Podcasts about co founders

Send us a message!Growth in short-term rentals often gets framed as a numbers game. More properties, more markets, more tech, and more scale.But what if growth isn't about doing more but choosing better?In this 1st of the Month Bonus episode, Alex & Annie sit down with Carly Traub, Co-Founder and CEO of Lazy Sunday Rentals, to talk about what it really looks like to build a business intentionally in a fast-moving, information-heavy industry.Carly launched her company in 2022 alongside her husband, starting with a single property and quickly scaling to a growing portfolio. Like many operators, she said yes to everything early on. Over time, she realized that not all growth is aligned growth.This conversation explores the shift from reactive expansion to thoughtful refinement.Episode Chapters:04:53 Moving from channel-dependent to brand-driven06:15 Why saying “yes” to everything works at first and why it eventually doesn't07:15 Maximizing your existing tech stack before adding more tools6:26 Evaluating return on time, not just return on money18:23 Building a direct booking strategy that reflects your identity27:58 How to define the kind of guest experience you actually want to deliver31:59 Why smaller operators need a seat at the DMO table41:26 The realities of operating in a “hot” investment market45:29 Unrealistic investor expectations and the myth of easy remote hostingIf you're building in a crowded market and want growth that fits your vision, this episode will help you pause, refocus, and move forward with intention.Connect with Carly:LinkedIn: https://www.linkedin.com/in/carly-traub-6a402325/ Website: https://lazysundayrentals.com/ ✨ Exclusive Offer to Alex & Annie Listeners:Streamline your short-term rental operations with Hostfully.Mention the Alex & Annie Podcast when you sign up and get free onboarding ($1000 value).

What is the real killer when it comes to heart disease? Can the right cardiac testing truly mean the difference between life and death? In today's episode, we are joined by Dr. John Osborne, a Harvard-trained, triple board-certified cardiologist and Co-Founder of ClearCardio, to break it all down… Dr. Osborne earned his B.S. with honors from Penn State University, his M.D. magna cum laude from Jefferson Medical College, and a Ph.D. in cardiovascular physiology from Thomas Jefferson University. His postdoctoral training at Harvard Medical School and Brigham and Women's Hospital helped shape his expertise in non-invasive cardiology. Board-certified across multiple disciplines, his work focuses on preventive cardiology, metabolic syndrome, and cardiovascular genetics. Recognized as the American Heart Association's Cardiac Care Provider of the Year and named a Top Doctor multiple times, Dr. Osborne has authored original research papers, book chapters, and delivered hundreds of international presentations. Through ClearCardio, he is advancing proactive cardiac care by integrating AI-powered imaging to detect plaque earlier, quantify risk more precisely, and empower patients before symptoms appear. In this episode, we dive into: What actually causes heart attacks and sudden cardiac death. The role of soft plaque vs calcified plaque in coronary artery disease. Why many heart attacks happen after a "normal" stress test. The limits of stents and why they do not necessarily extend longevity. To learn more about Dr. Osborne and his work with ClearCardio, connect with him on LinkedIn!

Hex Trust CEO Alessio Quaglini joins Consensus Hong Kong to discuss how stablecoins solve transparency issues in traditional banking and how Hex Trust simplifies cross-chain asset management for institutional partners. CEO and Co-Founder of Hex Trust, Alessio Quaglini, joins the desk at Consensus Hong Kong to explain how stablecoins are providing an upgrade to a trillion-dollar payments problem. Quaglini identifies the lack of transparency and efficiency in traditional banking as a massive hurdle that has been avoided for decades. He explains how Hex Trust acts as the conduit between the blockchain world and bank accounts, hiding the complexity of managing assets across 50 different blockchains for partners like IBM and Animoca. - This episode was hosted live by Jennifer Sanasie and Sam Ewen at Consensus Hong Kong 2026, presented by Hex Trust.

Jerry Murdock is the Co-Founder of Insight Partners, one of the most formidable growth investors of the last three decades, with over $90 billion in AUM and a portfolio that has shaped the modern software economy. Jerry never does podcasts, and so this is his first-ever long-form interview.  AGENDA: 03:50 There is an AI Tsunami Beginning 05:43 Cursor is F***** and Everyone Knows It 07:28 How Open Source Will Crush in an Agent First World 10:20 Is NVIDIA F**** 17:32 Are Systems of Record Dead in an Agent-First World 21:04 Humans Will Not Buy Software, Agents Will… 24:57 Universal Basic Income Will Have to Happen, Mass Unemployment is Coming 30:54 What Happens to Tech Private Equity: Is Thoma Bravo F****** 37:50 What Single Decision Does Jerry Regret Most… Why? 41:45 Single Biggest Mistake With Insight… What Did Jerry Learn? 45:26 Why is Now the Best Time to Start a Fund 47:03 The Twitter Bet that Made $90BN Insight 49:34 Biggest Marriage and Parenting Advice 56:04 Will Agents Help Us Live Forever    

Episode 119 - Credit Confidence - Smart, Simple Strategies to Build Credit with Cynthia Chen, the Co-Founder and CEO of Kikoff, one of the fastest-growing mission-driven fintechs in America. Disclaimer: Please note that all information and content on the UK Health Radio Network, all its radio broadcasts and podcasts are provided by the authors, producers, presenters and companies themselves and is only intended as additional information to your general knowledge. As a service to our listeners/readers our programs/content are for general information and entertainment only.  The UK Health Radio Network does not recommend, endorse, or object to the views, products or topics expressed or discussed by show hosts or their guests, authors and interviewees.  We suggest you always consult with your own professional – personal, medical, financial or legal advisor. So please do not delay or disregard any professional – personal, medical, financial or legal advice received due to something you have heard or read on the UK Health Radio Network.

Husband and wife Allison and Stephen Ellsworth have 3 kids and 3 Super Bowl commercials - Because together they created Poppi, the better-for-you soda disruptor that PepsiCo bought for $1.95 Billion last year.Their biggest fight? The day they sold the company.They've got a spreadsheets/bedsheets policy you don't want to miss.Work/Life Balance? That's the wrong question for entrepreneurs.Plus, Stephen plays the Newlywed game, TBOY-style.In this live interview from State Theater in Austin, we discuss the Ellsworth's full-circle moment: They got a deal on shark tank, grew Poppi's stock 100,000%, then came back to Shark Tank… as Sharks.In this interview, you'll hear how Allison and Stephen design a business based on vibes, why the marketing metrics don't matter, how distribution is destiny… and why you celebrate the wins in Italy.It's one part TBOY hangout, one part couples counseling, and we had so much fun on-stage with them, Jack even stole their drinks.NEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

With over a billion creators projected to be active in the next decade, is the traditional distinction between a brand, a publisher, and a creator in need of an updated definition? Agility requires not just reacting to new platforms, but fundamentally rethinking who creates your content and how you build an authentic community around it. It's about moving from a campaign mindset to an ecosystem mindset. Today, we're going to talk about the seismic shift in the media landscape, driven by the explosive growth of the creator economy. We'll explore how the very definition of a creator is evolving from a short-term influencer to a long-term brand builder, and what opportunities and challenges this presents for established brands that are trying to earn and keep their audience's attention. To help me discuss this topic, I'd like to welcome, Andrew Perlman, Co-Founder and CEO at Recurrent. About Andrew Perlman Andrew Perlman is the Co-Founder and Chief Executive Officer of Recurrent. Perlman co-founded the company in 2018 with the acquisition of The Drive. Over a span of three years, he oversaw the acquisition of nearly 25 noteworthy brands, including Task & Purpose, Popular Science, Dwell, and Donut, and in the process, introduced Recurrent as the new parent company for the digital media portfolio. In 2022, Perlman rejoined the organization from his role on the board as the Head of M&A and Corporate Development before he assumed the role of CEO in 2023. Previously, Andrew spent over six years as the Chief Executive Officer of XpresSpa, FORM Holdings, and its predecessor company, Vringo, where he led the overall business operations and strategy as well as capital raising. During his tenure, he also oversaw five acquisitions and the NASDAQ listing of the company. Andrew has also served as Vice President of Business Development at EMI Music, SVP of Music and Digital at Classic Media, and held roles at early mobile content companies. Andrew Perlman on LinkedIn: https://www.linkedin.com/in/adperlman/ Resources Recurrent: https://recurrent.io/ Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://aglbrnd.co/r/c43e68ce5cfb321e The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Tushar Jain and Mike Ippolito make the bull case for Solana as competition heats up. Thank you to our sponsors! Fuse: The Energy Network – Shift your energy use and earn rewards. MultiChain Advisors – The Growth & Capital Markets Partner You Need Crypto Tax Girl – Save $100 on your crypto taxes. With Ethereum refocusing on L1 and Hyperliquid adoption growing, Solana is arguably facing stronger competition than ever. Can it thrive still? Multicoin co-founder Tushar Jain and Blockworks co-founder Mike Ippolito share several reasons to be excited about Solana, including Alpenglow and anticipated market microstructure design flexibility. Find out why Tushar and Mike say Firedancer has not been a flop despite seemingly low adoption, why they don't see block building issues stopping Solana from challenging Hyperliquid, and why they say the network doesn't have to do anything to specifically attract AI agents. Plus, why they both believe that the RWA race is too early to call despite Ethereum's dominance. Meanwhile, with Alpenglow still months away, Mike says the wait doesn't matter — for the next 12 to 18 months BD and marketing matter more than tech for adoption. Guest: Tushar Jain, Co-Founder & Managing Partner at Multicoin Capital Previous appearances on Unchained: Solana Rejected Inflation Reduction-Here's Why CoinFund's Jake Brukhman and Multicoin's Tushar Jain on Generalized Mining  Binance Hack: Should the Threat of Reorgs Be Used to Deter Hackers? Multicoin on the 1 Thing Crypto Teams Miss in Their Quests for Success Mike Ippolito, Co-Founder at Blockworks Links: Unchained: Ethereum Lets Go of the Rollup Story. Here Are the 6 Tokens That Benefit Jump Crypto's Firedancer Goes Live on Solana Mainnet BlackRock Just Chose Uniswap. The Market Didn't Care. Here's Why. When AI Agents Take Over, What Does a Post-Human Economy Look Like? Uneasy Money: How the Increasingly Better AI Agents Are Being Used Onchain Pump.fun Cashed Out $436M Since Mid-October: Lookonchain Zora Shocks Base Community With Solana Pivot Learn more about your ad choices. Visit megaphone.fm/adchoices

JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT (***TIMESTAMPS in description below) ~ Max Towey & Max Frost are the Co-Founders of RocaNews, the media startup bringing unbiased, engaging news to millions of young readers. Their YouTube channel, RocaNews, features wide-ranging documentaries from around the world. ROCA NEWS LINKS: ROCA Newsletter: https://thecurrent.rocanews.com/ YT 1: https://www.youtube.com/@UClGVMvGjakjZHH_TmnbxYlQ YT 2: https://www.youtube.com/@UCkA4AlFdXjIe6E6cZ-w3ZWw IG: https://www.instagram.com/ridethenews/ TikTok: https://www.tiktok.com/@rocanews FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Christian the Venezuelan Editor, Crazy Time, Covering Up Epstein 3:55 - Frost's Docs in Middle East, Pyramids of Giza, Brandon Buckingham's Lebanon Doc 9:41 - Inside Hezbollah, Israel Lebanon War 20:14 - Israeli Rationale, Hezbollah Sources on ground 30:18 - Israeli Settlements, 2 kinds of Settlements, Violence 41:18 - Palestinian Conflict, Stand Down Orders, Gaza 53:13 - Scapegoats, Israel & Hamas 1:03:23 - Israel, Qatar & Hamas lines, Religion & Culture Ranges in Middle East 1:18:55 - Trump's Iran War, Julian's 2nd Source on Iran, Iranian Dissidents Opinions 1:28:46 - Iran Multiple thoughts at same time, Regime Change Disasters 1:38:34 - Carving up Middle East, Turkey 1:41:01 - Hezbollah paranoid because of War 1:47:14 - Epstein Files Chaos 1:52:26 - Epstein Jerky, Dave Smith on Mossad, Intelligence Peddling 2:05:50 - Epstein Rolling Heads, Coverup, Theory Madness 2:27:18 - Who is Guilty & Who is Not, Lawrence Krauss, Steve Bannon, “Story of the Century” 2:37:26 - Rho Khanna & Thomas Massie Epstein Files Fight, Distraction?, Trump decisions 2:48:57 - Roca Work CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 389 - RocaNews: Max Frost & Max Towey Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

William Quigley, Co-Founder of Tether and WAX, joined me to discuss the disappointing crypto bull market and when we may see a recovery.Topics:- Tether & the Stablecoin market - Banks fighting stablecoin yield - Stablecoins impact on FX Market - Crypto bull and bear market review- Future of Crypto Brought to you by

Episode #1688 : Dentistry Uncensored with Howard Farran, three industry leaders—Dr. Edward Rossomando, Dr. Gordon Christensen, and Chuck Cohen—come together for a wide-ranging discussion on the present and future impact of AI in dentistry. From clinical innovation to practice management and education, this roundtable explores how students, new grads, and experienced dentists can stay ahead of the curve as technology rapidly reshapes the profession.

Is AI just another tech bubble or the defining platform shift of this era? Duncan Davidson, Co-Founder and General Partner at Bullpen Capital, argues that the answer lies in one critical distinction: Is the technology being used for its core purpose? In this episode of Technoventure, Duncan draws on his experience across the PC boom, dot-com era, mobile, and now AI to explain why real adoption signals durability. He also explores why CIOs can't afford to sit out a boom, how AI agents may disrupt the SaaS model, and why history suggests productivity revolutions create more opportunity than they destroy. For technology leaders navigating board-level AI pressure, this conversation reframes the question from timing the bubble to strategically participating in the inflection. Key insights include: Why core-use adoption determines whether AI is hype or a true platform shift Why leaders must participate in tech booms rather than try to time the peak How to distinguish defensible AI innovation from fragile “wrapper” plays What historical signals indicate when a technology boom is nearing exhaustion

I am Rolf Claessen and together with my co-host Ken Suzan I welcome you to Episode 172 of our podcast IP Fridays. Today's interview guests are Co-Founder & CEO of Inception Point AI, Jeanine Whright, and Mark Stignani, who is Partner & Chair of Analytics Practice at Barnes & Thornburg LLP. https://www.linkedin.com/in/jeaninepercivalwright https://www.linkedin.com/in/markstignani Inception Point AI But before the interview I have news for you: The Unified Patent Court (UPC) ruled on Feb 19, 2026, that specialized insurance can cover security for legal costs. This is vital for firms, as it eases litigation financing and lowers financial hurdles for patent lawsuits by removing the need for high liquid assets to enforce rights at the UPC. On Feb 12, 2026, the WIPO Coordination Committee nominated Daren Tang for a second six-year term as Director General. Tang continues modernizing the global IP system, focusing on SMEs, women, and digital transformation. His confirmation in April is considered certain. An AAFA study from Feb 4 reveals 41% of tested fakes (clothing/shoes) failed safety standards. Many contained toxic chemicals like phthalates, BPA, or lead. The study highlights that counterfeiters increasingly use Meta platforms to sell unsafe imitations directly to consumers. China's CNIPA 2026 report announced a crackdown on bad-faith patent and trademark filings. Beyond better examination quality, the agency will sanction shady IP firms and stop strategies violating “good faith” to make China’s IP system more ethical and innovation-friendly. Now, let's hear the interview with Jeanine Whright and Mark Stignani! How AI Is Rewiring Media & Entertainment: Key Takeaways from Ken Suzan's Conversation with Jeanine Wright and Mark Stignani In this IP Fridays interview, Ken Suzan speaks with two repeat guests who look at the same phenomenon from two angles: Jeanine Wright, Co-Founder & CEO of Inception Point AI, as a builder of AI-native entertainment, and Mark Stignani, Partner and Chair of the Analytics Practice at Barnes & Thornburg LLP, as a lawyer advising clients who are trying to use AI without stepping into a legal (or ethical) crater. What emerges is a clear picture: generative AI is not just “another tool.” It is rapidly becoming the default infrastructure for creative work—while the rules around ownership, consent, and accountability lag behind. 1) What “AI-generated personalities” really are (and why that matters) Jeanine's company is not primarily “cloning” real people. Instead, Inception Point AI creates original, fictional personalities—characters with backstories, ambitions, and evolving arcs—then deploys them into the world as podcast hosts and content creators (and eventually actors and musicians). Her key point: the creative work still starts with humans. Writers and creators define the concept, tone, audience, and story engine. What AI changes is speed, cost, and iteration—and therefore what is economically feasible to produce. 2) The “generative content pipeline” isn't a magic button A recurring misconception Ken raises is the idea that someone “pushes a button” and content pops out. Jeanine explains that real production looks more like a hybrid studio: A creative team defines character, voice, format, and storyline. A technical team builds what she calls an “AI orchestration layer” that combines multiple models and tools. The “stack” differs by format: the workflow for a long-form audio drama is different from a short-form beauty clip. This matters because it reframes AI content not as a single output, but as a pipeline decision: which tools, which data sources, which QA, and which governance steps are used—and where human review happens. 3) The biggest legal questions: origin, liability, ownership, and contracts Mark doesn't name a single “top issue.” He describes a cluster of problems that repeatedly show up in client conversations: Training data and “origin story” Clients keep asking: Can I legally use AI output if the tool was trained on copyrighted works? Even if the output looks new, the unease is about whether the tool's capabilities are built on unlicensed inputs. Liability for unintended harm Mark flags risk from AI content that inadvertently infringes, defames, or carries bias. The legal exposure may not match the creator's intent. Ownership and protectability He points to a big gap: many jurisdictions are still reluctant to grant classic IP rights (copyright or patent-style protection) to purely AI-generated material. That creates uncertainty around whether businesses can truly “own” what they produce. Old contracts weren't written for AI A final, practical point: many agreements—talent contracts, author clauses, data licenses—predate generative AI and simply don't address it. That leads to disputes about scope, permissions, and—crucially—indemnities. 4) Are we at a tipping point? The “gold rush” vs. “next creative era” views Jeanine frames AI as “the world's most powerful creative tool”—comparable to previous step-changes like animation, special effects, and CGI. For her, the strategic implication is simple: creators who learn to use AI well will expand what they can build and test, faster than ever. Mark's metaphor is more cautionary: he calls the moment a “gold rush” where technology is sprinting ahead of law. Courts are getting flooded with foundational disputes, while legislation is fragmented—he notes that states may move faster than federal frameworks, and that labor agreements (e.g., union protections) will be a key pressure point. 5) Democratization: more creators, more niche content, more experimentation One of the most concrete themes is access. Jeanine argues AI will: Lower production barriers for independent filmmakers and storytellers. Reduce the need for “hit-making only” economics that dominate Hollywood. Make micro-audience content commercially viable. Her example is intentionally niche: highly localized, specialized content (like a “pollen report” for many markets) that would never have made financial sense before can now exist—and thrive—because the production cost drops and personalization scales. 6) Likeness, consent, and “digital performers”: what happens when AI resembles a real actor? Ken pushes into a sensitive area: what if someone generates a performance that closely resembles a living actor without consent? Mark outlines the current (imperfect) toolbox—because, as he emphasizes, most laws weren't built for this scenario. He points to practical claims that may come into play in the U.S., such as rights of publicity and false endorsement-type theories, and notes that whether something is parody or “too close” can become a major fault line. Jeanine explains her company's operational approach: They focus on original personalities, designed “from scratch.” They build internal checks to avoid misappropriating known names, likenesses, or recognizable identities. If they ever work with real people, the model would be licensing their likeness/voice. A subtle but important business point also appears here: Jeanine expects AI-native characters themselves to become licensable assets—meaning the entertainment economy may expand to include “celebrity rights” for fully synthetic personalities. 7) Ethics: the real line is “deception,” not “AI vs. human” The ethical core of the conversation is not “AI is bad” or “AI is good.” It's how AI is used—especially whether audiences are misled. Mark highlights several ethical risks: Misuse of tools to manipulate faces and content (“AI slop” and political misuse). Displacement of creative workers without adequate transition support. A concern that AI often optimizes toward “statistical averages,” potentially flattening originality. Jeanine agrees ethics must be designed into the system. She describes regular discussions with an ethicist and emphasizes a principle: transparency. Her company discloses when content or personalities are AI-generated. She argues that if people understand what they're engaging with and choose it knowingly, the ethical problem shifts from “AI exists” to “Are we tricking people?” Mark adds a real-world warning: deepfakes are now credible enough to enable serious fraud—he references a case-like scenario where a synthetic video meeting deceived an employee into authorizing a payment. The point is clear: authenticity and verification are no longer optional. 8) The “dead actor” hypothetical: legal permission vs. moral intent Ken raises a provocative scenario: an actor's estate authorizes an AI-generated new performance, but the actor opposed such technology while alive. Neither guest offers a simplistic answer. Jeanine suggests that even if the estate holds legal rights, a company might choose to avoid such content out of respect and because the ethical “overhang” could damage the storytelling outcome. She also notes the harder question: people who died before today's capabilities may never have been able to meaningfully consent to what AI can now do—raising questions about how we interpret legacy intent. Mark underscores the practical contract problem: many rights are drafted “in perpetuity,” but that doesn't automatically settle the ethical question. 9) Five-year forecast: “AI everywhere,” but audiences may stratify Ken closes with a prediction question: in five years, how much entertainment content will significantly involve AI—and will audiences care? Jeanine predicts AI becomes the default creative layer for most content creation. Mark is slightly more conservative on the percentage, but adds an important nuance: the market will likely stratify. Low-cost, high-volume content may become saturated with AI, while premium segments may emphasize “human-made” as a differentiator—especially if disclosure norms become standard. Bottom line for business leaders and creators This interview lands on a pragmatic conclusion: AI will change how content is made at scale, and the competitive edge will go to teams that combine creative taste, operational discipline, and legal/ethical governance. If you're building, commissioning, or distributing content, the questions you can't dodge anymore are: What's the provenance of the tools and data you rely on? Who is responsible when output harms, infringes, or misleads? What rights can you actually claim in AI-assisted work? Do your contracts and disclosures match the new reality? Ken Suzan: Thank you, Rolf. We have two returning guests to the IP Friday’s podcast. Joining me today is Janine Wright and Mark Stignani. Our topic for discussion, how is AI transforming the media and entertainment industries today? We look at the issues from differing perspectives. A bit about our guests, Janine Wright is a seasoned board member, CEO, global COO and CFO. She’s led organizations from startup to a $475 million plus revenue subsidiary of a public company. She excels in growth strategy, adopting innovative technologies, scaling operations and financial management. Janine is a media and entertainment attorney and trial litigator turned technologist and qualified financial expert. She is the co-founder and CEO of Inception Point AI, a growing company that is paving new ground with AI-generated personalities and content through developing technology and story. Mark Stignani is a partner with Barnes & Thornburg LLP and is based in Minneapolis, Minnesota. He is the chair of the data analytics department with a particular emphasis on artificial intelligence, machine learning, cryptocurrency and ESG. Mark combines the power of artificial intelligence and machine learning with his skills as a corporate and IP counsel to deliver unparalleled insights and strategies to his clients. Welcome, Janine and Mark to the IP Friday’s podcast. Jeanine Whright: Thank you. Thank you. Thank you so much for having me and fun to be back. It feels nostalgic to be here. Ken Suzan: That’s right. And you both were on the program. So it’s fantastic that you’re both back again. So our format, I’m going to ask a question to Janine and or Mark and sometimes to both of you. So that’s going to be how we proceed. Let’s jump right in. Janine, your company creates AI-generated actors. For listeners who may not be familiar, can you briefly explain what that means and what’s now possible that wasn’t even two years ago? Jeanine Whright: Sure. Yeah, we are creating AI-generated personalities. So new characters, new personalities from scratch. We design who these personalities are and will be, how they will evolve. So we give them complex backstories. We give them hopes and dreams and aspirations. We every aspect of them, their families, how they’re going to evolve. And in the same way that, say, you know, Disney designs the character for its next animated feature or, you know, an electronic arts designs a character for its next major video game. We are doing that for these personalities and then we are launching them into the world as podcast hosts, content creators on social platforms like YouTube, Instagram and TikTok. And even in the future, you know, actors in feature length films, musicians, etc. Ken Suzan: Very fascinating. Mark, from your practice, what’s the single biggest legal question or dispute you’re seeing clients wrestle with when it comes to AI and media creation? Mark Stignani: Well, I think that, you know, it’s not just one thing, it’s like four things. But most of them tend to be kind of the origin story of AI data or AI tools that they use because, you know, but for the use of AI tools trained on copyrighted materials, the tools wouldn’t really exist in their current form. So a lot of my clients are wondering about, you know, can I legally use this output if it’s built upon somebody else’s IP? The second ask, the second flavor of that is really, is there liability being created if I take AI content that inadvertently infringes or defames or biases there? So there’s the whole notion of training bias from the training materials that comes out. The third phase is really, you know, can I really own this? Because much of the world does not really give IP rights into AI-generated inventions, copyrighted materials. It’s still kind of a big razor. Then at the end of the day, you know, if it’s an existing relationship, does my contract even contemplate this? So everything from authors contracts on up to just use of data rights that predate AI. Ken Suzan: And Janine and Mark, a question to both of you. How would you describe where we are right now in the AI revolution in media and entertainment? Are we approaching a tipping point? And if so, what are the things we need to watch for? Jeanine Whright: Yeah, I definitely think that we’re at a phase where people are starting to come to the realization that AI is the world’s most powerful creative tool. But that, you know, storytelling and point of view is what creates demand and audiences. And AI doesn’t threaten or change that. But it does mean that as people evolve in this medium, they’re very likely going to need to adopt, utilize and figure out how to hone their craft with these AI-generated content and these AI-generated toolings. So this is, you know, something that people have done certainly in the past in all sorts of ways in using new tools. And we’ve seen that make a significant change in the industry. So you look at, you know, the dawn of animation as a medium. You look at use of special effects, computer-generated imagery in the likes of Pixar. And this is certainly the next phase of that evolution. But because of the power of the tool and what will become the ubiquity of the tool, I think that it’s pretty revolutionary and all the more necessary for people to figure out how to embrace this as part of their creative process. Ken Suzan: Thank you, Janine. Mark, your thoughts? Mark Stignani: Yeah, I mean, I liken this to historically to like the California gold rush right now, because, you know, the technology is so far outpaced in any of the legal frameworks that are available. And so we’re just trying to shoehorn things in left and right here. So, I mean, the courts are beginning to start to engage with the foundational questions. I don’t think they’re quite there yet. I just noticed Anthropic got sued again by another group of people, big music group, because of the downloaded works they’ve done. I mean, so the courts are, you know, the courts are certainly inundated with, you know, too many of these foundational questions. Legislatively, hard to tell. I mean, federal law, the federal government is not moving uniformly on this other than to let the gold rush continue without much check and balance to it. Whereas states are now probably moving a lot faster. Colorado, Illinois, even Minnesota is attempting to craft legislation and limitations on what you can do with content and where to go with it. So, I mean, the things we need to watch for any of the fair use decisions coming out here, you know, some of the SAG-AFTRA contract clauses. And, you know, again, the federal government, I just, you know, I got a big shrug going as to what they’re actually going to come up with here in the next 90 to 100 days. So, but, you know, I think they’ll be forced into doing something sooner than later. Ken Suzan: Okay, let’s jump into the topic of the rise of generative content pipelines. My first question to Janine. Studios and production companies are now building what some call generative content pipelines. This is where AI systems produce everything from scripts to visual effects to voice performances. What efficiencies and creative possibilities does this unlock for the industry? Jeanine Whright: Yeah, so this is quite a bit of what we do. And if I could help pull the curtain back and explain a little bit. Ken Suzan: That’d be great. Jeanine Whright: Yeah, there’s this assumption that, you know, somebody is just sitting behind a machine pushing a button and an out pops, you know, what it is that we’re producing. There’s actually quite a bit of humans still in the loop in the process. You know, we have my team as creators. The other half of my team is the technologists. And those creators are working largely at what we describe as the the tip of the sphere. So they’re, of course, coming up with the concepts of who are these personalities? What are these personalities, characters, backgrounds going to be a lot of like rich personality development? And then they’re creating like what are the formats? What are the kind of story arcs? What is the kinds of content that this this character wants to tell? And what are the audiences they’re desiring to reach and what’s most going to resonate with them? And then what we built internally is what we refer to as an AI orchestration layer. So that allows us to pull from basically all of the different models and then all of these different really cool AI tools. And put those together in such a way and combine those in such a way that we can have the kind of output that our creative team envisions for what they want it to be. And at the end of the day, what you what the stack looks like for, say, a long form audio drama, like the combination of LLMs that we’re going to use in different parts of scripting and production and, you know, ideating and all of that. And the kinds of tooling that we use to actually make it and get it to sound good and have the kinds of personality characteristics that we want to be in an authentic voice for a podcast is going to be different than the tech stack and the tool stack that we might use for a short form Instagram beauty tip reel. And so there’s a lot of art in being able to pull all of these tools together to get them to do exactly what you want them to do. But I think the second part of your question is just as interesting as the first. I mean, what is what possibilities is this unlocking? So of course you’re finding efficiencies in the creative production process. You can move faster. You can do things were less expensive, perhaps, and you were able to do it before. But on the creator side, I think one thing that hasn’t been talked about enough is how it is really like blown wide the aperture of what creators can do and can envision. Traditionally, you know, Hollywood podcasting, many of these businesses that become big businesses have become hit making businesses where they need to focus on a very narrow of wide gen pop content that they think is going to get tens of millions, hundreds of millions in, you know, fans and dollars in revenue for every piece of content that they make. So the problem with that is, is that it really narrows the kinds of things that ultimately get made, which is why you see things happening in Hollywood, like the Blacklist, which is, you know, this famous list of really exceptional content that remains unpredited, unproduced, or why you see things like, you know, 70 to 80% of the top 100 movies being based on pre-existing IP, right? Because these are such huge bets that you need to feel very confident that you’re going to be able to get big, big audiences and big, big dollars from it. But with AI, and really lowering the barrier to entry, lowering the costs of production and marketing, the experimentation that you can do is really, really phenomenal. So, you know, my creative team, if they have an idea, they make it, you know, they don’t have to wring their hands through like a green lighting process of, you know, should we, shouldn’t we, like we, we can make an experiment with lots of different things, we can do various different versions of something. We can see what would this look like if I placed it in the 1800s, or what if I gave this character an Australian accent, and it’s just the power of being able to have this creative partner that can ideate with you and experiment with you at rocket speed. With the creators that are embracing it, you can see how it is really fun for them to be able to have this wide of a range of possibility. Ken Suzan: Mark, when you hear about these generative pipelines, what are the immediate red flags or concerns that come to mind from a legal standpoint? How about ethics underlying all of this? Well, Mark Stignani: that was not, that’s the number one red flag because I mean, we are seeing not just that in the entertainment industry, but it literally at political levels, and the kind of the phrase, to turn the phrase AI slop being generated, we’re seeing, you know, people’s facial expressions altered. In some cases, we’re seeing AI tools being misused to exploit various groups of individuals and genders and age groups. So I mean, there’s a whole lot of things ethically that people are using AI for that just don’t quite cover it. Especially in the entertainment industry, I mean, we’re looking at a fair amount of displacement of human workers without adequate transition support, devaluation of the creative labor. I mean, the thing though that I’m always from a technical standpoint is AI is simply a statistical average of most everything. So it kind of devalues the benefit of having a human creator, a human contribution to it. That’s the ethical side. But on the legal side, I see chain of title issues. I mean, because these are built on very questionable IP ownership stages, I mean, in most of these tools, there has been some large copying, training and taking of copyrighted materials. Is it transformational? Maybe. But there’s certainly not a chain of title, nor is there permission granted for that training. I mentioned SAG-AFTRA earlier, I think there’s a potential set of union contract aspects to this that if you know many of these agreements and use sub-licenses for authors and actor agreements, they weren’t written with AI in mind. So that’s another red flag. And also I just think in indemnification. So if we ultimately get to a point where groups are liable for using content without previous license, then who’s liable? Is the tool maker the liable group or the actual end user? So those are probably my top four red flags. But I think ethics is probably my biggest place because just because we can do something from an ethical standpoint doesn’t mean we should. Jeanine Wright: Yeah, if I can respond to both of those points. I mean, one from a legal perspective, just to be very clear, I mean, we are always pulling from multiple different models and always pulling from multiple different sources. And we even have data sources that we license or use for single source of truth on certain pieces of information. So we’re always pulling things together from multiple different sources. We also have built into our process, you know, internal QAing and checking to make sure that we’re not misappropriating the name or likeness of any existing known personality or character. We are creating original personalities there. We design their voice from scratch. We design their look from scratch. So we’re not on our personality side, we’re not pulling or even taking inspiration from existing intellectual property that’s already out there in creating these personalities. On the ethical side, I agree. I mean, when we came out of stealth, we came out of stealth in September. There was certainly quite a bit of backlash from folks in my—I previously co-founded a company in the audio space. I mean, there’s been many rounds of layoffs in audio and in many other parts of the entertainment industry. So I’m very sensitive to the feedback around, like, is this job displacement? I mean, I do think that the CEO of NVIDIA said it right when he said, you’re likely not going to lose your job to AI, but you will lose your job to somebody who knows how to use AI. I think these tools are transforming the way that content is made and that the faster that people can embrace this tooling, the more likely they’re going to be having the kinds of roles that they want in, you know, in content creation and storytelling in the future. And we are hiring. I’m hiring AI video creators, AI audio creators. I’m hiring AI developers. So people who are looking for those roles, I mean, please reach out to me, we would love to work with you and we’d love to grow with you. We also take the ethics very seriously. For the last few months or so, I’ve met regularly with an ethicist, we talk about all sorts of issues around, you know, is designing AI-generated people, you know, good for humanity? And what about authenticity and transparency and deception, and how are we in building in this space going to avoid some of the problems that we’ve seen with things like social media and other forms of technology? So we keep that very top of mind and we try to build on our own internal values-based system and, you know, continue to elevate and include the humanity as part of the conversation. Ken Suzan: Thank you, Janine. Janine, some argue that AI content pipelines will level the field for filmmaking, giving independent creators access to tools that were once available only to major studios. Is that the future you envision? Jeanine Wright: I do think that with AI you will see an incredible democratization of access to technology and access to these capabilities. So I do think, you know, rise of independent filmmakers, you won’t have as many people who are sitting on a brilliant idea for the next fantastic script or movie that just cannot get it made because they will be able to with these tools, get something made and out there, at least to get the attention of somebody who could then decide that they want to invest in it at a studio kind of level in the future. The other thing that I think is really interesting is that I think, you know, AI will empower more niche content and more creators who can thrive in micro-communities. So it used to be because of this hit generation business model, everything needed to be made for the masses and a lot of content for niche audiences and micro-communities was neglected because there was just no way to make that content commercially viable. But now, if you can leverage AI—we make a pollen report podcast in 300 markets, you know, nobody would have ever made that before, but it is very valuable information, a very valuable piece of content for people who really care about the pollen in their local community. So there’s all sorts of ways that being able to leverage AI is making it more accessible both to the creator and to the audience that is looking for content that truly resonates with them. Ken Suzan: Mark, let’s talk about the legal landscape right now. If someone creates an AI-generated performance that closely resembles a living actor without their consent, what legal recourse does that actor have? Mark Stignani: Well, I mean, I think we can go back to the OpenAI Scarlett Johansson thing where, you know, if it’s simply—well, the “walks like a duck, quacks like a duck” type of aspect there. You know, I think it’s pretty straightforward that they need to walk it back. I mean, the US doesn’t have moral rights, really, but there’s a public visage right, if you will. And so, one of the things that I find predominantly useful here is that these actors likely have rights of publicity there, we probably have a Lanham Act false endorsement claim, and you know, again, if the performance is not parody, and it’s so close to the original performance, we probably have a copyright discussion. But again, all of these laws predate the use of AI, so we’re going to probably see new sets of law. I mean, we’re probably going to see “resurrection” frameworks, we’ll probably have frameworks for synthetic actors and likenesses, but the rules just aren’t there yet. So, unfortunately, your question is largely predictive versus well-settled at this point. Ken Suzan: Janine, your company works with AI actors. How do you navigate the questions of consent and likeness compensation when creating digital performers? Jeanine Wright: I mean, if we—so first of all, if we were to work with a person who is an existing real-life person or was an existing real-life person, then we would work with them to license their name and likeness or their voice or whatever aspects of it we were going to use in creating content in partnership with them. Not typically our business model; we are, as I said, designing all of our personalities from scratch and making all of our content originally. So, we’ve not had to do that historically. Now, you know, the flip side is: can I license my characters as if they’re similar to living characters? Like will I be able to license the name and likeness and voice of my AI-generated personalities? I think the answer is yes and we’re already starting to do that. Ken Suzan: Let’s just switch gears into ethics and AI because I find this to be a really fascinating issue. I want to look at a hypothetical. And this is to both of you, Janine and Mark: an AI system creates a new performance by a beloved actor who passed away decades ago, and the actor’s estate authorizes it, but the actor was known to have expressed opposition to such technology during their lifetime. Is this ethical? Jeanine Wright: This feels like a Gifts, Wills, and Trusts exam question. Ken Suzan: It sounds like it, that’s right. Jeanine Wright: Throwing me back to my law school days. Exactly. What are your thoughts? It’d be interesting to see like who has the rights there. I mean, I think if you have the legal rights, the question is around, you know, is it ethical to go against what you knew was somebody’s wishes at the time? I guess the honest answer is I don’t know. It would depend a lot on the circumstances of the case. I mean, if we were faced with a situation like that where there was a discrepancy, we would probably move away from doing that content out of respect for the deceased and out of a feeling that, you know, if this person felt strongly against it, then it would be less likely that you could make that storytelling exceptional in some way—it would color it in a way that you wouldn’t want in the outcome. And I feel like there’s—I mean, certainly going forward and it’s already happening—there are plenty of people I think who have name, likeness, and voice rights that they are ready to license that wouldn’t have this overhang. Ken Suzan: Mark, your thoughts? Mark Stignani: Yeah, I mean, again, I have to kind of go back to our property law—the Rule Against Perpetuities. You know, from a property standpoint to AI rights and likenesses—since most of the digital replica contracts that I’ve reviewed generally do talk about things in perpetuity. But if it’s not written down for that actor and the estate is doing this—is it ethical? You know, that is the debate. Jeanine Wright: Well, gold star to you, Mark, for bringing up the Rule Against Perpetuities. There’s another one that I haven’t heard for many years. This is really taking me back to my law school days. Ken Suzan: It’s a throwback. Jeanine Wright: The other thing that’s really interesting is that this technology is really so revolutionary and new that it’s hard to even contemplate now what it is going to be in a decade, much less for people who have passed away to have contemplated what the potential for it could be today. So you could have somebody who is, perhaps, a deceased musician who expressed concerns about digital representations of themselves or digital music while they were alive. But now, the possibility is that you could recreate—certainly I could use my technology to recreate—that musician from scratch in a very detailed way, trained on tons of different available data. Not just like a digital twin or a moving image of them, but to really rebuild their personality from scratch, so that they and their music could be reintroduced to totally new generations in a very respectful and authentic way to them. It’s hard to know, with the understanding that that is possible, whether or not somebody who is deceased today would or would not agree to something like that. I mean, many of them might want, under those circumstances, for their music to live on. These deceased actors and musicians could live forever with the power of AI technology. Mark Stignani: Yeah, I really just kind of go to the whole—is deep-faking a famous actor the best way to preserve them or keep them live? Again, that’s a bit more of an ethical question because the deep fakes are getting good enough right now to create huge problems. Even zoom meetings in Hong Kong where a CFO was on a call with five synthetic actors who all looked like his coworkers and they sent a big check out based upon that. So again, the technology is getting good enough to fool people. Jeanine Wright: I think that’s right, Mark, but I guess I would just highlight the same way that it always has been: the ethical line isn’t AI versus human, the ethical line is about deception. Like, are you deceiving people? And if people know what it is that they’re getting and they’re choosing to engage with it, then I think it isn’t about the power of the technology. In our business, we have elected—not everybody has—but we have elected to be AI transparent. So we tell people when they listen to our show, we include it in our show notes, we include it on our socials. Even when we’re designing our characters to be very photo-realistic, we make an extra point to make sure that people know that this is AI-generated content or an AI personality. Like, our intention is not to deceive and to be candid. From a business model perspective, we don’t need to. I mean, there’s already people who know and understand that it is AI, and AI is different than people. Because it is AI, there’s all sorts of things that you can do with it that you would not be able to do with a real person. You know, we get people who ask us on the podcast side, we get all sorts of crazy funny requests. You know, people who say, “Can I text with this personality? Can I talk to them on the phone? Can they help me cook in the kitchen? Can they sing me Happy Birthday? Can they show up at my Zoom meeting today because I think my boss would love it?” You know, all sorts of different ways that people are wanting to engage with these characters. And now we’re in the process of rolling out real-time personalities so people will be able to engage with our personalities live. It is a totally different way that people are able to engage with content, and people can, as they choose, decide what kind of content they want to engage with. Ken Suzan: Jeanine and Mark, we’re coming to the end of this podcast. I would love to keep talking for hours but we have to stay to our timetable here. Last question: five years from now, what percentage of entertainment content do you predict will involve significant AI generation, and will audiences care about that percentage? Jeanine? Jeanine Wright: I mean, I would say 99.9%. I mean, already you’re seeing—I think YouTube did a survey—that it was like 90% of its top creators said that they’re using AI as material components of their content creation process. So, I think this will be the default way that content is created. And content that is not made with AI, you know, there’ll be special film festivals for non-AI generated content, and that will be a special separate thing than the thing that everybody is doing now. Ken Suzan: Mark, your thoughts? Mark Stignani: Yeah, I go a little lower. I mean, I think Jeanine is right that we’re seeing, especially in the low-quality content creation and like the YouTube shorts and things like that, you know, there’s so much AI being pushed forward that the FTC even acquired an “AI slop” title to it. I do think that disclosure will become normalized, that the industries will be pushed to say when something is AI and what is not. And I think it’s very much like, you know, do you care about quality or not? If you value the human input or the human factor in this, there will be an upper tier where it’s “AI-free” or low AI assistant. I think that it’s going to stratify because the stuff coming through the social media platforms right now—I can’t be on it right now just because there’s so much nonsense. Even my children, who are without much AI training at all, find it just too unbelievable for them. So, I think it will become normalized, but I think that we’re going to see a bunch of tiers. Ken Suzan: Well, Jeanine and Mark, this has been a fantastic discussion of an ever-evolving field in IP law. Thank you to both of you for spending time with us today on the IP Friday’s podcast. Jeanine Wright: Thank you so much for having me. Mark Stignani: Appreciate your time. Thank you again.

Solve a real buyer problem. Build enterprise value. Exit on your terms.In this episode of the She Leads Podcast, Kelly Parker shares how she built Send Ribbon, a bootstrapped corporate gifting company acquired by UrbanStems, by focusing on one overlooked opportunity: solving real pain points for real buyers.With just $5,000 and no outside funding, Kelly launched her business at 27 after years inside high growth companies like Indeed, WeWork, and DoorDash. Instead of chasing luxury products or hype, she spoke directly with office managers, the true gatekeepers of corporate purchasing, and realized they did not need more options. They needed reliability, speed, and zero friction.That insight became her competitive advantage and ultimately positioned the company for acquisition.In this conversation, Kelly breaks down how relationship first thinking helped her win Fortune 500 clients, why visibility matters more than perfection when positioning for acquisition, and how staying close to your buyer builds long term enterprise value.She also challenges the pressure many women founders face to be “all in” at the expense of financial stability. From healthcare realities to diversified income strategies, Kelly shares practical advice for building sustainable companies that align with your life, not just your ambition.Today, through her advisory platform launchgrowexit, Kelly supports female founders who want to launch, grow, and eventually exit their companies with clarity and confidence.If you are building a business, thinking about long term value, or questioning the hustle culture narrative, this episode offers a grounded roadmap for turning customer insight into a high value company.Chapters: 00:56

Most brokers treat ancillary benefits as an afterthought - a quick box to check at renewal while focusing on the medical plan. But what if auditing a dental contract or uncovering a hidden clause in a disability policy was actually the "wedge" you needed to win the Broker of Record (BOR)?My guest, Mark Chai, Co-Founder of Archon, joins me to share his incredible journey from watching his immigrant father lose his business to bankruptcy, to skipping law school to sell insurance in rural Kansas, and eventually leaving a comfortable corporate job to launch a 100% commission-only General Agency. We discuss why Archon is built entirely around accountability, how they help brokers uncover hidden flaws in current contracts, and why "peace of mind" is the ultimate competitive advantage. This is an inspiring story of resilience, grinding harder than your competition, and finding the hidden value in ancillary benefits.▶▶ Sign Up For Your Free Discovery Callcompletegameu.com/agaCONNECT WITH ANDY NEARY

AI is reshaping every part of sales, marketing, and revenue operations—and few leaders understand that transformation better than Amy Cook, Co‑Founder and CMO of Fullcast. In this conversation, Amy breaks down how AI is redefining go‑to‑market strategy, why authenticity matters more than ever, and what modern revenue teams must do to stay competitive. From her journey as a single mom rebuilding her career, to leading multiple companies through acquisition, to now architecting AI‑powered GTM systems, Amy brings a rare blend of heart, experience, and strategic clarity. We dive into the future of commissions, territory planning, deal intelligence, lead quality, and the new rules of sales + marketing alignment.  

Send a textCameron and Gabe sit down with Girish Redekar, co-founder and CEO of Sprinto, to pull back the curtain on one of the most misunderstood areas of security: compliance.Girish built his first startup, RecruiterBox, to 3,500 customers before selling it, and it was the painful, expensive, duct-taped compliance process he experienced firsthand that sparked the idea for Sprinto. Today, Sprinto helps companies move beyond point-in-time audits into something far more valuable: continuous, autonomous trust.In this episode, we dig into:Why passing a SOC 2 or ISO 27001 audit doesn't mean you're actually secureThe three stages of compliance maturity — and how to climb themWhat "compliance debt" is and why it's quietly eating your businessHow smart CISOs use their security posture as a revenue driver, not a back-office cost centerThe "$100/month" challenge: what actually moves the needle for startupsHow AI is reshaping compliance programs — for better or worseWhy Girish spent over a year talking to customers before writing a single line of codePlus: the "sell more jeans" framework every CISO should know, Rich Hickey, The Mom Test, and the toilet paper question.

Can democracies still function when truth itself is destabilised – and what will it take to restore public trust? Around the world, democracies are being outpaced by a rapidly evolving information crisis. AI-generated deepfakes, automated propaganda, and weaponised synthetic media are now flooding public discourse faster than institutions can respond. What the world is witnessing is a runaway surge of falsehoods, which is turbo-charging a deeper collapse in our democratic capacity to verify what's real, deliberate together, and hold power to account. At this pivotal moment, Eliot Higgins, founder of Bellingcat, is bringing forward a new framework for understanding and repairing the deeper democratic fractures beneath the disinformation crisis. This event marks the first public discussion of that work. Eliot is joined by award- winning investigative journalist Carole Cadwalladr – campaigner for a free and accountable press – for a timely discussion in collaboration with Media Revolution campaigners and early adopters of the Bellingcat ARC framework. Together they will examine how AI is supercharging already established disinformation networks – and what new civic, investigative, and institutional infrastructures are needed to rebuild shared reality. Speakers: Eliot Higgins, Founder, Bellingcat Carole Cadwalladr, Investigative Journalist Chair: Liz Pendleton, Co-Founder, Media Revolution   Donate to the RSA: https://thersa.co/3ZyPOEa Become an RSA Events sponsor: https://utm.guru/ueemb Follow RSA on Instagram: https://www.instagram.com/thersaorg/ Like RSA on Facebook: https://www.facebook.com/theRSAorg/ Listen to RSA Events podcasts: https://bit.ly/35EyQYU Join our Fellowship: https://www.thersa.org/fellowship/join  

Layer 2 was supposed to scale Ethereum.But what if it fragmented it instead?In this episode, we break down:• Why public chains are “expensive databases”• Why composability is Ethereum's real value• Why stablecoins don't need blockchains• Why L2 may be weakening Ethereum's coreIs scaling helping Ethereum — or hollowing it out?Explore The Defiant ✨

We've curated a special 10-minute version of the podcast for those in a hurry. Here you can listen to the full episode: https://podcasts.apple.com/no/podcast/reid-hoffman-shaping-the-ai-era-investing-in/id1614211565?i=1000751322912&l=nbWhat's holding back AI adoption in large organizations? Nicolai Tangen speaks with Reid Hoffman, co-founder of LinkedIn, partner at Greylock, and board member at Microsoft. They explore why AI is the biggest tech revolution of our lifetime, how startups are deploying it effectively while large companies take a risk-first approach, and why Europe must get in the game rather than just regulate from the sidelines. Reid shares his contrarian investment philosophy that led to early bets on PayPal, Facebook, and Airbnb, and offers crucial advice: the next generation must become AI native. Tune in for an insightful conversation!In Good Company is hosted by Nicolai Tangen, CEO of Norges Bank Investment Management. New full episodes every Wednesday, and don't miss our Highlight episodes every Friday. The production team for this episode includes Isabelle Karlsson and PLAN-B's Niklas Figenschau Johansen, Sebastian Langvik-Hansen and Pål Huuse. Background research was conducted by Tobias Hyldmo and David Høysæther. Watch the episode on YouTube: Norges Bank Investment Management - YouTubeWant to learn more about the fund? The fund | Norges Bank Investment Management (nbim.no)Follow Nicolai Tangen on LinkedIn: Nicolai Tangen | LinkedInFollow NBIM on LinkedIn: Norges Bank Investment Management: Administrator for bedriftsside | LinkedInFollow NBIM on Instagram: Explore Norges Bank Investment Management on Instagram Hosted on Acast. See acast.com/privacy for more information.

In this episode, Dr. Osamah Choudhry, Co Founder and CEO of Medivis and neurosurgeon at NYU Langone Health, discusses the evolving role of artificial intelligence and augmented reality in spine and cranial surgery. He shares insights on FDA clearances, distribution strategy, and how next generation navigation technology is improving precision, efficiency, and patient outcomes.

In this episode, Dr. Osamah Choudhry, Co Founder and CEO of Medivis and neurosurgeon at NYU Langone Health, discusses the evolving role of artificial intelligence and augmented reality in spine and cranial surgery. He shares insights on FDA clearances, distribution strategy, and how next generation navigation technology is improving precision, efficiency, and patient outcomes.

In Episode 55 of the Vintory Podcast, Brooke Pfautz sits down with Jack Zoppa, a 26-year-old entrepreneur who is already leading two companies in the vacation rental space. Jack is the CEO of Haven Vacation Rentals in the Smoky Mountains and the Co-Founder & CEO of Tendwell Cleaning Co.At just 26, Jack has built and scaled both a property management company and a cleaning operation in one of the most competitive short-term rental markets in the country. But the journey hasn't been smooth.In this episode, Jack shares his top 10 mistakes in the industry — the lessons that shaped him as a young CEO navigating rapid growth, operational challenges, team building, and the realities of scaling service-based businesses.Enjoy!⭐️ Links & Show NotesVacation Rental SecretsBrooke PfautzJack ZoppaHaven Vacation Rentals Tendwell Cleaning Co.

In this episode of the Ageless Future podcast, host Cade Archibald sits down with Dr. Brandon Burke to explore his journey from building multiple successful orthodontic practices to stepping into a new chapter focused on coaching and personal development. Brandon shares how growing up in a small Utah town shaped his drive, what it looked like to build a practice from scratch during the recession, and the moment he realized his achievements weren't the same as fulfillment. The conversation dives into themes of identity, burnout, resilience, and “unbecoming”—letting go of external validation to reconnect with purpose, emotional awareness, and grounded leadership in family and community. Brandon closes with a message about choosing to live as a creator rather than a victim, and how his most difficult season became the turning point that helped him realign his life.BRANDON BURKE:Websites: gettinlostisbeingfound.com and more-than-love.comIG: https://www.instagram.com/gettinlostisbeingfound/FB: @safetobeseenTikTok: https://www.tiktok.com/@gettinlostisbeing/YouTube: Safe To Be Seen~ https://youtube.com/@safetobeseenPodcast: https://podcasts.apple.com/us/podcast/safe-to-be-seen/id1817823527AGELESS FUTURE:Book Comprehensive Labs: https://agelessfuture.com/longevity-labs/FREE copy of The Peptide Blueprint: https://agelessfuture.com/blueprintSign up for future Health Accelerator Challenges calls LIVE! https://us02web.zoom.us/webinar/register/WN_YZsiUMOzSyqcE8IinC5YEQ#/registrationBooks: https://www.amazon.com/Books-Regan-Archibald/s?rh=n%3A283155%2Cp_27%3ARegan%2BArchibaldArticles: https://medium.com/search?q=Regan+ArchibaldLIKE/FOLLOW/SUBSCRIBE:YouTube -https://www.youtube.com/@ReganArchibald / https://www.youtube.com/@Ageless.FutureLinkedIn: https://www.linkedin.com/in/regan-archibald-ab70b813Instagram: https://www.instagram.com/ageless.future/Facebook: https://www.facebook.com/AgelessFutureHealth/DISCLAIMER: This video is for educational purposes only and does not provide medical advice, diagnosis, or treatment.  Many of the molecules discussed in this video are research compounds and are not approved by the U.S. Food and Drug Administration (FDA) for any specific medical use, indication, or condition. They are mentioned only in the context of existing scientific literature and ongoing research and are not being recommended, prescribed, sold, or offered through this video.  This content does not endorse or recommend any specific tests, products, procedures, or treatment protocols.References to our clinic are for general educational context only; investigational or non‑approved products are not available for direct ordering or prescribing based solely on viewing this content.  Do not start, stop, or change any medication, peptide, or supplement based on this video. All medical decisions must be made with a licensed prescribing clinician after a proper evaluation. No provider–patient relationship is created by viewing this content or contacting our clinic.  Regan Archibald is a Licensed Acupuncturist and longevity coach. He is not a medical doctor. Cade Archibald is COO and Co-Founder of Ageless Future, also not a medical doctor. All medical decisions, lab ordering, and prescribing in our clinic are performed only by our licensed medical team (MD, APRN, PA).  Viewers should follow the guidance of their own licensed clinicians and local health authorities regarding diagnosis and treatment decisions.

Are we in a News Media Golden Age, or a fragmented era? In this “Generational Divides” episode, Reason editor-at-large Nick Gillespie brings together Baby Boomer, Millennial, and Gen Z voices to debate how our media landscape is changing. Are more platforms expanding truth, or blurring the line between news and entertainment? Are journalists accountable to funders, audiences, or the truth? As industry shakeups like recent Washington Post layoffs signal change, what does the future of news media look like?  For Baby Boomers: Kurt Andersen, Novelist, and Former Host of NPR's "Studio 360"; Co-founder of Spy magazine  For Millennials: Nellie Bowles, Journalist & Co-Founder of The Free Press   For Gen Z: Rachel Janfaza, Journalist & Founder of The Up and Up Substack; Contributor to The Bulwark  Nick Gillespie, Editor-at-Large at Reason, is the guest moderator.  Join the conversation on Substack—share your perspective on this episode and subscribe to our weekly newsletter for curated insights from our debaters, moderators, and staff.  Follow us on YouTube, Instagram, LinkedIn, X, Facebook, and TikTok to stay connected with our mission and ongoing debates.   Learn more about your ad choices. Visit podcastchoices.com/adchoices

Chris Kline is the COO & Co-Founder of Bitcoin IRA. In this conversation, we discuss how wealthy investors use retirement accounts to reduce taxes, why volatility can create opportunities like Roth conversions, and the mistakes people make by holding assets in the wrong account. We also cover bitcoin in retirement portfolios, estate planning strategies, and how macro conditions like inflation, deflation, and Fed policy may impact long-term asset allocation.========================Award-winning Fountain Life - Energy supercharged. Memory sharper. Life extended. Ready for the best investment you'll ever make? Schedule a life-changing call at FountainLife.com/Pomp Get $1,000 off the cost of a life-changing membership with Fountain Life when you schedule a call at FountainLife.com/pomp========================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/========================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.========================0:00 - Intro1:55 – How to use the tax code to get in better position2:51 – How 401(k)s replaced pensions (why it mattered) 6:20 – Tax advantages of non-W2 income & retirement accounts 9:08 – Long-term asset allocation & bitcoin in retirement 13:12 – Using Roth conversions during bitcoin drawdowns 21:10 – How taxes create massive long-term performance drag 22:39 – Borrowing against bitcoin instead of selling 28:29 – Inflation, deflation, & why government data lags reality 33:15 – What macro headwinds mean for assets and portfolios 36:38 – Bitcoin IRA tools, incentives, & next steps

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Co-Hosts: Ben Criddle (@criddlebenjamin)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

This week on Gamertag Radio, Danny Peña and Riana Manuel-Peña sat down with the Director of MediaWise, Alex Mahadevan and Co-Founder and Host of LNI, Dave Jorgenson. In this episode we discuss how to spot misinformation, fake news, and AI deepfakes before they trap you. Tired of being misled? Want to protect your community? Learn to verify viral clips, understand algorithms, and engage in civil conversations from the experts. Thanks to Mediawise for giving us the opportunity to share this episode with our GTR audience.Send us questions - fanmail@gamertagradio.com | Speakpipe.com/gamertagradio or 786-273-7GTR. Join our Discord - https://discord.gg/gtr chat with other GTR community member.

AI is moving fast. Most hobby businesses are not.In Episode 6 of Built for the Hobby, Brett sits down with Scott Lock, CEO and Co-Founder of InfernoRed Technology, to talk about what AI means for hobby operators in 2026.This is not hype.This is practical.Scott breaks down:Why most businesses are underusing AIWhere small hobby shops can remove friction todayHow automation can protect your marginsWhy waiting is the riskiest strategyHow to think about AI without chasing shiny objectsIf you run a $500K shop or a $5M operation, this conversation is about you.AI will not replace your business.But someone who learns how to use it might.If you are AI-curious but stuck using ChatGPT like Google, this episode gives you a clear next step.Built for the Hobby is about one thing: helping operators think better and build smarter.Check out the awesome software that InfernoRed Technology can build for you.Get your free copy of Collecting For Keeps: Finding Meaning In A Hobby Built On HypeStart your 7 day free trial of Stacking Slabs Patreon Today[Distributed on Sunday] Sign up for the Stacking Slabs Weekly Rip Newsletter using this linkFollow Stacking Slabs: | Twitter | Instagram | Facebook | Tiktok ★ Support this podcast on Patreon ★

Tim Beattie is the Co-Founder of Stellafai, a platform and coaching model that helps leaders and consultancies align around measurable outcomes and scale their impact without increasing headcount.After 25 years in professional services — including global leadership roles at Red Hat and IBM — Tim has pioneered an outcome-driven, asynchronous coaching approach that replaces the traditional billable-hour paradigm with a lean, repeatable operating system.Listen Now to discover, "How To Scale Your Impact Without Increasing Headcount."#smallbusinessowner #millionairemindset #motivationdaily #successmindset #wintheday

Impact of Feedback: When employees believe their feedback is actually used to make improvements, they are 37% less likely to look for a new job. Pew Research Center On average, engaged employees see a 20% individual performance improvement and an 87% reduction in the desire to leave.   A  2024 research Survey with The Harris Poll found that managers play a critical role in moving employees from burned out and checked out to thriving. For employees who say they are thriving, the top indicator is a manager who is "invested in their success." Employee thriving is driven by three key drivers:   Stephen Baer is the Co-Founder and Managing Partner of Engagency, a firm built on his core belief that human engagement is the engine of business performance. He leads a team of behavioral experts who help organizations build meaningful, measurable connections with their workforce and customers. With a 30-year career focused on the science of connection, motivation, and activation, Stephen brings a rare blend of behavioral insight, creativity, and operational discipline. He previously co-founded and led The Game Agency, a learning and engagement company acquired by ELB Learning, and held sales and marketing leadership roles at Atari and General Electric, where he was a Six Sigma Black Belt Certified and a recipient of GE's Global Marketing Excellence Award. Stephen has served on the Board of ELB Learning and the Advisory Board of the Life Sciences Trainers & Educators Network (LTEN), and was a contributing writer for the Forbes Human Resources Council for six years, sharing insights on engagement and organizational growth. The author of the book, "Stickology: How to Build Unbreakable Connections with Employees and Customers for Life," and two children's books (Catastrophe in the City and The Doghouse), Stephen holds a BA from Oberlin College and an MBA from Columbia University.      For more information: https://stephenbaer.com/ Get the book: https://www.amazon.ca/Stickology-Unbreakable-Connections-Employees-Customers/dp/9699592532. Learn more about your ad choices. Visit megaphone.fm/adchoices

There is a question that sounds almost embarrassingly simple. After a vulnerability is discovered in a piece of widely used software — something like Log4Shell, which shook the security world and left hundreds of thousands of organizations exposed overnight — the question organizations scrambled to answer was this: where is this code, and what does it touch? Most couldn't answer it. Not the Fortune 500 companies. Not the government agencies. Not the critical infrastructure operators. Not the hospitals or the banks or the utilities. They had built and bought mountains of software over years and decades, and when the moment came to understand what was actually inside it, they were effectively blind. That gap is exactly what Daniel Bardenstein set out to close when he co-founded Manifest Cyber in 2023. And in a conversation on ITSPmagazine's Brand Highlight series, he made a case for technology transparency that is hard to argue with — not because it's technically complex, but because the analogy he draws is so strikingly obvious once you hear it. "If you want to buy a house, you get to go inside the house, do the home inspection," he said. "You want to buy food from the grocery store — you can look at the ingredients. Even our clothes tell you what they're made of, how to care for them, and where they're from." But software? The technology running hospital MRI machines, weapon systems, financial infrastructure, water delivery? No transparency required. No ingredient label. No inspection rights. Just trust. That trust, as Log4Shell demonstrated, is a vulnerability in itself. Bardenstein came to this problem with credentials that few founders in the space can claim. Before starting Manifest, he spent four and a half years in the US government leading large-scale cyber programs and serving as technology strategy lead at CISA — the Cybersecurity and Infrastructure Security Agency. He saw firsthand how defenders are perpetually at a disadvantage, operating without the basic visibility they need to do their jobs. His mission became building the tools to change that. The problem, he's quick to point out, has not improved in the years since Log4Shell. Software supply chain attacks have multiplied — XZ Utils, NPM Polyfill, and others following the same pattern: trusted software becomes the attack vector, and it spreads fast. Meanwhile, most security teams are still operating with SCA tools that generate noisy, overwhelming alerts and vendor risk programs built on Excel spreadsheets and questionnaires rather than actual empirical data about the security of what they're buying. "Security teams have a false sense of security," Bardenstein said. The gap between what organizations think they know and what they actually know about their software supply chains remains dangerously wide. Manifest Cyber addresses this across the full lifecycle. For organizations that build software, the platform maps every open source dependency, assesses it for risk, and ensures developers can write more secure code without losing velocity. For organizations that buy software — which is everyone — it finds risks before procurement, then continuously monitors every third party component so that when something breaks, they know the blast radius in seconds, not weeks. The timing matters. Regulation is catching up to the problem. The EU AI Act, the Cyber Resilience Act, and a growing body of global policy are beginning to demand exactly the kind of software supply chain transparency that Manifest is built to provide. Organizations that wait to build this capability will find themselves scrambling to comply — those that build it in now will have it as a competitive advantage. The ingredient label for software has always been missing. Manifest Cyber is writing it. ________________________________________________________________ Marco Ciappelli interviews Daniel Bardenstein, CEO & Co-Founder of Manifest Cyber, for ITSPmagazine's Brand Highlight series. HOST Marco Ciappelli — Co-Founder & CMO, ITSPmagazine | Journalist, Writer & Branding Advisor

This week, we're joined by Alexis Gauba, Co-Founder of Raindrop, an AI native observability platform built for agents in production.Alexis breaks down why operating agents is fundamentally different from monitoring traditional software. As systems shift from deterministic code to probabilistic behavior, dashboards alone are not enough. Teams need to detect unknown issues, track signals like forgetting, and understand long agent trajectories across millions of AI events.We discuss why agent observability has become essential over the past year, what makes agent infrastructure distinct from prior platform shifts, and when internal tooling stops scaling. Alexis also explains Raindrop's approach to production monitoring, combining explicit signals with automated detection to help teams not just find issues, but fix them.Episode chapters:2:05 - Founding Raindrop3:54 - Building with Close Friends5:44 - What Raindrop Actually Does7:45 - The Reliability Challenge of Agents9:55 - Monitoring Agents at Scale14:45 - Experiencing the Pain Firsthand18:00 - The Rise of Agent Infrastructure22:17 - Internal AI Use Cases24:07 - Hiring for Initiative and Ownership28:30 - The Power of Multitasking32:06 - Quick Fire Round This episode is brought to you by Grata, the leading deal sourcing platform for private equity. Grata's AI powered search, investment grade data, and intuitive workflows help you find and win the right deals faster. Visit grata.com to book a demo.This episode is also sponsored by Overlap, the AI powered app that uses LLMs to surface the best moments from any podcast. Overlap reads full transcripts, finds the most relevant clips, and stitches them into a personalized stream of insights. Tap into podcasts as a real information source with Overlap 2.0, now available on the App Store.

What happens when you take a centuries-old, traditional industry and inject it with vibrant color? This week, Cassie sits down with Alice Carroll, Co-Founder of Foxes Bow Irish Whiskey, to discuss the art of strategic disruption. Alice breaks down her journey from "stealthily stealing secrets" at major whiskey multinationals to launching an independent brand that refuses to play by the rules. We explore how being the "only woman at the table" became her greatest creative advantage, the tactical data she used to get retailers to say "yes" to a non-traditional design, and why she believes distinctiveness is more valuable than differentiation in 2026. Whether you're an entrepreneur in a "stiff" industry or a marketer struggling to find your authentic voice on camera, Alice's "warts-and-all" approach to brand building is the shot of inspiration you need.Key Takeaways:// Why looking at adjacent industries (and what your target audience follows on Instagram) is more effective than looking at your direct competitors when designing a brand.// How Alice leveraged her perspective as an "outsider" in a male-dominated category to spot the massive white space that legacy brands were too risk-averse to touch.// How to use consumer research and "hard facts" about audience pain points to convince conservative stakeholders to approve bold, eclectic designs.// The secret to building a brand that is instantly recognizable on any shelf or social feed, regardless of the context.// Why Alice is betting on a 2026 trend toward vibrancy, color, and "social middle-ground" wellness over the beige, minimalist extremes of recent years.// Why "boring" behind-the-scenes failures (like 20 misprinted billboards) often drive more engagement and trust than polished, high-production brand content.// Advice for the "camera-shy" on how to park your ego and let your audience's engagement dictate your content strategy.Connect with Alice: InstagramLearn More About Foxes Bow: Website____Join the MHH Collective! The MHH Collective is a community for marketers and business owners to connect, ask real questions, and grow their careers together. Join for access to live Q&As with industry experts, a private Slack community, and ongoing resources: https://www.marketinghappyhr.com/mhh-collectiveSay hi! DM us on Instagram and let us know what content you want to hear on the show - We can't wait to hear from you! Please also consider rating the show and leaving a review, as that helps us tremendously as we move forward in this Marketing Happy Hour journey and create more content for all of you. ⁠Join the MHH Collective: ⁠Join now⁠Get the latest marketing trends, open jobs and MHH updates, straight to your inbox: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our email list!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow MHH on Social: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Thinking of entering into the world of entrepreneurship? Maybe you want to start up your own L&D company or explore hosting workshops or free lance opportunities? On today's episode, we'll chat with Jason Gorman, Founder and CEO of Jack Rabbit LX and Co-Founder and Strategic Advisor for Story As a Service. In this episode, you'll hear about steps to start a business, common challenges, how to feel comfortable with selling, what your first hire should be, how to find clients, how to think about pricing, and more.

At SocialPacific 2025 in North Vancouver, Warren Thompson, Co-Founder and Director at Olo Metrics, sits down with guest host Rachel Thexton to demystify marketing data.Warren explains why most teams don't have a data problem, they have a clarity problem. Instead of obsessing over every metric in the funnel, he shares how focusing on a few “North Star” KPIs can simplify decision-making and drive real growth.From performance marketing and SEO to AI's impact on emerging marketers, this conversation explores how technical skill, strategic thinking, and creative craft must now work together, not in silos.Clearer metrics. Smarter decisions. Stronger teams.Recorded live at SocialPacific 2025 in North Vancouver. Produced by TAKT.

I recorded this episode live in Hong Kong with Wish Wu, Co-Founder and CEO of Pharos Network.We dive deep into what it really takes to build next-generation blockchain infrastructure.Pharos is an EVM-compatible Layer 1 hitting 20,000 TPS on testnet. But speed is not the real story. The real story is their focus on connecting Web2 and Web3. Not just users. But capital. Assets. Institutions.Wish shares his journey from building AntChain at Ant Group to launching Pharos. We talk about tokenizing real-world assets, institutional adoption, product-market fit, and why new Layer 1s must stop copying Ethereum.If you're a founder building in Web3, this episode is essential listening.Key LearningsWhy Hong Kong is regaining momentum as a crypto hub.What Pharos Network is building and why 20K TPS matters.Wish's background at Ant Group and building AntChain at scale.Tokenizing new energy assets and institutional funds.Why most new Layer 1s fail without product-market fit.The rise of purpose-built chains and niche-focused infrastructure.Why speculative crypto alone cannot sustain adoption.The vision for Pharos over the next five years.Launching a VC fund and incubator to grow the ecosystem.Fundraising advice: Stop copying. Find real product-market fit.Connecthttps://www.linkedin.com/in/wishlonger/https://www.pharos.xyz/https://www.linkedin.com/company/pharosnetwork/https://x.com/pharos_network DisclaimerNothing mentioned in this podcast is investment advice and please do your own research.It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Want to move to the USA as a founder, tech professional, or skilled talent? In this episode, we break down the US Immigration Process, including O1 Visa (Einstein Visa), EB1A Green Card, EB2 NIW, H1B Visa, L1 Visa, and more.Fred, Co-Founder of Beyond Border, shares real insights on:How to qualify for an O1 VisaEB1A Green Card requirementsUS work visa vs green card differencesUSCIS approval rates explainedHow to build a strong immigration profileReal visa costs ($8,000 – $15,000 explained)How founders & tech professionals move to the USDocumentation strategy (900-page petition explained)How to prepare 3–5 years in advanceIf you're a startup founder, SaaS entrepreneur, AI developer, software engineer, finance professional, or student planning to move to the US, this video is a must-watch.We also discuss: Immigration challenges during Trump & Biden administration Approval rate myths Visa storytelling strategy How to build your extraordinary profile How to bring your family on dependent visasTime Strap:00:00 – IntroductionMeet Fred | Beyond Border | Why US Immigration Matters02:10 – Fred's Immigration JourneyPersonal Story | Visa Challenges | Embassy Incident05:00 – Why US Immigration Is So ComplexHow Immigration Systems Are Designed07:30 – Two Main Buckets of US Visas ExplainedWork Visas vs Green Cards09:30 – O1 Visa (Einstein Visa) ExplainedApproval Rates | Who Qualifies | Myths vs Reality12:00 – EB1A & EB2 NIW Green Card PathwaysPermanent Residency for Skilled Professionals14:20 – H1B Visa & Other Work Visas BreakdownDifferences Between O1, L1, H1B16:30 – 900 Page Petition? What Does That Mean?Documentation & Narrative Strategy18:30 – How Much Does It Cost? ($8,000–$15,000 Breakdown)Budget Planning & Legal Fees Explained20:00 – How to Build Your Profile (3–5 Year Strategy)Awards | PR | Documentation | Portfolio22:30 – Common Mistakes & Self-Doubt MythAre You “Good Enough” to Apply?24:00 – Final Advice for Founders & Young ProfessionalsStart Early | Document Everything | Think Long TermThis is your complete guide to High-Skilled US Immigration Pathways. Whether you're planning to apply for an O1 Visa, EB1A Green Card, or exploring US work visas — this episode gives you clarity.

Episode 381 of the Football Fitness Federation Podcast is with the CEO & Co-Founder of SKILLCOURT Christian Hasler We discussed: ▫️Cognitive Management in Soccer ▫️Benchmarking Cognitive Loading ▫️Cognitive & Physical Training in Rehab ▫️Brain Training & much more! You can connect with Christian on LinkedIn Keep up to date with the amazing work our sponsors are doing here:⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ Good Prep - thegoodprep.com⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ Discover the power of nutrition at WWW.THEGOODPREP.COM and use code FFF15 for 15% off your first order⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ Hytro - hytro.com⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ Maximise your athletic potential with Hytro BFR. Easier, safer and more practical BFR for squads to prepare for and recover from exercise than ever before.⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ Click the link [[ bit.ly/3ILVsbU ]]⁣⁣ ⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ Join our online community & get access to the very best Football Fitness content as well as the ability to connect with Sport Scientists and Strength & Conditioning coaches from around the world.⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ To get FULL access to all of these & even more like this, sign up to a FREE month on our online community at the link below.⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ www.footballfitfed.com/forum/index.a…⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ Keep up to date with everything that is going on at Football Fitness Federation at the following links:⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣⁣⁣⁣ ⁣ ⁣⁣ X - @FootballFitFed⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ Instagram - @FootballFitFed⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣⁣ ⁣⁣⁣⁣ Website - www.footballfitfed.com

CJ sits down with Mike Jung, Co-Founder and Managing Partner of Founders Circle Capital. They unpack the rise of structured liquidity, how secondaries went mainstream, and what CFOs should know before running a tender. Mike shares lessons from the dot-com era, AI's “super cycle,” and what separates durable growth companies from hype.—SPONSORS:RightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.aiBrex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNMike: https://www.linkedin.com/in/mikjunghttps://www.founderscircle.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/https://www.mostlymetrics.com—TIMESTAMPS:1:08 Founder Circle origin3:15 The founder liquidity insight5:16 Staying private longer problem6:04 Secondary market control vs chaos8:44 Secondaries over IPOs10:12 Liquidity keeps VC alive11:27 Ask Jeeves dot-com lesson12:26 $190 to $1 + AMT reality13:10 Sponsors — RightRev | Rillet | Tabs16:39 Private share opacity risk20:25 Founder + employee liquidity playbooks21:55 Early investors need liquidity too22:31 Cap table math actually matters24:17 SPV fee stacking insanity25:37 Sponsors — Abacum | Brex | Metronome28:54 Tender offer guardrails30:09 Minimum vs maximum liquidity balance33:01 Growth stage sweet spot + IPO bar rising34:17 AI Cambrian explosion34:58 Buying fear vs buying hype36:29 AI growth sustainability37:19 Founder-led advantage + product velocity38:47 TAM is created, not measured41:06 Anti-portfolio lessons43:01 What is a supercycle44:34 Do supercycles end in crashes?46:16 AI's unprecedented adoption curve48:31 Community as a moat52:50 Earning the right to be on the cap table

In this episode, Adam Torres interviews Kala Laos, Co-Founder & CEO of Zoodealio, live from a WEConnect LA event in downtown Los Angeles. Kala shares how Zoodealio helps homeowners and agents compare cash offers through a transparent marketplace, simplifying the selling process and adapting to changing consumer behavior and AI-driven trends. About Zoodealio At Zoodealio, they're redefining real estate with AI-driven technology that empowers homeowners and agents. Their goal is to simplify transactions, provide instant clarity, and give homeowners the tools to confidently control their future. They are not just changing real estate—they're shaping its future. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: https://missionmatters.lpages.co/podcastguest/ Visit our website: https://missionmatters.com/ More FREE content from Mission Matters here: https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, Adam Torres interviews James Rembert, Co-Founder of WEConnect LA, live from a downtown Los Angeles WEConnect LA event. James shares the origin of the community, his approach to coaching and implementation, and how WEConnect LA brings entrepreneurs together to collaborate, learn, and apply AI and emerging tech in practical ways. About James Rembert James founded DigitalNatives Inc. and now specializes in RAG agents, agentic development, and marketing strategy. But his story actually starts in a pretty different place: as a licensed realtor in New Jersey. What started as solving his own lead generation challenges turned into something much bigger. He didn't just crack the code for his business. He actually changed how real estate marketing works by making lead generation not only easier to understand, but genuinely accessible through training. Now he's helping other professionals navigate the same challenges he once faced, but with a lot less confusion and a lot more clarity. About of WEConnect LA Designed to help leaders build brands that fascinate, generate revenue, and scale with intention- creating real impact across business, real estate, and the communities they serve. Follow Adam on Instagram at https://www.instagram.com/askadamtorres/ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: https://missionmatters.lpages.co/podcastguest/ Visit our website: https://missionmatters.com/ More FREE content from Mission Matters here: https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

Measuring AI marketing ROI has become one of the most uncomfortable conversations in tech and marketing teams. Everyone knows AI is "important." Fewer teams can explain what success actually looks like. Even fewer can tie adoption to real outcomes rather than experimentation for its own sake. For developers and technical leaders, this isn't a tooling problem — it's a decision-making problem. The teams that win are the ones that slow down just enough to define value before they ship. About Meeky Hwang Meeky Hwang's journey resonates with entrepreneurs, technical leaders, and anyone navigating the intersection of technology and business. As CEO and Co-Founder of Ndevr, a digital solutions development agency, Meeky brings over 20 years of experience building resilient, scalable platforms for organizations including Johnson & Johnson, Pfizer, Forbes, PMC, and Bloomberg. Her work goes beyond website development—she focuses on long-term digital solutions that improve performance, streamline workflows, and align technology with business strategy. Equally important is Meeky's perspective as a woman leading in a male-dominated industry. She has navigated the challenges of technical leadership, entrepreneurship, and scaling a services business while building credibility and strong teams along the way. Her experience offers an honest look at what it takes to grow as a leader without losing sight of innovation, people, or purpose. Follow on LinkedIn and her Website. Measuring AI marketing ROI when the hype is louder than the data AI adoption today often starts with pressure instead of purpose. Tools arrive before goals. Budgets get approved before success criteria exist. That's the first red flag. If you can't articulate what improvement AI is supposed to create — conversion lift, content velocity, operational savings, personalization accuracy — you're not measuring ROI. You're chasing momentum. Measuring AI marketing ROI by defining outcomes before tools The most effective teams reverse the typical process. They define outcomes first, then ask which capabilities might support those outcomes. That discipline alone filters out most bad investments. Before selecting tools, answer three questions: What problem are we solving? How will we measure improvement? What happens if this fails? If those answers feel vague, that's your signal to pause. Measuring AI marketing ROI with clear baselines and success metrics ROI requires comparison. Without a baseline, every result looks impressive — or disappointing — depending on expectations. Establish: A pre-AI performance baseline A specific success threshold A review window short enough to stop bad bets early This turns AI from a belief system into an experiment with guardrails. Measuring AI marketing ROI without wasting budget on "maybe" features Not every feature deserves implementation just because it exists. Time and money are always the real constraints. Teams that succeed evaluate AI features the same way they evaluate architecture decisions: cost, risk, effort, and impact. When those tradeoffs are visible, priorities clarify quickly. Measuring AI marketing ROI while Google, SEO, and platforms keep shifting AI doesn't exist in isolation. SEO changes, platform updates, and algorithm shifts constantly reshape the playing field. That makes flexibility more valuable than novelty. Incremental improvements that survive change often outperform bold implementations that lock teams into fragile solutions. Measuring AI marketing ROI alongside compliance requirements and regional rules Global websites introduce real constraints — privacy, consent, accessibility, and regulatory differences. AI features that ignore compliance increase risk faster than they increase value. Measuring AI marketing ROI with a repeatable compliance checklist A checklist-driven approach ensures new features don't break trust or regulation: Regional consent and privacy rules Accessibility requirements Data handling expectations This protects ROI by preventing costly rework. Measuring AI marketing ROI through discovery, QA, UAT, and launch checklists Strong discovery reduces downstream chaos. Structured QA and UAT validate assumptions. Launch checklists prevent avoidable mistakes. AI doesn't replace these fundamentals — it amplifies their importance. Measuring AI marketing ROI as a founder: delegate, stay lean, and still scale Technical founders often delay hiring because they can do the work themselves. That works — until it doesn't. Sustainable ROI requires delegation. Growth depends on trusting others to execute while leaders focus on direction, not tickets. Callout: AI ROI Scorecard Define outcomes, baselines, and review windows before implementation Decide early whether to pilot, pause, or proceed Callout: Website Launch Checklist (Minimum Viable) QA, UAT, accessibility, and responsiveness checks Hosting, CDN, and integration validation Callout: Delegation Rules for Technical Founders Decide what you keep vs. hand off Train once, so execution scales later Conclusion Measuring AI marketing ROI isn't about skepticism — it's about clarity. When teams define value first, use disciplined checklists, and resist hype-driven decisions, AI becomes a multiplier instead of a distraction. If you want better outcomes, start with better questions — and build from there. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Online Communities and Marketing Creating your Marketing Site Branding and Marketing Fundamentals with Kevin Adelsberger Develpreneur - Forward Momentum Podcast Videos – With Bonus Content

Gm! In today's episode we have a 0xResearch crosspost where they were joined by Lucas Bruder, Co-Founder of Jito Labs to discuss Jito's BAM block builder on Solana, highlighting transparency, verifiability, and application-controlled execution. They also cover market structure, stake adoption, MCP, slot time reductions, and JitoSOL's ETF efforts. Enjoy! -- Follow Lightspeed: ⁠https://twitter.com/Lightspeedpodhq⁠ Follow Jito Labs: https://x.com/jito_labs Follow Lucas Bruder: https://x.com/buffalu__ Follow Sam: https://x.com/minnus Follow Carlos: https://x.com/0xcarlosg Follow Boccaccio: https://x.com/salveboccaccio Follow Danny: https://x.com/defi_kay_ Join the Lightspeed Telegram: ⁠https://t.me/+QHlbNTNS4gc1ZTVh -- Join us at DAS (Digital Asset Summit) in New York City this March!  Use the link below to learn more, and use code LIGHTSPEED200  to get $200 off your ticket! See you there! Learn more + get your ticket here: https://blockworks.co/event/digital-asset-summit-nyc-2026 -- Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (1:54) Why Jito Built BAM (5:50) Application-Controlled Execution Explained (11:30) MCP and Solana's Future (15:56) BAM Adoption and Stake Growth (33:13) Cutting Slot Times on Solana (40:28) JitoSOL and the ETF Push (47:09) AI, Products, and the Road Ahead (50:40) Closing Comments -- Disclaimers: Lightspeed was kickstarted by a grant from the Solana Foundation. Nothing said on Lightspeed 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. Danny, and our guests may hold positions in the companies, funds, or projects discussed.

What if the future of sustainable manufacturing required no sugar feedstocks, generated minimal waste, and operated carbon-neutral from day one? Ocean-derived cyanobacteria are making this possible—but the path from promising strain to profitable business is littered with synthetic biology casualties. This episode reveals the strategic decisions that separate winners from failures.In Part 2, Tim Corcoran, CEO and Co-Founder of Deep Blue Biotech, exposes the hard truths about commercializing photosynthetic manufacturing: why most synthetic biology companies died when capital dried up in 2023, which infrastructure gaps nearly derail cyanobacteria scale-up, and why building one facility beats building ten. With three decades navigating commercial biotech and operations, Tim shares the disciplined commercialization framework that transforms scientific breakthroughs into economically viable platforms.Topics covered:The strategic advantage of B2B commercialization in consumer care biotech (02:46)Overcoming infrastructure limitations for photobioreactor scale-up and partnering with specialized CMOs (04:50)Building a pilot facility and moving toward technology licensing for global reach (05:33)Location choices for production facilities—comparing natural light, skilled labor, and electricity costs in Portugal and Iceland (08:57)Impact of electricity usage for LED-supported photosynthesis on business viability (10:45)What distinguishes successful laboratory-to-market biotech companies from those that fail, especially in challenging financial environments (11:53)Practical advice for scientists considering entrepreneurship, including partnering with business-minded collaborators and exploring university innovation programs (14:08)Speculation on the broader applications and future of synthetic biology, from biofuels to biodegradable materials and CO₂-absorbing products (15:27)The importance of aligning technical innovation with commercial expertise to create enduring impact (16:38)Strategic insight:Breakthrough science needs disciplined commercialization. Align what your technology naturally excels at with market needs, start where value is highest, and leverage partnerships to scale. As Deep Blue Biotech shows, this is how innovations move from the lab to making a real-world impact.Explore the full story and hear Tim's advice for both founders and innovators.If you're interested in other unconventional biological platforms reshaping biomanufacturing, don't miss:Episode 163-164: How Moss Enables Production of Unproducible Protein Therapeutics with Andreas SchaafEpisodes 141-142: How Microalgae Cuts Antibody Costs by 70% and Redefines Biomanufacturing with Muriel BardorConnect with Tim Corcoran:LinkedIn: www.linkedin.com/in/tim-corcoran-5b10121/Deep Blue Biotech: www.deepbluebiotech.comNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

Welcome back to the Alt Goes Mainstream podcast.Today's episode dives into how data and market structure are shaping private markets.We sat down in MSCI's New York office with Luke Flemmer, the Head of Private Assets at MSCI to discuss how standardization and normalization of data can help bring efficiency, transparency, and liquidity to private markets.Luke brings a unique perspective to private markets. He was previously Managing Director, Head of Digital Strategy for Alternative Investments at Goldman Sachs Asset Management, and was Co-Founder and CEO of Lab49, a global solutions provider of investment and risk technology to asset managers and investment banks.When the ION Group acquired Lab49, Luke became Co-Head of ION's Capital Markets Division, delivering software and solutions to the group's global financial services customer base.Earlier in his career, Luke worked in the fields of robotics and artificial intelligence. He is a CFA charterholder.Luke and I had a fascinating conversation about private markets market structure and how MSCI is playing a role in driving standardization, normalization, and transparency of data in private markets. We covered:Parallels to market structure evolutions in equities, fixed income, FX, and derivatives.Tradeoffs of transparency for private markets participants.What it will take to build transparency and price formation in private markets.Where investors will still be able to find durable alpha.What standardization and normalization of data means for secondary markets.Analogies between Greek mythology and private markets.How secondaries has gone from a trade to a portfolio management tool.How index creation will impact private markets.Thanks Luke for sharing your wisdom, expertise, and passion at the intersection of private markets and market structure.Show Notes00:00 “Data Wants to be Free”00:28 Welcome to the Alt Goes Mainstream Podcast01:02 Sponsor Spotlight: Ultimus Fund Solutions01:57 Private Markets, Data, and Market Structure02:17 Meet MSCI's Luke Flemmer04:26 From Robotics to Finance: Automation Needs Standardization05:18 Fixed Income's Transformation: From Trading Floors to E-Trading06:42 Connecting the Data Across the Lifecycle07:58 Harmonized Data → Transparency → Liquidity08:44 Scaling vs Information Asymmetry10:38 What More Transparency Does to Returns and Alpha11:15 Benchmarking Privates Like Publics: PMEs and Comparable Data12:35 Manager Skill and Illiquidity Premium14:14 Company-Level Data & Bilateral Origins16:19 The Ship of Theseus Parable and Should Privates Become Public?23:17 COVID, Denominator Effect, and LP Scrutiny23:50 The New Baseline for Private Funds24:15 Wealth Channel Tailwinds and the Rise of Active LP Portfolio Management25:23 Using Public Liquidity to Balance Private Illiquidity26:15 The 85/15 Public-Private Index: Why Blend Public Equity with Private Equity27:16 Daily Pricing Private Equity: Solving the “Stale Marks” Problem28:15 Smoothing, Stickiness and Forced Secondary Sales29:20 What Tech/Data You Need to Nowcast PE Daily (and What's Still Missing)30:31 Price Formation Feeding Better Indexes31:34 From Secondaries to Derivatives: Lessons from Fixed Income NAVs33:14 Building Trust in Private Benchmarks: Data Scale and Adoption Over Cycles33:53 Unlocking 401(k)s: What Must Be True for Wealth to Go Big in Privates37:05 Liquidity, Suitability, Risk & Factor Decomposition39:05 Durable Private Markets Alpha (and the Index Question)41:51 Standardizing the Language: Defining “Liquidity” and MSCI as the Connective Tissue (Wrap)A Word from Our Sponsor, Ultimus This episode of Alt Goes Mainstream is brought to you by Ultimus, the full-service fund administrator and transfer agent powering asset managers in private and public markets. As alts go mainstream, you need real expertise to handle complex fund structures, connect with key distribution partners, and handle sophisticated compliance, reporting, and transparency demands.That's Ultimus: high-tech, high-touch solutions for over 450 clients and 2,500 funds with $775B in assets under administration. Backed by an expert team of over 1,200 employees, they place client service at the core of their business, helping you navigate complexity during your fund structuring or launch and then supporting you through every stage of growth. Whether you're already in the market or thinking about entering private wealth, you can trust their team's deep expertise in retail alternatives to help you reach your goals.Learn more at ultimusfundsolutions.com or email info@ultimusfundsolutions.com.We thank Ultimus for their support of alts going mainstream.Editing and post-production work for this episode was provided by The Podcast Consultant.

President Trump spoke for nearly two hours during his State of the Union address Tuesday evening, touting the achievements of his first year back in office and addressing voter concerns over healthcare, housing, and much more.   Republican Strategist and Co-Founder of South and Hill Strategies Colin Reed, Former Chief of Staff to the Biden White House Press Office Yemisi Egbewole, and FOX News Congressional Correspondent Bill Melugin join Bret to break down the post-State of the Union atmosphere on Capitol Hill. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Top Story: Nonfiction, Where You At? https://www.thetimes.com/culture/books/article/what-happened-non-fiction-books-publishing-industry-trends-gd9snqwjz If you've noticed that there aren't as many choices when it comes to non-fiction lately, much less the "big idea" books that used to top the bestseller charts over the years, you're not alone writes Ceci Browning of The Times. "Fiction sales might be swelling, but according to Nielsen, sales of non-fiction books in 2025 were down 6 per cent compared with 2024." The non-fiction numbers have been declining since 2017, and the books that do well are no longer big idea books, but books such as celebrity memoirs and self-help guides. Are readers less interested in non-fiction, or just finding the answers elsewhere? "One possibility is that the boom in podcasts has stolen huge chunks of traditional non-fiction audiences," says Browning, explaining that many author appear to 'give away' the most valuable parts of their books on the show. In addition, listeners get the knowledge straight from the author's mouth, distilled down to be understandable to a podcast audience. "Until very recently," says Mark Richards, Co-Founder of Swift Press, "if you wanted to hear about a subject in any kind of depth, a book was the [only] place to go." Then came the internet, says Richards, which made research easier; then came the podcast, which gave readers instant, free easy access to the information, but without the work or cost of buying and reading a book. Others aren't so glum. Literary agent John Ash believes it's possible for non-fiction to be make a comeback. "We have such an apocalyptic outlook," he says, "but actually these things are just broadly really cyclical. In the past six months or so there's been a cultural shift away from […] doomscrolling; towards people reclaiming their attention spans." On how to ensure that non-fiction books recover from today's "easily distracted, cash-strapped, podcast-obsessed era?" Richards says, "We're going to have to, as an industry, just make sure that they're f***ing good." Thanks to Jane Freidman for the hot tip.

On today's episode, we welcome Dr. Julie Chung, Co-Founder of T3 — the prestige hair tool brand that pioneered an entirely new category when it launched the original T3 Featherweight hair dryer in 2004. What began as a simple insight — that premium beauty routines deserved equally high-performing hair tools — evolved into a company that has transformed millions of styling routines through thoughtful innovation, elevated design, and a deep commitment to hair health.Dr. Chung's journey is anything but traditional. While helping conceptualize T3's breakthrough first product and shaping the brand's identity, she was simultaneously building a distinguished career as an eye surgeon specializing in glaucoma. For more than two decades, she balanced medicine, motherhood, and entrepreneurship before returning to T3 in 2023 to help guide the company into its next phase of growth. Her unique dual perspective — rooted in scientific precision and consumer empathy — continues to influence how the brand approaches performance, problem-solving, and product development.In this episode, Dr. Chung shares the origin story behind T3, what it takes to found a category before it exists, and how the company has remained competitive and founder-led in a corporate-dominated market. We discuss identifying whitespace, building a brand without relying heavily on external financing, and why authenticity and storytelling still matter deeply to consumers. Julie also reflects on leadership, longevity in the beauty industry, balancing multiple roles, and the innovation philosophy that has kept T3 relevant for over 20 years. A thoughtful conversation for founders, innovators, and anyone interested in building enduring brands that truly serve their customers. Are you interested in sponsoring and advertising on The Kara Goldin Show, which is now in the Top 1% of Entrepreneur podcasts in the world? Let me know by contacting me at karagoldin@gmail.com. You can also find me @‌KaraGoldin on all networks. To learn more about Dr. Julie Chung and T3:https://www.t3micro.comhttps://www.instagram.com/t3micro/https://www.tiktok.com/@t3microhttps://www.instagram.com/drjuliechung_t3/https://www.linkedin.com/in/julie-chung-t3/ Sponsored By:Upwork - Visit Upwork.com right now and post your job for free and connect with top talent. Check out our website to view this episode's show notes: https://karagoldin.com/podcast/805