interactive way is a really good way to connect with people. But one more thing I'll say on this concept, because it connects more broadly to like life in general, is that I think that I have this theory that in your lifetime, you get around five opportunities put in front of you that you didn't yet fully deserve, right? Someone believes in you, someone opens a door, someone's like, hey, Nate, how about you do this? Or like, we think you might be capable of this. And it doesn't happen very often, but those moments do happen. And when they happen, a massive differentiator for your life is do you notice that it's happening and do you grab it with both hands? And in that moment, do everything you can to make it work, right? Like they don't come along very often. And to me, those moments have been so precious. I knew I wouldn't get many of them. And so every time they happened, I've just been all in. I don't care what's going on in my life at that time. When the door opens, I drop everything, and I do everything I can to make it work. And you're stretched in those situations. So it's not easy, right? Like someone's given you an opportunity to do something you're not ready for, essentially. So you're literally not ready for it. Like you're not good enough, you don't know enough, you don't have the knowledge, you don't have the skills. So you only have to do the job, but you have to cultivate your own skills and develop your skills. And that's a lot of work. You know, when I landed in, I mean, working for Max was one of those opportunities where I did not, I'd not done enough to earn that opportunity when I got that opportunity. I landed with five people who had all done PayPal. They were all like incredible experts in their fields, right? Like Russ Simmons, the Yelp co-founder, had been the chief architect of PayPal. He architected PayPal, right? Like I was with very skilled technical people. I was the only Brit. They were all Americans. So I stood out culturally. Most of them couldn't understand what I was saying when I arrived. I've since changed how I speak. So you can understand me, the Americans in the room. But I just mumbled. I wasn't very articulate. So it was really hard to get my ideas across. And I had programmed as a hobbyist, but I didn't know enough to be able to program production code alongside people that had worked at PayPal. I mean, their security levels and their accuracy and everything was just off the, I was in another league, right? So there I was, I felt totally out of my depth, and I had to fight to stay in that job for a year. Like I fought every day for a year to like not get kicked out of that job and essentially out of the country. Because without their sponsorship, I couldn't have stayed in the country. I was on a student visa with them, right? And I worked seven days a week for 365 days in a row. I basically almost lived in the office. I got an apartment a few blocks from the office and I had to. No one else was working those kind of hours, but I had to do the job, and I had to learn 3 new programming languages and all this technical stuff, how to write specs, how to write product specs like I had to research the history of various websites in parts of the internet. So I'm just, I guess I'm just giving some color to like when these doors open in your career and in your life, sometimes they're relationship doors that open, right? You meet somebody who's going to change your life, and it's like, are you going to fight to make that work? And, you know, like, so not all, it's not always career events, but when they happen, I think like trusting your instinct that this is one of those moments and knowing this is one of the, you can't do this throughout your whole life. You burn out and you die young. Like you're just not sustainable. But when they happen, are you going to put the burners on and be like, I'm in. And sometimes it only takes a few weeks. Like the most it's ever taken for me is a year to walk through a door. But like, anyway, like just saying that in case anyone here has one of these moments and like maybe this will resonate with one of you, and you'll be like, that's one of the moments I need to walk through the door.    Nate:  That concludes chapter one. In chapter 2, Bob talks about building companies. First, I asked Bob if he gained much leadership experience at Yelp.    Bob:  I gained some. I suppose my first year or two in the US was in a technical role. So I didn't have anyone reporting to me. I was just working on the user interface and front end stuff. So really no leadership there. But then, there was a day when we still had five people. Jeremy started to go pitch investors for our second round because we had really good traffic growth, right? In San Francisco, we had really nice charts showing traffic growth. We'd started to get traction in New York and started to get traction in LA. So we've had the start of a nice story, right? Like this works in other cities. We've got a model we can get traffic. And Jeremy went to his first VC pitch for the second round. And the VC said, you need to show that you can monetize the traffic before you raise this round. The growth story is fine, but you also need to say, we've signed 3 customers and they're paying this much, right, monthly. So Jeremy came back from that pitch, and I remember very clearly, he sat down, kind of slumped in his chair and he's like, oh man, we're going to have to do some sales before we can raise this next round. Like we need someone on the team to go close a few new clients. And it's so funny because it's like, me and four people and everyone went like this and faced me at the same time. And I was like, why are you looking at me? Like, I'm not, I didn't know how to start selling to local businesses. And they're like, they all looked at each other and went, no, we think you're probably the best for this, Bob. And they were all engineers, like all four of them were like, background in engineering. Even the CEO was VP engineering at PayPal before he did Yelp. So basically, we were all geeks. And for some reason, they thought I would be the best choice to sell to businesses. And I didn't really have a choice in it, honestly. I didn't want to do it. They were just like, you're like, that's what needs to happen next. And you're the most suitable candidate for it. So I I just started picking up the phone and calling dentists, chiropractors, restaurants. We didn't know if Yelp would resonate with bars or restaurants or healthcare. We thought healthcare was going to be big, which is reasonably big for Yelp now, but it's not the focus. But anyway, I just started calling these random businesses with great reviews. I just started with the best reviewed businesses. And the funny thing is some of those people, my first ever calls are still friends today, right? Like my chiropractor that I called is the second person I ever called and he signed up, ended up being my chiropractor for like 15 years living in San Francisco. And now we're still in touch, and we're great friends. So it's funny, like I dreaded those first calls, but they actually turned out to be really interesting people that I met. But yeah, we didn't have a model. We didn't know what to charge for. So we started out charging for calls. We changed the business's phone number. So if you're, you had a 415 number and you're a chiropractor on Yelp, we would change your number to like a number that Yelp owned, but it went straight through to their phone. So it was a transfer, but it meant our system could track that they got the call through Yelp, right? Yeah. And then we tracked the duration of the call. We couldn't hear the call, but we tracked the duration of the call. And then we could report back to them at the end of the month. You got 10 calls from Yelp this month and we're going to charge you $50 a call or whatever. So I sold that to 5 or 10 customers and people hated it. They hated that model because they're like, they'd get a call, it'd be like a wrong number or they just wanted to ask, they're already a current customer and they're asking about parking or something, right? So then we'd get back to and be like, you got a call and we charged you 50 bucks. So like, no, I can't pay you for that. Like, that was one of my current customers. So now the reality is they were getting loads of advertising and that was really driving the growth for their business, but they didn't want to pay for the call. So then I was like, that's not working. We have to do something else. Then we paid pay for click, which was we put ads on your page and when someone clicks it, they see you. And then people hated that too, because they're like, my mum just told me she's been like clicking on the link, right? Because she's like looking at my business. And my mum probably just cost me 5 bucks because she said she clicked it 10 times. And like, can you take that off my bill? So people hated the clicks. And then one day we just brought in a head of operations, Geoff Donaker. And by this point, by the way, I had like 2 salespeople working for me that I'd hired. And so it was me and two other people. We were calling these companies, signing these contracts. And one day I just had this epiphany. I was like, we should just pay for the ads that are viewed, not the ads that are clicked. In other words, pay for impressions to the ads. So if I tell you, I've put your ad in front of 500 people when they were looking for sushi this month, right? That you don't mind paying for because there's no action involved, but you're like, whoa, it's a big number. You put me in front of 500 people. I'll pay you 200 bucks for that. No problem. Essentially impression-based advertising. And I went to our COO and I was like, I think we should try this. He was like, if you want to give it a go. And I wrote up a contract and started selling it that day. And that is that format, that model now has a billion dollars revenue running through Yelp. So basically they took that model, like I switched it to impression-based advertising. And that was what was right for local. And our metrics were amazing. We're actually able to charge a lot more than we could in the previous two models. And I built out the sales team to about 20 people. Through that process, I got hooked, basically. Like I realized I love selling during that role. I would never have walked into sales, I think, unless everyone had gone, you have to do it. And I dreaded it, but I got really hooked on it. I love the adrenaline of it. I love hunting down these deals and I love like what you can learn from customers when you're selling. You can learn what they need and you can evolve your business model. So I love that flywheel and that's kind of what I've been doing ever since. But I built out a team of 20 people, so I got to learn management, essentially by just doing it at Yelp and building out that team.    Nate:  Next, I asked Bob how he developed his theory of leadership.    Bob:  I actually developed it really early on. You know, I mentioned earlier I'd been starting things since I was about 10 years old. And what's fascinated me between the age of like 10 and maybe, you know, my early 20s, I love the idea of creating stuff with people where no one gets paid. And here's why. These are charities and nonprofits and stuff, right? But I realized really early, if I can lead and motivate in a way where people want to contribute, even though they're not getting paid, and we can create stuff together, if I can learn that aspect, like management in that sense, then if I'm one day paying people, I'm going to get like, I'm going to, we're all going to be so much more effective, essentially, right? Like the organization is going to be so much more effective. And that is a concept I still work with today. Yes, we pay everyone quite well at Quid who works at Quid, right? Like we pay at or above market rate. But I never think about that. I never, ever ask for anything or work with people in a way that I feel they need to do it because that's their job ever. I just erased that from my mindset. I've never had that in my mindset. I always work with people with like, with gratitude and and in a way where I'm like, well, I'll try and make it fun and like help them see the meaning in the work, right? Like help them understand why it's an exciting thing to work on or a, why it's right for them, how it connects to their goals and their interests and why it's, you know, fun to contribute, whether it's to a client or to an area of technology or whatever we're working on. It's like, so yeah, I haven't really, I haven't, I mean, you guys might have read books on this, but I haven't really seen that idea articulated in quite the way that I think about it. And because I didn't read it in a book, I just kind of like stumbled across it as a kid. But that's, but I learned because I practiced it for 10 years before I even ended up in the US, when I started managing teams at Yelp, I found that I was very effective as a manager and a leader because I didn't take for granted that, you know, people had to do it because it was their job. I thought of ways to make the environment fun and make the connections between the different team members fun and teach them things and have there be like a culture of success and winning and sharing in the results of the wins together. And I suppose this did play out a little bit financially in my career because, although we pay people well at Yelp, we're kind of a somewhat mature business now. But in the early days of Yelp and in the early days of Quid, I never competed on pay. You know, when you're starting a company, it's a really bad idea to try and compete on pay. You have to, I went into every hiring conversation all the way through my early days at Yelp, as well as through the early days at Quid, like probably the first nearly 10 years at Quid. And every time I interviewed people, I would say early on, this isn't going to be where you earn the most money. I'm not going to be able to pay you market rate. You're going to earn less here than you could elsewhere. However, this is what I can offer you, right? Like whether then I make a culture that's about like helping learning. Like we always had a book like quota at Quid. If you want to buy books to read in your free time, I don't care what the title is, we'll give you money to buy books. And the reality is a book's like 10 bucks or 20 bucks, right? No one spends much on books, but that was one of the perks. I put together these perks so that we were paying often like half of what you could get in the market for the same role, but you're printing like reasons to be there that aren't about the money. Now, it doesn't work for everybody, you know, that's as in every company doesn't, but that's just what played out. And that's really important in the early days. You've got to be so efficient. And then once you start bringing in the money, then you can start moving up your rates and obviously pay people market rate. But early on, you've got to find ways to be really, really, really efficient and really lean. And you can't pay people market rate in the early days. I mean, people kind of expect that going into early stage companies, but I was particularly aggressive on that front. But that was just because I suppose it was in my DNA that like, I will try and give you other reasons to work here, but it's not going to be, it's not going to be for the money.    Nate:  Next, I asked Bob how he got from Yelp to Quid and how he knew it was time to launch his own company.    Bob:  Yeah, like looking back, if I'd made sort of the smart decision from a financial standpoint and from a, you know, career standpoint, I suppose you'd say, I would have just stayed put. if you're in a rocket ship and it's growing and you've got a senior role and you get to, you've got, you've earned the license to work on whatever you want. Like Yelp wanted me to move to Phoenix and create their first remote sales team. They wanted, I was running customer success at the time and I'd set up all those systems. Like there was so much to do. Yelp was only like three or four years old at the time, and it was clearly a rocket ship. And you know, I could have learned a lot more like from Yelp in that, like I could have seen it all the way through to IPO and, setting up remote teams and hiring hundreds of people, thousands of people eventually. So I, but I made the choice to leave relatively early and start my own thing. Just coming back to this idea we talked about in the session earlier today, I I always want to work on the forefront of whatever's going on, like the most important thing happening in our time. And I felt I knew what was next. I could kind of see what was next, which was applying AI to analyze the world's text, which was clear to me by about 2008, like that was going to be as big as the internet. That's kind of how I felt about it. And I told people that, and I put that in articles, and I put it in talks that are online that you can go watch. You know, there's one on my website from 10 years ago where I'd already been in the space for five or six years. You can go watch it and see what I was saying in 2015. So fortunately, I documented this because it sounds a bit, you know, unbelievable given what's just happened with large language models and open AI. But it was clear to me where things were going around 2008. And I just wanted to work on what was next, basically. I wanted to apply neural networks and natural language processing to massive text sets like all the world's media, all the world's social media. And yeah, I suppose whenever I've seen what's going to happen next, like with social network, going to Yelp, like seeing what was going to happen with social networking, going to building Yelp, and then seeing this observation about AI and going and doing Quid, it's not, it doesn't feel like a choice to me. It's felt like, well, just what I have to do. And regardless of whether that's going to be more work, harder work, less money, et cetera, it's just how I'm wired, I guess. And I'm kind of, I see it now. Like I see what's next now. And I'll probably just keep doing this. But I was really too early or very, very early, as you can probably see, to be trying to do that at like 2008, 2009, seven or eight years before OpenAI was founded, I was just banging my head against the wall for nearly a decade with no one that would listen. So even the best companies in the world and the biggest investors in the world, again, I won't name them, But it was so hard to raise money. It was so hard to get anyone to watch it that, after a time, I actually started to think I was wrong. Like after doing it for like 10 years and it hadn't taken off, I just started to think like, I was so wrong. I spent a year or two before ChatGPT took off. I'd got to a point where I'd spent like a year or two just thinking, how could my instinct be so wrong about what was going to play out here? How could we not have unlocked the world's written information at this point? And I started to think maybe it'll never happen, you know, and like I was simply wrong, which of course you could be wrong on these things. And then, you know, ChatGPT and OpenAI like totally blew up, and it's been bigger than even I imagined. And I couldn't have told you exactly which technical breakthrough was going to result in it. Like no one knew that large language models were going to be the unlock. But I played with everything available to try and unlock that value. And as soon as large language models became promising in 2016, we were on it, like literally the month that the Google BERT paper came out, because we were like knocking on that door for many years beforehand. And we were one of the teams that were like, trying to unlock that value. That's why many of the early Quid people are very senior at OpenAI and went on to take what they learned from Quid and then apply it in an OpenAI environment, which I'm very proud of. I'm very proud of those people, and it's amazing to see what they've done.    Nate:  That concludes Chapter 2. In Chapter 3, we discuss AI and social media. The first question was about anxiety and AI.    Bob:  Maybe I'll just focus on the anxiety and the issues first of all. A lot's been said on it. I suppose what would be my headlines? I think that one big area of concern is how it changes the job market. And I think the practical thing on that is if you can learn to be the bridge, then you're putting yourself in a really valuable position, right? Because if you can bridge this technology into businesses in a way that makes change and improvements, then you are moving yourself to a skill set that's going to continue to be really valuable. So that's just a practical matter. One of the executives I work with in a major US company likes to say will doctors become redundant because of AI? And he says, no, doctors won't be redundant, but doctors that don't use AI will be redundant. And that's kind of where we are, right? It's like, we're still going to need a person, but if you refuse, if you're not using it, you're going to fall behind and like that is going to put you at risk. So I think there is some truth to that little kind of illustrative story. There will be massive numbers of jobs that are no longer necessary. And the history of technology is full of these examples. Coming back to like 5,000 years ago, think of all the times that people invented stuff that made the prior roles redundant, right? In London, before electricity was discovered and harnessed, one of the biggest areas of employment was for the people that walked the streets at night, lighting the candles and gas lights that lit London. That was a huge breakthrough, right? You could put fire in the street, you put gas in the street and you lit London. Without that, you couldn't go out at night in London and like it would have been an absolute nightmare. The city wouldn't be what it is. But that meant there were like thousands of people whose job it was to light those candles and then go round in the morning when the sun came up and blow them out. So when the light bulb was invented, can you imagine the uproar in London where all these jobs were going to be lost, thousands of jobs were going to be lost. by people that no longer are needed to put out these lights. There were riots, right? There was massive social upheaval. The light bulb threatened and wiped out those jobs. How many people in London now work lighting gas lamps and lighting candles to light the streets, right? Nobody. That was unthinkable. How could you possibly take away those jobs? You know, people actually smashed these light bulbs when the first electric light bulbs were put into streets. People just went and smashed them because they're like, we are not going to let this technology take our jobs. And I can give you 20 more examples like that throughout history, right? Like you could probably think of loads yourselves. Even the motor car, you know, so many people were employed to look after horses, right? Think of all the people that were employed in major cities around the world, looking after horses and caring for them and building the carts and everything. And suddenly you don't need horses anymore. Like that wiped out an entire industry. But what did it do? It created the automobile industry, which has been employing massive numbers of people ever since. And the same is true for, you know, like what have light bulbs done for the quality of our lives? You know, we don't look at them now and think that's an evil technology that wiped out loads of jobs. We go, thank goodness we've got light bulbs. So the nature of technology is that it wipes out roles, and it creates roles. And I just don't see AI being any different. Humans have no limit to like, seem to have no limit to the comfort they want to live with and the things that we want in our lives. And those things are still really expensive and we don't, we're nowhere near satisfied. So like, we're going to keep driving forward. We're going to go, oh, now we can do that. Great. I can use AI, I can make movies and I can, you know, I don't know, like there's just loads of stuff that people are going to want to do with AI. Like, I mean, using the internet, how much time do we spend on these damn web forms, just clicking links and buttons and stuff? Is that fun? Do we even want to do that? No. Like we're just wasting hours of our lives every week, like clicking buttons. Like if we have agents, they can do that for us. So we have, I think we're a long way from like an optimal state where work is optional and we can just do the things that humans want to do with their time. And so, but that's the journey that I see us all along, you know. So anyway, that's just my take on AI and employment, both practically, what can you do about it? Be the bridge, embrace it, learn it, jump in. And also just like in a long arc, I'm not saying in the short term, there won't be riots and there won't be lots of people out of work. And I mean, there will be. But when we look back again, like I often think about what time period are we talking about? Right? People often like, well, what will it do to jobs? Next year, like there'll certain categories that will become redundant. But are we thinking about this in a one year period or 100 year period? Like it's worth asking yourself, what timeframe am I talking about? Right? And I always try and come back to the 100 year view at a minimum when talking about technology change. If it's better for humanity in 100 years, then we should probably work on it and make it happen, right? If we didn't do that, we wouldn't have any light bulbs in our house. Still be lighting candles?    Nate:  Next was a question about social media, fragmented attention, and how it drives isolation.    Bob:  Well, it's obviously been very problematic, particularly in the last five or six years. So TikTok gained success in the United States and around the world around five or six years ago with a completely new model for how to put content in front of people. And what powered it? AI. So TikTok is really an AI company. And the first touch point that most of us had with AI was actually through TikTok. It got so good at knowing the network of all possible content and knowing if you watch this, is the next thing we should show you to keep you engaged. And they didn't care if you were friends with someone or not. Your network didn't matter. Think about Facebook. Like for those of you that were using Facebook, maybe say 2010, right? Like 15 years ago. What did social media look like? You had a profile page, you uploaded photos of yourself and photos of your friends, you linked between them. And when you logged into Facebook, you basically just browsing people's profiles and seeing what they got up to at the weekend. That was social media 15 years ago. Now imagine, now think what you do when you're on Instagram and you're swiping, right? Or you go to TikTok and you're swiping. First of all, let's move to videos, which is a lot more compelling, short videos. And most of the content has nothing to do with your friends. So there was a massive evolution in social media that happened five or six years ago, driven by TikTok. And all the other companies had to basically adopt the same approach or they would have fallen too far behind. So it forced Meta to evolve Instagram and Facebook to be more about attention. Like there's always about attention, that's the nature of media. But these like AI powered ways to keep you there, regardless of what they're showing you. And that turned out to be a bit of a nightmare because it unleashed loads of content without any sense of like what's good for the people who are watching it, right? That's not the game they're playing. They're playing attention and then they're not making decisions about what might be good for you or not. So we went through like a real dip, I think, in social media, went through a real dip and we're still kind of in it, right, trying to find ways out of it. So regulation will ultimately be the savior, which it is in any new field of tech. Regulation is necessary to keep tech to have positive impact for the people that it's meant to be serving. And that's taken a long time to successfully put in place for social media, but we are getting there. I mean, Australia just banned social media for everyone under 16. You may have seen that. Happened, I think, earlier this year. France is putting controls around it. The UK is starting to put more controls around it. So, you know, gradually countries are voters are making it a requirement to put regulation around social media use. In terms of just practical things for you all, as you think about your own social media use, I think it's very healthy to think about how long you spend on it and find ways to just make it a little harder to access, right? Like none of us feel good when we spend a lot of time on our screens. None of us feel good when we spend a lot of time on social media. It feels good at the time because it's given us those quick dopamine hits. But then afterwards, we're like, man, I spent an hour, and I just like, I lost an hour down like the Instagram wormhole. And then we don't feel good afterwards. It affects us sleep negatively. And yeah, come to the question that was, posted, can create a sense of isolation or negative feelings of self due to comparison to centrally like models and actors and all these people that are like putting out content, right? Kind of super humans. So I think just finding ways to limit it and asking yourself what's right for you and then just sticking to that. And if that means coming off it for a month or coming off it for a couple of months, then, give that a try. Personally, I don't use it much at all. I'll use it mostly because friends will share like a funny meme or something and you just still want to watch it because it's like it's sent to you by a friend. It's a way of interacting. Like my dad sends me funny stuff from the internet, and I want to watch it because it's a way of connecting with him. But then I set a timer. I like to use this timer. It's like just a little physical device. I know we've all got one on our phones, but I like to have one on my desk. And so if I'm going into something, whether it's like I'm going to do an hour on my inbox, my e-mail inbox, or I'm going to, you know, open up Instagram and just swipe for a bit, I'll just set a timer, you know, and just keep me honest, like, okay, I'm going to give myself 8 minutes. I'm not going to give myself any more time on there. So there's limited it. And then I put all these apps in a folder on the second screen of my phone. So I can't easily access them. I don't even see them because they're on the second screen of my phone in a folder called social. So to access any of the apps, I have to swipe, open the folder, and then open the app. And just moving them to a place where I can't see them has been really helpful. I only put the healthy apps on my front page of my phone.    Nate:  Next was a question about where Bob expects AI to be in 20 years and whether there are new levels to be unlocked.    Bob:  No one knows. Right? Like what happens when you take a large language model from a trillion nodes to like 5 trillion nodes? No one knows. It's, this is where the question comes in around like consciousness, for example. Will it be, will it get to a point where we have to consider this entity conscious? Fiercely debated, not obvious at all. Will it become, it's already smarter than, well, it already knows more than any human on the planet. So in terms of its knowledge access, it knows more. In terms of most capabilities, most, you know, cognitive capabilities, it's already more capable than any single human on the planet. But there are certain aspects of consciousness, well, certain cognitive functions that humans currently are capable of that AI is not currently capable of, but we might expect some of those to be eaten into as these large language models get better. And it might be that these large language models have cognitive capabilities that humans don't have and never could have, right? Like levels of strategic thinking, for example, that we just can't possibly mirror. And that's one of the things that's kind of, you know, a concern to nations and to people is that, you know, we could end up with something on the planet that is a lot smarter than any one of us or even all of us combined. So in general, when something becomes more intelligent, it seeks to dominate everything else. That is a pattern. You can see that throughout all life. Nothing's ever got smarter and not sought to dominate. And so that's concerning, especially because it's trained on everything we've ever said and done. So I don't know why that pattern would be different. So that, you know, that's interesting. And and I think in terms of, so the part of that question, which is whole new areas of capability to be unlocked, really fascinating area to look at is not so much the text now, because everything I've written is already in these models, right? So the only way they can get more information is by the fact that like, loads of social networks are creating more information and so on. It's probably pretty duplicitous at this point. That's why Elon bought Twitter, for example, because he wanted the data in Twitter, and he wants that constant access to that data. But how much smarter can they get when they've already got everything ever written? However, large language models, of course, don't just apply to text. They apply to any information, genetics, photography, film, every form of information can be harnessed by these large language models and are being harnessed. And one area that's super interesting is robotics. So the robot is going to be as nimble and as capable as the training data that goes into it. And there isn't much robotic training data yet. But companies are now collecting robotic training data. So in the coming years, robots are going to get way more capable, thanks to large language models, but only as this data gets collected. So in other words, like language is kind of reaching its limits in terms of new capabilities, but think of all the other sensor types that could feed into large language models and you can start to see all kinds of future capabilities, which is why everyone suddenly got so interested in personal transportation vehicles and personal robotics, which is why like Tesla share price is up for example, right? Because Elon's committed now to kind of moving more into robotics with Tesla as a company. And there are going to be loads of amazing robotics companies that come out over the next like 10 or 20 years.    Nate:  And that brings us to the end of this episode with Bob Goodson. Like I mentioned in the intro, there were so many great nuggets from Bob. Such great insight on managing our careers, building companies, and the evolving impact of AI and social media. In summary, try to be at the intersection of new power and real problems. Seek to inspire rather than just transact, and be thoughtful about how to use social media and AI. All simple ideas, please, take them seriously.   

(0:00) Intro(2:04) About the podcast sponsor: The American College of Governance Counsel(2:50) Start of interview(3:51) Betsy's origin story(9:14) The HealthSouth Board Scandal(16:35) Her preference when picking what boards to serve on(17:30) Insights VC-backed Boards and role and profile of the independent director in this context(21:20) Insights on PE-backed Boards and role and profile of the independent director in this context(25:35) Navigating International Board Dynamics. Her experience on boards of Volvo and Schneider Electric.(30:57) The Rise of Private Markets. Example of Atlas Air (Apollo backed). IPOs in 2026.(35:07) AI's Impact on the Market and other macro trends(38:10) Founder-Led Companies and Governance (including dual-class share structures).(42:25) The Impact of Geopolitics on Governance(45:11) The Impact of Politicization on Governance. Examples of Budweiser, Google, Netflix, and the mission-driven approach by Coinbase.(50:09)  Adapting to Accelerating Change as Directors. The problem with incrementalist "custodian" directors in times of disruption. "It's really about being change-adaptive and comfortable making decisions with incomplete information. You look at someone like Musk, he's making decisions when he has 60% of the information. Most boards want 95% before they'll move. That's the fundamental challenge."(55:58) Books that have greatly influenced her life ("the best business book"):Good to Great, by Jim Collins (2001)(56:16) Her mentors. Craig Billings (CEO Wynn Resorts), Michael Steen (CEO Atlas Air Cargo), Jean-Pascal Tricoire (Chairman, Schneider), her mom ("her biggest mentor").(57:06) On the current state of shareholder activism(57:58) Quotes that she thinks of often or lives her life by "Perfect is the enemy of good enough." (58:19) An unusual habit or an absurd thing that she loves: she's a compulsive note-taker (plus, her recommended policy for directors)(1:00:12) The living person she most admires: Elon MuskBetsy Atkins has served on more than 38 public company boards and through 17 IPOs, in addition to scores of PE and VC-backed company boards. She brings a rare perspective shaped by crisis situations, international board service, and rapid technological change. She currently serves on the boards of Wynn Las Vegas, GoPuff, and the Google Cloud Advisory Board. You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Topics we pulled from the 401k rags: We will be breaking down Radish and how it's reshaping tax advantaged employee incentive plans. Digging into Basic Capital's $25M raise and what it signals for VC backed recordkeeper disruption. Unpacking leadership changes at Ubiquity with James Hobson stepping in as CEO. We'll also demystify the NAPA Black Book, what it is and why advisors care. Taking a look at Otto, the new AI assistant debuting at RPAG to support retirement plan advisors. A fast paced episode packed with insights, innovation and industry intel.

Colin and Brent discuss buying Prolifiq, a bankrupt enterprise software company.Want to get my best breakdowns for free? Grab them here: https://www.colinkeeley.com/newsletterHire top 1% remote talent in Latin America at HireinSouth.comEnroll in Colin's Acquisition Course & Community at IndiePE.com.Reach out to Colin Keeley and Brent Sanders on Twitter with any feedback. Sell your SaaS at VerneHQ.com 

"If we don't get our AI ducks in a row at some point and we miss that boat to shore up our industries right now, it's not really going to matter what regulations we have on the table. Because we won't have control." The federal government has released the results of its public consultation on AI, including over 30 submissions from Minister Solomon's AI task force. Former ISED senior policy advisor Jaxson Khan joins to discuss how the consultations might inform Canada's AI future, and why the task force was "remarkably consistent" in its diagnosis, but not its prescriptions. -- The BetaKit podcast is presented by Fasken Emerging Tech, supporting trailblazing startups, venture capital funds and acquirers of high-growth tech companies for over 30 years. If you're curious about the health of Canada's tech M&A scene, you've got to check out Exit InSights. It's a first-of-its-kind report from Fasken's Emerging Technology & Venture Capital Group that analyses private M&A activity among VC-backed and high-growth tech companies. You'll learn how buyers and sellers are maximizing value, minimizing risk, and navigating one of the most vibrant tech ecosystems out there. Download your free copy of the report. -- Related links: Ottawa releases findings from AI task force and public consultation We read every submission from Canada's AI task force: here's what they said The real debates Canada's AI strategy must navigate The year Canada realized it needs sovereign tech

In this episode of The Venture Capital Podcast (VC.fm), hosts Peter Harris and Jon Bradshaw speak with Roberto Bonanzinga, Founder of InReach Ventures and former Founding Partner at Balderton Capital, about how artificial intelligence is transforming venture capital from the inside out.Roberto explains how InReach Ventures built a proprietary AI and machine learning platform to discover early-stage founders across Europe — often before they raise capital, build pitch decks, or even seek investors. Drawing on decades of experience backing companies like Revolut, Depop, Vivino, and Contentful, he shares why discovery is the biggest bottleneck in early-stage VC and how AI changes that equation.The conversation explores:AI-first venture capital modelsInvesting in founders before ideasEarly-stage startup discovery in EuropeGP-only venture firms and fund designWhy pitch decks don't predict outcomesThe future of junior roles, analysts, and associates in VCHow AI reshapes career paths and investing workflowsThis episode is essential listening for founders, venture capitalists, LPs, and operators interested in AI, early-stage investing, and the future of venture capital.Follow the PodcastInstagram: https://www.instagram.com/venturecapitalfm/Twitter: https://twitter.com/vcpodcastfmLinkedIn: https://www.linkedin.com/company/venturecapitalfm/Spotify: https://open.spotify.com/show/7BQimY8NJ6cr617lqtRr7N?si=ftylo2qHQiCgmT9dfloD_g&nd=1&dlsi=7b868f1b72094351Apple: https://podcasts.apple.com/us/podcast/venture-capital/id1575351789Website: https://www.venturecapital.fm/Follow Jon BradshawLinkedIn: https://www.linkedin.com/in/mrbradshaw/Instagram: https://www.instagram.com/mrjonbradshaw/Twitter: https://twitter.com/mrjonbradshawFollow Peter HarrisLinkedIn: https://www.linkedin.com/in/peterharris1Twitter: https://twitter.com/thevcstudentInstagram: https://instagram.com/shodanpeteYoutube: https://www.youtube.com/@peterharris2812

The latest edition of The Leadership in Insurance Podcast, features Alex Bond in conversation with Tony Lew, co-founder of Insurtech New York, in an insightful conversation about the future of insurance technology and the critical role of human engagement in an AI-driven industry.Key highlights from this episode:

Pháp luật là một trong những lĩnh vực hợp tác lâu năm nhất giữa Pháp và Việt Nam. Hợp tác trong lĩnh vực này bắt đầu từ những năm 1990 và dựa trên sự tương đồng giữa hệ thống pháp luật của hai nước, cũng như sự quan tâm của Việt Nam đến kinh nghiệm của Pháp. Mục tiêu chủ yếu của quan hệ đối tác này là hỗ trợ các cải cách hướng tới xây dựng một nhà nước pháp quyền ở Việt Nam. Sự hợp tác này được tổ chức thông qua các hội thảo chia sẻ chuyên môn và các hội nghị với các bộ, ngành của Việt Nam, các chuyên gia pháp luật và các học giả. Để đánh dấu 30 năm hợp tác trong lĩnh vực pháp luật, trong tháng 11 vừa qua, Pháp và Việt Nam đã tổ chức Tuần lễ Pháp luật và Tư pháp. Nhân dịp này, một phái đoàn của bộ Tư Pháp của Pháp đã đến thăm Việt Nam, dẫn đầu là bà Valérie Delnaud, tổng vụ trưởng Vụ Các vấn đề dân sự và ấn tín. Theo thông báo của đại sứ quán Pháp, phái đoàn Pháp đã trao đổi với lãnh đạo Vụ Hợp tác quốc tế Tòa án Nhân dân Tối cao “về những vấn đề pháp lý cùng quan tâm”, trao đổi về tương trợ dân sự quốc tế với Vụ Pháp luật quốc tế thuộc bộ Tư pháp Việt Nam, đồng thời ký kết Chương trình hợp tác giai đoạn 2026–2027 giữa bộ Tư Pháp của hai nước. Tham gia phái đoàn Pháp đến thăm Hà Nội và Thành phố Hồ Chí Minh còn có nhiều chuyên gia pháp lý (công chứng viên, luật sư, thẩm phán và chấp hành viên), trong đó có luật sư Thị Mỹ Hạnh Ngô Folliot, chủ tịch Hội Hợp tác Pháp lý Châu Âu-Việt Nam ( ACJEV ) và cũng là chủ tịch Ủy ban Việt Nam của Luật sư đoàn Paris, một ủy ban được thành lập vào năm 2013.  Trả lời RFI Việt ngữ tại Paris ngày 12/12/2025, luật sư Thị Mỹ Hạnh Ngô Folliot cho biết: “Tôi tham gia phái đoàn Pháp từ ngày 24 đến 21/11 tham dự Tuần lễ Pháp luật và Tư pháp Pháp-Việt. Đây là lần đầu tiên sự kiện được tổ chức và chúng tôi đã tham dự nhiều hội thảo, gặp gỡ Tòa án Nhân dân Tối cao và bộ trưởng Tư Pháp, cũng như dự lễ ký kết chương trình hành động hai năm 2026-2027 với sự hiện diện của thứ trưởng bộ Tư Pháp.  Phái đoàn Pháp do bộ Tư Pháp dẫn đầu, bao gồm bà Valérie Delnaud, tổng vụ trưởng Vụ Các vấn đề dân sự và ấn tín và một số quan chức khác của bộ Tư Pháp, cùng với hai luật sư từ Hội đồng Luật sư Quốc gia (mà tôi là một trong những thành viên), hai công chứng viên từ Hội đồng Công chứng cấp cao, các chấp hành viên và đại diện từ Quỹ Luật Châu lục.  Hợp tác pháp lý Pháp-Việt là lâu đời nhất, bắt đầu từ những năm 1990, khi tổng thống François Mitterrand thăm Việt Nam và Đại sứ Blanche Maison đang tại nhiệm. Vào thời điểm đó, Nhà Pháp luật Việt-Pháp được thành lập. Trung tâm này đã đóng cửa vào năm 2012 và năm 2013, Luật sư đoàn Paris đã lập cơ sở quốc tế đầu tiên tại Thành phố Hồ Chí Minh, thu hút một lượng lớn các chuyên gia pháp lý từ các trường đại học cũng như các luật sư Pháp, Việt Nam và châu Âu. Kể từ đó, theo yêu cầu của các đối  tác Việt Nam, chúng tôi đã tham gia vào sự hợp tác này. Đầu tiên, chúng tôi thành lập một hiệp hội gọi là Hội Hợp tác Pháp lý Châu Âu-Việt Nam, hầu như năm nào cũng đến Việt Nam để đóng góp vào sự hợp tác này theo cách riêng và ở cấp độ của mình, thông qua các hội thảo về nhiều chủ đề khác nhau, theo yêu cầu của các đối tác Việt Nam.  Nhóm của chúng tôi luôn sẵn sàng và trong nhóm, chúng tôi bổ sung cho nhau rất tốt, và có một sự liên tục nhất định trong sự hợp tác này, một sự hợp tác cũng gắn liền với cộng đồng Pháp ngữ. Chúng tôi hoàn toàn muốn các hội thảo của mình được tổ chức bằng tiếng Pháp và điều này là theo yêu cầu của các học giả và hiệp hội luật sư Việt Nam.”  Trong Tuần lễ Pháp - Việt Nam về Pháp luật và Tư pháp, một cuộc gặp gỡ đã diễn ra tại trụ sở Liên đoàn Luật sư Việt Nam giữa các luật sư của phái đoàn Pháp với Chủ tịch Liên đoàn Luật sư Việt Nam, các phó chủ tịch và các thành viên Ban Quan hệ Quốc tế của Liên đoàn. Cuộc gặp này là trong khuôn khổ các trao đổi giữa Liên đoàn Luật sư Việt Nam và Hội đồng Quốc gia các Luật sư đoàn Pháp. Tuần lễ Pháp luật và Tư pháp được tổ chức trong tháng 11 vừa qua đã là dịp thúc đẩy và định hình các trao đổi mới trong lĩnh vực đại học, đặc biệt xoay quanh đổi mới sáng tạo và chuyển đổi số, những chủ đề then chốt trong tiến trình hiện đại hóa hệ thống pháp luật của hai nước. Theo bộ Tư Pháp Việt Nam, trong những năm gần đây, phía Pháp đã tiếp tục hỗ trợ bộ này trong quá trình xây dựng và hoàn thiện thể chế, trong đó có các đạo luật quan trọng như Bộ luật Dân sự 2015, Luật Hôn nhân và Gia đình, Nghị định Hòa giải thương mại…, đồng thời tăng cường hợp tác giữa các nghề luật của hai nước như công chứng viên, thừa phát lại, đấu giá viên… Ngoài các phiên họp chính thức, đây đã là dịp để các chuyên gia Việt Nam và Pháp tham gia ba buổi hội thảo về những thách thức pháp lý phát sinh từ quá trình đổi mới sáng tạo và chuyển đổi số, theo lời luật sư Thị Mỹ Hạnh Ngô Folliot: “Pháp luôn được tham vấn mỗi khi Việt Nam thực hiện một dự án cải cách. Pháp được xem là mô hình cho Việt Nam. Năm nay, bộ Tư Pháp của Pháp, trong khuôn khổ Tuần lễ Pháp luật, đã nêu bật những thách thức ở cấp độ châu Âu do việc quản lý trí tuệ nhân tạo và bảo vệ dữ liệu cá nhân đặt ra. Mục tiêu là dung hòa những đổi mới công nghệ với việc bảo vệ các quyền cơ bản và bảo vệ tính độc lập của tư pháp, vốn là nguyên tắc thiết yếu của nhà nước pháp quyền. Do bộ Tư Pháp của Pháp và bộ Tư Pháp của Việt Nam phối hợp tổ chức, với sự hỗ trợ của Đại sứ quán Pháp tại Hà Nội, chương trình của Tuần lễ Pháp luật rất dày đặc, bao gồm chuyến thăm và cuộc gặp với một trong các phó chánh án Tòa án Nhân dân Tối cao. Tiếp theo, ngày hôm sau, chúng tôi có một hội thảo kéo dài cả ngày với Đại học Luật, Đại học Quốc gia Hà Nội. Hội thảo này tập trung vào đổi mới sáng tạo và chuyển đổi số, với các bài thuyết trình của nhiều học giả đến từ Đại học Luật Hà Nội và Đại học Huế, cũng như các giáo sư đến từ Pháp. Dĩ nhiên đã có bài thuyết trình của tổng vụ trưởng Vụ Các vấn đề dân sự và ấn tín của Pháp, cũng như của các công chứng viên và chấp hành viên.  Chủ đề chính là trí tuệ nhân tạo, chuyển đổi số, và làm thế nào để kết hợp những đổi mới công nghệ này với việc bảo vệ các quyền cơ bản, duy trì tính độc lập của tư pháp, và làm thế nào để dung hòa tất cả những điều này. Việc xây dựng một môi trường tin cậy là rất cần thiết để đảm bảo AI hoạt động hiệu quả. Chúng tôi đang làm việc cho tương lai. AI không phải là mới, nhưng đúng là chúng ta vẫn chưa hoàn toàn kiểm soát được công nghệ. Chúng ta cần tập hợp các nguồn lực. Bộ Tư Pháp của  Pháp giới thiệu các mô hình châu Âu và trao đổi ý tưởng với các đối tác Việt Nam, những người cũng đã tiến rất xa trong lĩnh vực này. Vì vậy, tôi nghĩ tương lai hoàn toàn khả thi đối với việc sử dụng  trí tuệ nhân tạo trong lĩnh vực pháp luật và tư pháp.” Hội thảo chuyên đề đầu tiên, được tổ chức vào ngày 25/11/2025 tại Trường Đại học Luật – Đại học Quốc gia Hà Nội, là về chủ đề “Thể chế pháp lý và đổi mới sáng tạo”, tập trung vào việc điều chỉnh pháp luật tại Pháp, Việt Nam và trên thế giới trong bối cảnh phát triển xã hội, khoa học và công nghệ. Hội thảo thứ hai, với chủ đề « Thể chế pháp lý và Trí tuệ Nhân tạo », được tổ chức vào ngày 27/11 tại Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh, đặt ra những tranh luận thiết yếu về các vấn đề pháp lý xoay quanh trí tuệ nhân tạo và các quy định liên quan. Trong khuôn khổ quan hệ đối tác giữa Trường Thẩm phán Quốc gia (Pháp) và Học viện Tư pháp (Việt Nam), một hội thảo kết hợp trực tuyến và trực tiếp về « Sử dụng trí tuệ nhân tạo của thẩm phán » đã được tổ chức để phân tích sự đóng góp của AI vào việc quản lý tư pháp tại Pháp và Việt Nam. Theo luật sư Thị Mỹ Hạnh Ngô Folliot, trong khi đó Hội Hợp tác Hợp tác Pháp lý Châu Âu-Việt Nam vẫn tiếp tục đáp ứng các nhu cầu đào tạo của phía Việt Nam: “Nhu cầu đào tạo ngày càng tăng, đặc biệt là kể từ khi Việt Nam khởi xướng việc thành lập hai trung tâm tài chính quốc tế trong năm nay tại Đà Nẵng và Thành phố Hồ Chí Minh, và chúng tôi có yêu cầu cấp thiết là quay lại hàng năm để cung cấp các khóa đào tạo bằng tiếng Pháp cho các học giả và luật sư nhằm tiếp tục tăng cường hợp tác và cùng nhau tiến lên. Hiệp hội của tôi và cá nhân tôi đã tham gia vào hợp tác pháp lý Pháp-Việt này trong suốt 25 năm qua. Tôi đã mang theo cả một đội ngũ, hầu như năm nào cũng sẵn sàng đến Việt Nam theo yêu cầu của các đối tác Việt Nam. Đó là một đội ngũ bổ sung, mang đến cách tiếp cận đa ngành, và mỗi thành viên đều đóng góp đáng kể vào hợp tác pháp lý Pháp-Việt.  Hầu hết các tổ chức và trường đại học đều do những người nói tiếng Pháp, từng học ở Pháp điều hành. Vì vậy, việc đào tạo tiếng Pháp không phải là vấn đề. Họ hoàn toàn có khả năng, và ngay cả khi đôi khi một số người trẻ không được đào tạo tiếng Pháp cũng nói tiếng Anh và giao tiếp rất tốt với chúng tôi. Chúng tôi đã bắt đầu soạn thảo dự án với các trường đại học và hiệp hội luật sư. Tại hội nghị ngày 25/11/2025, tôi đã gặp lại các sinh viên đến từ các trường đại học Toulouse-Capitole, Lyon 3 và Bordeaux. Theo yêu cầu của các giáo sư, tôi đã hướng dẫn các em trong một ngày học vào tháng Tư năm ngoái trước khi các em sang Việt Nam. Hiện các sinh viên này đang theo học năm thứ hai chương trình Thạc sĩ Hợp tác Kinh tế và Luật Thương mại Quốc tế tại Hà Nội. Ngoài ra, năm 2026 sẽ diễn ra Hội nghị thượng đỉnh Cộng đồng Pháp ngữ lần thứ 20 tại Siem Reap, Cam Bốt , ngay sát bên. Chúng tôi sẽ cố gắng có mặt ở đó, vì một trong những mục tiêu của hiệp hội chúng tôi là Cộng đồng Pháp ngữ. Chúng tôi sẽ cố gắng kết nối hai bên và phát triển hơn nữa tiếng Pháp tại Việt Nam.” Theo báo chí Việt Nam, bộ Tư Pháp Pháp, Quỹ Luật lục địa cũng như Trường Đại học Paris-Assas đang phối hợp với bộ Tư Pháp Việt Nam và Trường Đại học Luật Hà Nội để thúc đẩy việc thành lập Trung tâm Pháp luật Pháp tại đại học này. Phía Việt Nam cho biết Trường Đại học Luật Hà Nội đã chuẩn bị sẵn sàng cơ sở vật chất cho Trung tâm và mong muốn phía Pháp hỗ trợ chuyên gia và giảng viên tới giảng dạy tại Trung tâm Pháp luật Pháp. Tuy nhiên phía Pháp hiện chưa đáp ứng các yêu cầu này.

Tựa Đề: Phi Nghĩa Và Công Bình; Kinh Thánh: Châm-ngôn 10:2-3; Tác Giả: VPNS; Loạt Bài: Sống Với Thánh Kinh, Bài Học Kinh Thánh Hằng Ngày, Tĩnh Nguyện Hằng Ngày, Sống Với Thánh Kinh

Tựa Đề: Phi Nghĩa Và Công Bình; Kinh Thánh: Châm-ngôn 10:2-3; Tác Giả: VPNS; Loạt Bài: Sống Với Thánh Kinh, Bài Học Kinh Thánh Hằng Ngày, Tĩnh Nguyện Hằng Ngày, Sống Với Thánh Kinh

In this episode of the Planet MicroCap Podcast, I'm joined by Chris Marlett, Co-Founder and CEO of MDB Capital Holdings (NASDAQ: MDBH), to unpack the firm's differentiated “public venture” model and why he believes the traditional venture capital and private equity ecosystem is breaking down. Chris explains how MDB operates as a hands-on merchant bank—building and taking early-stage, big-idea companies public as an alternative to VC—while addressing the shrinking U.S. microcap universe, the misperceptions around the cost of being public, and the opportunity created by a severe shortage of high-quality public companies. We also discuss MDB's focus on category leaders with billion-dollar potential, its equity-aligned business model, and why public markets can offer founders a more attractive path to scale, liquidity, and long-term value creation. We mention a number of companies and sectors during this conversation, and I'm not a shareholder in any of them. Chapters 00:00 Introduction to MDB Capital Holdings 01:40 Chris Marlett's Journey in Microcap Financing 03:19 Founding MDB Capital Holdings 08:22 Understanding Public Venture vs. Big Ideas 10:55 The Cost of Going Public 15:31 The Shift in Private Equity and Venture Capital 20:26 Why Now is the Time for MDB Capital 26:42 Identifying the Sweet Spot for IPOs 27:18 The Importance of Unique IP in Deep Tech 28:34 Navigating the Public Venture Ecosystem 29:51 Differentiating in a Competitive Market 30:50 The Challenges of Investment Banking 33:16 The Future of Microcap Investment 36:28 Sourcing Profitable Companies 39:19 Expanding Focus Beyond Deep Tech 41:09 Engaging with Institutional Investors 43:24 The Need for Follow-On Financing 46:02 Upcoming Opportunities in the Pipeline 50:11 Determining Ideal IPO Sizes For more information about MDB Capital Holdings, please visit: https://www.mdb.com/ Planet Microcap hosts the highest quality in-person microcap events in North America. The mission is to bring the best microcap investors, companies, and allocators together to gather, connect, and grow.; visit https://planetmicrocap.com/ to learn more about our Las Vegas and Toronto events. The purpose of this conversation is for informational and educational purposes only and should not be construed as a recommendation to purchase or sell any security. Planet MicroCap Holdings LLC and MicroCapClub LLC are not registered investment advisors. Planet MicroCap Holdings LLC, MicroCapClub LLC, its partners, contractors, members, subscribers, guests, and affiliates may or may not hold positions in one or more of the securities mentioned on this program and may trade in such securities at any time. Do your own due diligence and seek counsel from a registered investment advisor before trading in any security.

"I didn't use my own software this week because the OpenAI agents were better. And that's me retiring my own software." — Keith TeareSomething broke this week. Both Anthropic and OpenAI launched multi-agent systems—"agent swarms"—that don't just assist with tasks but replace custom-built software entirely. The market noticed: Adobe, Salesforce, Workday, and other legacy SaaS companies saw their stocks collapse in what some are calling a trillion-dollar selloff. Keith Teare joins Andrew Keen on Super Bowl weekend to unpack what may be the most consequential week in AI since ChatGPT launched.The conversation ranges from the Anthropic-OpenAI advertising spat (Dario Amodei's Super Bowl ad vs. Sam Altman's "online tantrum") to the deeper structural shifts: Microsoft and Amazon becoming utilities, Google betting $185 billion on an AI-first pivot, and Elon Musk merging SpaceX with xAI to put data centers in space. Along the way, Teare and Keen debate whether the AI race is a myth or a wacky race, whether venture capital is in crisis, and what happens to human labor when agents do the work.About the GuestKeith Teare is a British-American entrepreneur, investor, and technology analyst. He co-founded RealNames Corporation, a pioneering internet company, and later served as Executive Chairman of TechCrunch. He is the founder of That Was The Week and SignalRank, and publishes a widely-read weekly newsletter on technology, venture capital, and the business of innovation. He brings four decades of experience in Silicon Valley to his analysis of the AI revolution.Chapters:00:00 Super Bowl and the Anthropic ad The spat between Dario Amodei and Sam Altman01:09 "Fundamentally dishonest" Keith's take on the ad war and who's really Dick Dastardly05:47 Anthropic's breakout week Claude Opus 4.6 and the agent swarm launch06:48 OpenAI Codex Multiple agents collaborating on tasks in 10-15 minutes07:42 "It replaces software" Keith retires his own custom-built tools08:16 The trillion-dollar selloff Adobe, Salesforce, Workday, PayPal collapse11:02 Infrastructure vs. innovation Microsoft and Amazon become "utilities"11:45 Google's $185 billion bet Pivoting from hybrid to AI-first13:15 The SpaceX/xAI merger Musk's plan for space-based data centers15:18 The AI wacky race Kimi, OpenAI, Anthropic leapfrog Google17:03 Does AI make us smarter? Leverage tools, not intelligence18:53 AI growing up, CEOs not The adolescence of the industry21:06 US job openings hit five-year low The coming labor crisis22:44 The VC crisis Five funds sucking the air out of the room25:04 Palantir and Anduril The winners in defense AI25:42 Facebook as laggard Huge revenues, no AI momentum26:41 The Washington Post crisis "Boogeyman journalism" and partisan media29:23 Ads in AI Paid links vs. enshittification31:26 Spotify's innovation Physical book + audiobook bundle32:32 Startup of the week Cursor for CRM, $20M from Sequoia33:45 Om Malik on the end of software distribution From CDs to app stores to self-made35:41 Super Bowl prediction Seattle vs. New England36:02 Closing "That really was the week in tech"Links & ReferencesMentioned in this episode:That Was The Week newsletter by Keith TeareAnthropic's Super Bowl ad and ad-free pledge (CNBC)Sam Altman's response to Anthropic ads (TechCrunch)SpaceX acquires xAI in $1.25 trillion merger (CNBC)The Washington Post layoffs and crisis (Poynter)Om Malik on the evolution of software distributionOpenAI Codex app launch (OpenAI)About Keen On America Nobody asks more impertinent questions than the Anglo-American writer, filmmaker and SiliconValley entrepreneur Andrew Keen. In Keen On America , Andrew brings his sharp Transatlanticwit to the forces reshaping the United States — hosting daily interviews with leading thinkersand writers about American history, politics, technology, culture, and business. With nearly2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the mostprolific intellectual interview show in the history of podcasting.Website | Substack | YouTube

Today on the Newcomer Podcast, we're joined by Yoni Rechtman, a partner at Slow Ventures and one of the most outspoken voices in venture capital right now. Rechtman doesn't hold back on Trump, the tech industry's political reckoning, or where the real opportunities in AI actually are.We talk about why Slow Ventures deliberately avoided foundation models despite the massive returns, where the second-order effects of AI create better investment opportunities, and how the firm is using "growth by buyout" to build billion-dollar companies in unsexy industries like parking lots.We also discuss Silicon Valley's response to the Trump administration, the Alex Pretti shooting, why Rechtman believes most venture capitalists are "amoral financiers" chasing momentum rather than principles, and what happens when the institutions that underpin entrepreneurial capitalism start to erode under authoritarian pressure.Rechtman shares his contrarian investment philosophy of finding "weird takes on important stories," why he thinks Git is structurally broken in the age of AI-generated code, and how AI is inverting every system built on scarce production and abundant attention.This conversation goes beyond typical VC talking points, addressing the uncomfortable questions about what the industry stands for when democracy itself is at stake.

Today's returning guests are Dan Rasmussen, founder of Verdad Advisers, and D.A. Wallach, a venture capital investor for Time BioVentures. In today's episode, we unpack the recent biotech surge through the lens of Dan's recently published biotech report. We also explore China's growing biotech market, shifting IPO and VC trends, and how valuation tools like CAPE fit into today's regime. Finally, we also discuss technology's effect on productivity and corporate profits in the US, Japan's economic anomaly, home country bias, and more. (0:00) Starts (1:20) Dan's research on the biotech sector (19:10) D.A. on biotech in China (27:01) IPO landscape (31:01) Biotech VC update from D.A. (32:16) Are US stocks overvalued? (51:53) Dan's view of Japanese stocks (57:40) Global equity markets and home country bias (1:03:34) Book recommendations (1:11:55) Wrap-up and future plans ----- Follow Meb on X, LinkedIn and YouTube For detailed show notes, click here To learn more about our funds and follow us, subscribe to our mailing list or visit us at cambriainvestments.com ----- ⁠ ----- Sponsor: Visit ⁠⁠Alpha Architect's 351 Education Center⁠⁠ for use cases, tools, FAQs, upcoming launches, and more. Follow The Idea Farm: X | LinkedIn | Instagram | TikTok ----- Interested in sponsoring the show? Email us at Feedback@TheMebFaberShow.com ----- Past guests include Ed Thorp, Richard Thaler, Jeremy Grantham, Joel Greenblatt, Campbell Harvey, Ivy Zelman, Kathryn Kaminski, Jason Calacanis, Whitney Baker, Aswath Damodaran, Howard Marks, Tom Barton, and many more.  ----- Meb's invested in some awesome startups that have passed along discounts to our listeners. Check them out here!  ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Learn more about your ad choices. Visit megaphone.fm/adchoices

Luigi Mallardo joined Woffu as an early angel investor and later became CRO, helping founder Miguel Fresneda shape a practical SaaS growth path. Based in Barcelona, Spain, Woffu has built a modern cloud-based time and attendance platform for SMEs and mid-market companies, replacing legacy tools and spreadsheets with a focused, mobile-first workforce solution. Starting from just €2K MRR, Luigi led growth first through inbound, then outbound, and partner channels, increasing average revenue per account five to seven times. By 2025, the company reached nearly €500K in monthly recurring revenue, or about €6M ARR, with more than 50 employees and profitable, efficient growth across Spain. Woffu sold to Visma in 2022 following a multi-year, proactive exit strategy, with a total reported value of €20–30M including the 3-year earnout. Luigi shares how early focus, diversified revenue, and optionality shaped every decision. His biggest lesson: clarity about your endgame determines your strategy early on, including your growth model and many other important decisions. Key Takeaways Strategic Focus - Choosing one clear use case and market unlocked faster growth than chasing horizontal HR suite ambitions across Europe. Optionality First - Designing for multiple future paths gave founders leverage rather than forcing a sale based solely on valuation. Revenue - Layers Inbound, outbound, and partners created resilience while steadily raising average contract value and predictability. Exit Readiness - Warming buyers years early turned selling into a strategic process rather than a rushed financial event. Customer Success - Investing deeply in retention created low churn and made Woffu more attractive to long-term acquirers. Builder Mindset - Great CROs zoom in and out, connecting go-to-market execution with strategy, culture, and long-term outcomes. Quote from Luigi Mallardo, Chief Revenue Officer at Woffu "We chose our focus of ICP and focus of use case, to reduce the space of market optionality to get more business optionality. You see what I mean?  "The advice I give most often is to focus, which doesn't mean to close off the option of having more verticals forever, but you need 75% or 80 % of your pipeline on where you are already monetizing and building traction. And then you leave that 20 % of pipeline to do experimentations in a new vertical. "It's one of the historical challenges, especially with young founders: the feeling of losing opportunities if they decide and don't do everything. But you are losing opportunities if you go too wide and you don't focus. Just be patient, postpone, and focus on what works." Links Luigi Mallardo on LinkedIn Woffu on LinkedIn Woffu website Podcast Sponsor – Lighter Capital This podcast is sponsored by Lighter Capital. In the last 15 years, Lighter Capital has helped over 600 software and SaaS founders secure simple, non-dilutive financing to grow a little faster—without giving up any precious equity or board seats to investors.  Simple debt funding from Lighter Capital can range from $50K to $10 million, with straightforward terms, no personal guarantees or covenants, and up to a 4-year payback period. Go to LighterCapital.com to apply and get a quick pre-qualification. Then talk with their experienced team to create a practical funding plan to achieve your goals.  The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

  Check out the Video of this Episode Here! EPISODE 375 Let 2026 be a new era! The High Priest returns to bring Khonshu's word and avatar to podcasting again - this time hopefully on a regular basis! Rey kicks off resumption of comic book reviews, nearing the end of the amazing Jed MacKay and Domenico Carbone run Fist of Khonshu Vol. 1 #14 "The Haunting of the Wrecker - Part 3" Release Date November 5th 2025 Cover Date January 2026   Writer(s) Jed MacKay Penciler(s) Domenico Carbone Inker(s) Domenico Carbone Colorist(s) Rachelle Rosenberg Letterer(s) VC's Cory Petit Editor(s) Devin Lewis Shine those idols, and dust off the cape....IT'S TIME TO GET YOUR KHONSHU ON! SHOW NOTES:  Fist of Khonshu Vol. 1 #14 WHERE TO HEAR US: Podcast Page Podchaser Apple Podcast Google Play Music Spotify Overcast SoundCloud Stitcher Tunein Podbean Into the Knight RSS Feed YouTube DROP US A LINE: Website: intotheknight.libsyn.com Email: feedback@itkmoonknight.com FB Page: Into the Knight- A Moon Knight Podcast Page FB Group: Into the Knight- A Moon Knight Fan Base Bluesky: Into the Knight - Bluesky X: @ITKmoonknight Instagram: ITK Moon Knight Discord ITK Server: ITK Server   CHECK OUT THESE OTHER SHOWS I CO-HOST! Sons of the Dragon - An Immortal Iron Fist Podcast DCAU - The DC Animated Universe Podcast  Capes & Lunatics Sidekicks To Know Her Is To Fear Her: The Spider-Woman Podcast Predator & pREY - a Yautja Podcast Rey Plays Games!   OFFICIAL ITK MERCHANDISE @ DASHERY - BUY HERE! Thinking of starting your own podcast? Check out our special offer from Libsyn!   CREDITS: ITK Logo Graphic Design by The High Priests of Khonshu ITK Graphic Design produced and assisted by Randolph Benoit ITK Opening Sequence for video by Chris Kelly Music Written, Performed and generously provided by Deleter Co-Producers Wayne Hunt Josh Johnson Anthony Sytko Matthew Howell Jonathan Sapsed Dan Newland Executive Producers Justin Osgood Derek O'Neill Daniel Doing Mario Di Giacomo Odin Odinsword Produced by Reynaldo Gesmundo The music for this episode contains excerpts from various songs and music copyrighted by Deleter and Brian Warshaw. The music agreed for use on Into the Knight - A Moon Knight Podcast is licensed under an Attribution License;

En este episodio ponemos el mapa de en qué invertir en 2026: qué significa que bajen las tasas, cómo cambia el juego entre CETES, ETFs, dólar y bienes raíces, y por qué aunque la referencia baje, las hipotecas no se vuelven “baratas” por arte de magia. También hablamos de capital privado/VC, riesgos reales y cómo pensar un portafolio sin improvisar.Educativo, no asesoría financiera.

From time to time, we'll re-air a previous episode of the show that our newer audience may have missed. During this episode, Santosh is joined by Renan Devillieres, Founder and CEO at OSS Ventures, a venture capital firm and startup studio that specializes in creating and investing in industrial tech companies to enhance operational productivity, product quality, worker conditions, and address climate challenges. In this conversation, Renan shares his journey from economist to industrial sector expert, emphasizing the importance of automation, reshoring, and sustainability in modern manufacturing. He discusses OSS Ventures' unique venture builder model, which supports startups in addressing industry challenges. The conversation also highlights the need for resilience and adaptability in founders, provides valuable insights into the evolving landscape of supply chains, explores the critical role of technology and sustainability, and so much more. Highlights from their conversation include:Renan's Background and Journey to OSS Centures (0:41)OSS Ventures Overview (1:11)Venture Builder Model (4:08)Traits of Successful Founders (6:29)Key Areas for 2025 (8:27)Reshoring Manufacturing Operations (12:02)Sustainability in Supply Chains (17:59)Manufacturing Technology Implementation (21:00)Advice for Founders (22:23)The Electric Vehicle Strategy (25:31)Public Sector Funding in France (27:47)Advice for Securing Non-Dilutive Funding (28:17)Rapid Fire Segment to Close (30:20)Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups.Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish⚠️ SPOILER ALERT: This episode contains spoilers for Industry Season 4, up through Episode 3.This week on Techish, Michael and Abadasi break down Industry season four so far. They talk messy character dynamics, shorting stocks, VC returns, redemption arcs are even possible, and what it really costs to “win” in work, money, and life.Chapters00:22 Industry Season 4 Recap07:36 Hedge Funds vs. Venture Capital14:05 Irredeemable Characters21:39 Are All High-Achievers Psychologically Messed Up? [Patreon-Only]This episode is sponsored by DeleteMe. Get 20% of DeleteMe at joindeleteme.com/techish with code TECHISH.Extra Reading & ResourcesWatch list: Industry,  Pillion, No Other Choice [IMDb]Alex Hormozi and Tony Robbins interview: It took me 50+ years to realize what I'll tell you in 69 minutes” [YouTube]Support the show————————————————————Join our Patreon for extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ https://www.instagram.com/hustlecrewlive/https://www.instagram.com/pocintech/Email us at techishpod@gmail.com

Want to grow a billion-dollar business? You need better systems, not just better ideas.Adam James has had a front-row view as Energy Impact Partners has scaled from a $500M fund into a multi-billion-dollar force as a clean energy VC. But, as he shares, the secret to success isn't capital or flashy pitch decks. It's an obsession with infrastructure, team building, and doing the messy work of aligning people and process.In this candid conversation, Adam breaks down his methodology for scaling fast-growing organizations. From audits and goal-setting to the surprisingly overlooked art of hiring with intentionality. He also shares why most business books are garbage (except one), and why being “like bamboo” might be your best leadership model.Expect to learn:

a16z general partner David Haber spoke with Goldman Sachs CEO David Solomon and a16z cofounder Ben Horowitz on the current macro environment, enterprise AI adoption, and crypto and AI policy. Solomon describes what he calls the "sweetest spot" he's seen in 40 years and explains Goldman's "One GS 3.0" initiative to reimagine core processes with AI. Horowitz discusses why "leads aren't what they once were" in AI and how a16z grew from a startup VC to capturing 18% of all US venture capital. Resources: Follow David Solomon on X: https://twitter.com/DavidSolomonFollow Ben Horowitz on X: https://twitter.com/bhorowitzFollow David Haber on X: https://twitter.com/dhaber Timestamps: 00:00 — Introduction02:09 — Goldman's Evolution from Partnership to Public Company08:54 — How a16z Went from Top Tier to 18% of All US Venture Capital15:33 — "As Sweet a Spot" as Solomon Has Seen in 40 Years19:00 — M&A Outlook: "Whatever the Question Is, the Answer Is Maybe"21:33 — Why Leads Aren't What They Once Were in AI23:03 — Crypto Policy: The Genius Act and Clarity Act25:24 — AI Policy: "Don't Regulate Math"28:03 — One GS 3.0: Reimagining Processes with AI32:54 — Will AI Agents Change Investing?34:00 — Favorite DJ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.