Podcasts about moats

Retired Steelers Linebacker, Arthur Moats, starts the show discussing the headlines from Steelers week 1 of training camp, while also highlighting the fans of the show who attended practice! Moats then finishes the show, opening the phone lines to the fans to hear their thoughts on the Steelers 2026 Hall of Honor class plus more!

In this episode of One Vision Podcast, Theo chats with Huyen Tran from US Bank and founder/investor at Elys Ventures. Huyen shares her path from computer engineering and early real-estate investing to two decades in banking product leadership and P&L ownership. She discusses why banks can appear slow due to resilience, regulation, legacy systems, and trust requirements, and how AI will accelerate prototyping, testing, data analysis, and iterative product development while meeting customer expectations for personalization and security amid rising fraud. A must-listen episode on startup, innovation, relationship building, and ecosystem thinking.

Cellnex owns and operates around 112,000 telecom towers across ten European markets, generating recurring, contracted revenue from mobile operators who have few practical alternatives once a site is built.   This episode of In The Know was recorded by GLIO (the Global Listed Infrastructure Organisation), with Cellnex CEO Marco Patuano and Roy Harrison, Investment Analyst in the Magellan Global Listed Infrastructure team. Together they unpack the tower business model and its economic moat, and why Marco believes the market may be mispricing Cellnex's risks. They also cover the drivers of organic growth, the company's shift from debt-fuelled M&A to balance sheet repair and shareholder returns and Marco's view on the investment case as free cash flow builds.   Magellan Investment Partners would like to thank GLIO and Cellnex for the opportunity to bring this conversation to our audience.

Alan Philps profiles Alice Moats, a wealthy American socialite who reinvented herself as a war correspondent during the siege of Moscow. Known for her book No Nice Girl Swears, "Mozy" was often viewed as light entertainment, yet she was a persistent and effective reporter. She famously defied the British ambassador's attempts to evacuate her, hiding in embassy annexes to remain in the city. Philps likens her to the "fool in a Shakespeare tragedy" who exposes the follies of more serious figures. Despite her socialite background, Moats connected with General Anders and was part of the early conversations regarding the Katyn Forest massacre of Polish officers. Her reporting provided a unique window into how the Soviets attempted to manipulate the very people they had oppressed, and Philps credits her for highlighting one of the great tragedies of the 20th century. (6)1920

Jim Thorne previews Intel's (INTC) earnings, arguing that execution—not the headline numbers—will determine the company's future. He explains why investors should focus on AI leaders with strong moats, including Micron (MU), Nvidia (NVDA), and Broadcom (AVGO).======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

What do you do when you've built the technology first and the first customer who tries it tells you it's not working at all?Prashant Warrier is the first PhD and the first scientist on Unstarted. A steel-town kid from Bhilai who went from IIT Delhi to a PhD in AI, he came back to India because of a stolen passport — and built Qure.ai, whose AI reads chest X-rays for TB and lung cancer across the world.In this episode, Avnish and Prashant attempt to answer: 1. How do you identify a unique problem is it about passion or market cap?2. How do you know the technology is actually working? 3. How can founders assess whether they're early, late, or correctly timed for a market? 4. Will frontier AI kill vertical businesses or is there domain-specific stuff left to build? 5. Why build a cutting-edge AI company from Mumbai?This episode is in partnership with TEAM — Tech Entrepreneurs Association of Mumbai.Chapters 00:00 Introduction1:41 Steel town to IIT to a PhD in AI3:20 SAP, and the stolen passport that sent him home6:32 Freedom over the US visa rat race8:17 The 2012 breakthrough that started the company11:43 A research lab with no business plan13:33 "A solution looking for a problem"16:52 The reality check & the real bottleneck19:20 TB screening: 4 weeks to 30 seconds21:43 Detecting lung cancer early with AI24:23 Moats, ChatGPT & the future of AI in healthcare32:04 Why Mumbai, and advice to founders

Stories:* ⭐ Messi's Ties to Bibi, IDF & Unit 8200, Croc-filled MOATS, BOMBING Civilian Infrastructure in Iran* ⭐ Dystopia is Here, and This is Just ONE Nightmare Scenario* ⭐ Indie Reads the Unlimited Hangout Article About Polymarket (3rd hour)* ⭐ Grand Jury for UAW's Fain, ICE Kills 2, Google Employee RESIGNS over Pentagon AI Deal, Beat Big TechFor the links to all the articles & videos shown on the show plus the links to watch/share on every other platform, click here: https://www.indiemediatoday.com/p/indie-news-now-live-links-07-21-26?r=539iuHelp fund the media you want to see! Indie Media Today and Indie News Network operate on a “Value for Value system.” Everything we do is free to all. We don't paywall our content, but we do need - and deeply appreciate - your support in order to keep running. One way to do that is with a monthly or annual subscription here.A $5/mo subscription here or on Ko-Fi.com helps us continue to produce quality content that challenges mainstream corporate funded narratives & amplify independent voices.Please support your favorite Indie Media creators! IndieNewsNow LIVE! covers stories corporate media doesn't want to tell, and from an angle they would NEVER tell it. Each episode, we showcase the work of dedicated independent reporters, researchers, and grassroots news outlets who are digging deeper on issues that matter, free from advertiser and corporate influence. Break free from the media focused on the duopoly and discover the news you're not supposed to see.Perfect for viewers who:* Are skeptical of corporate-controlled news narratives* Want to be more deeply informed on critical issues* Believe in supporting independent journalism* Feel like there's always more to the storySubscribe to IndieNews Network (INN) and hit the bell

"The secret ingredient nobody talks about in success? It's the tiny things you do every day to show up better."

Welcome back to the Alt Goes Mainstream podcast.We were live from Berlin, which becomes the “capital of private capital” in June as the private equity's industry leaders make the annual pilgrimage to the city for one of the marquee private equity conferences, SuperReturn Berlin.Much of the SuperReturn conference is centered on fundraising. GPs take up every available space — from hotel rooms to Tiny Space cabins that line the parking spots on Budapester Strasse outside of the InterContinental conference venue — to conduct meetings with LPs.With Prosek Partners and former Bloomberg TV journalist Deirdre Bolton as my producer, along with her team, we took over a Tiny Space cabin to hold big conversations with some of the industry's leading alternative asset managers.Our first conversation was with Apax Co-CEOs Andrew Sillitoe and Mitch Truwit.Apax is one of the pioneers in the private equity industry. The firm's rich history dates back to the 1970s, when its founders, Alan Patricof (US), Sir Ronald Cohen (UK), and Maurice Tchénio (France), came together to establish the first US-UK partnership firm in private equity. During that time period, the firm backed Steve Jobs and the first iteration of Apple. The UK and US firms merged in 1981, laying the foundation for Apax.Today, Apax stands at over $80B in aggregate funds raised. The firm underwent its second leadership transition in 2014, when Andrew and Mitch were elected as Co-CEOs, succeeding Martin Halusa, who became Chairman.Apax sits in a unique position. They are a scaled platform that focuses on the middle market. They operate across three sectors, Tech, Services, and Digital / Consumer, infusing a digital DNA and value creation team into everything they do. Their platform spans “a mile wide and a mile deep,” which is what much of the conversation between Andrew, Mitch, and me unpacked.We had a fascinating discussion about the current state of private equity and the middle market, why Apax focuses on “density-driven business models,” why the firm focuses on carveouts in the middle market, what's underappreciated about the middle market, why it's important to “buy in the right neighborhood and fix it up,” and how the firm's core values of “having impact through insight and tenacity” drive every decision they make.BiosAndrew Sillitoe has been Co-CEO of Apax since 2014. He is Chairman of the Apax Global Investment Committee and the Digital Investment Committee, amongst others. He is also a member of the Apax Executive Committee. He has been based in London since joining the Firm in 1998, focusing on Tech & Telco investments.Andrew has been involved in a number of investments including Inmarsat, Intelsat, King, Orange Switzerland, TIVIT, TDC and Unilabs.Prior to joining Apax, Andrew was a consultant at LEK. Andrew holds an MA in Politics, Philosophy and Economics from the University of Oxford and an MBA from INSEAD.BoardsAndrew has previously served on the boards of Inmarsat, King, Intelsat, Orange Switzerland and TDC.Mitch Truwit is Co-CEO of Apax, based in New York.Prior to joining Apax in 2006, Mitch was the President and CEO of Orbitz Worldwide between 2005 and 2006 and was the Executive Vice President and Chief Operating Officer of priceline.com between 2001 and 2005.Mitch is a graduate of Vassar College where he received a BA in Political Science. He also holds an MBA from the Harvard Business School.BoardsMitch serves as a Board member of Openlane and Trade Me. Prior boards include Advantage Sales & Marketing, Assured Partners, Dealer.com, Bankrate, Garda World, Hub International, Trader Canada, Boats Group and Quality Distribution Inc.Mitch serves on the charitable boards of the Apax Foundation, the John McEnroe Tennis Project, Posse and StreetSquash.Thanks, Andrew and Mitch, for a fascinating conversation and for sharing your expertise, wisdom, and passion at the intersection of investing and operating in private equity.Show Notes00:00 Meet Apax co-CEOs, Andrew Sillitoe and Mitch Truwit00:26 Andrew's Origins at Apax00:47 Private Equity Then vs Now01:25 Apax Growth and Values01:45 Curiosity as a Differentiator02:04 Mitch's Operator Background02:56 Why Mitch Joined Apax03:40 Defining the Middle Market04:14 Why Sub-Billion EV Works04:59 Middle Market Talent Gap05:20 Carve Outs as a Strategy05:29 TRADER Corporation - Canada App Turnaround06:12 Scaled Platform Advantage07:14 Digital DNA and AI Wave07:50 Top Line Growth Lever08:36 Add-ons and TAM Expansion09:33 ECI Case Study Roll Up10:07 Integration Over Collection10:28 Exit Options in a Bigger PE World10:59 Building for Multiple Buyers11:45 Fund Size Discipline12:34 Choosing Returns Over AUM13:16 Understanding Firm DNA14:01 Global Micro Investing14:49 Making Global Pods Work15:50 Scale Specialization Flexibility17:08 Where to Invest Now19:23 Buying Complexity for Value20:15 Moats and Investment Committee22:13 Why Middle Market Excites Them23:19 Future of PE and AI at Scale24:50 Impact Insight Tenacity Culture25:54 Obligation to Dissent Story26:55 Aspirational Brand Analogy27:48 Wrap Up and Thanks

Send us Fan MailPolice Officer Kenny Moats was shot and killed after responding to a domestic violence call at a home near the intersection of Kerrway Lane and Alcoa Trail at approximately 4:00 pm.https://www.youtube.com/@jamesr.howel...https://www.odmp.org/officer/22944-po...https://www.wbir.com/article/news/com...https://www.wvlt.tv/content/news/Man-...https://www.knoxnews.com/story/news/c...https://www.thedailytimes.com/news/ma...

Cybersecurity investor Sid Trivedi of Foundation Capital joins me to dig into AI SOC valuations, services-as-software, moats, and what founders should know heading into Black Hat.Sid is a Partner at Foundation Capital, where he invests at the seed and Series A stage with a focus on cybersecurity and IT infrastructure. This is our annual pre-Black Hat check-in, and a lot has moved since last year, from massive M&A to record-setting rounds in categories like the AI SOC.In this episode:- What has actually changed a year into the AI wave, and what hasn't- Services-as-software, the $4.6 trillion market thesis, and automating cyber workflows across the SOC, IR, pen testing, and threat intel- What AI means for cybersecurity jobs and how practitioners should adapt- Consolidation vs. best-of-breed after Palo Alto's $25B CyberArk deal and Alphabet's $32B Wiz acquisition- AI SOC valuations, including Seven AI's record Series A and Torq crossing a $1B valuation- The double-edged sword of big raises and why founders should be cautious about the valuations they accept- Why you can't simply spend your way to growth in cybersecurity- Moats and defensibility when frontier labs can push into your category- The Black Hat Innovator Investor Summit and the Startup Spotlight competitionChapters:0:00 Intro0:52 What's changed a year into the AI wave2:42 Services-as-software and the AI SOC9:38 AI adoption and forward deployed engineers10:57 M&A, platformization, and best-of-breed14:17 IT and security convergence, plus AI SOC valuations18:48 Seed-stage risk calculus vs. later-stage investors21:43 The double-edged sword of big raises26:20 Why you can't spend your way to growth29:05 Moats and defensibility in the frontier-lab era32:25 Deal flow, pricing, and staying disciplined37:06 Black Hat Innovator Investor Summit40:17 Startup Spotlight competition43:28 Wrap-upBlack Hat is offering listeners $500 off registration with code USA500Resilient.Connect with Sid:LinkedIn: https://www.linkedin.com/in/siddhanttrivedi/Foundation Capital: https://foundationcapital.comResilient Cyber: https://www.resilientcyber.ioSubscribe for more conversations with security practitioners, founders, and leaders.

The following article of the Professional Services industry is: “Moats: How Industrial Businesses Build Enduring Advantage” by Felipe Martinez, Independent Contributor.

Ritavan joins Excess Returns to explain The System Gambit, a new framework for understanding competitive advantage, business strategy, AI disruption and long-term compounding. We discuss why traditional moat checklists can miss the real source of value, how companies can build systems competitors cannot copy, and what investors should look for when AI changes the game.The System Gambithttps://amzn.to/4b0J32IMain topics coveredWhy the traditional moat checklist can fail investorsThe three requirements for a true System GambitHow investors can evaluate business strategy from the outsideWhy code is not always the moat in the age of AIWhat history can teach investors about asymmetry and leverageWhy AI adoption is not the same as AI value creationThe difference between moving fast and understanding the gameLessons from Nokia, ASML, Amazon and WalmartHow intangible investment and J curves can hide long-term valueWhy the best companies build compounding systems competitors cannot copyHow investors can identify companies changing the game rather than optimizing the old oneTimestamps00:00 Opening preview and introduction04:00 The three ingredients of a System Gambit08:49 Why code is not the moat in AI software13:00 Skanderbeg and changing the rules of the game17:00 Good moats, good narratives and asymmetric advantage22:31 Microscope vs telescope as a lesson for AI28:35 AI winners, losers and high dispersion markets32:08 Signal quality, bottlenecks and why AI adoption is not enough36:00 Nokia, agility and the failure to build a causal model40:15 Why understanding the game beats speed44:00 Intangible investment, the J curve and ASML's hidden edge49:54 The contrarian AI thesis behind The System Gambit54:00 How to recognize a real System Gambit58:27 Amazon, Walmart and multi-paradigm compounding1:03:00 Prime, FBA and platform leverage1:07:00 Walmart's answer to Amazon1:11:06 Closing thoughts and where to find Ritavan

Why has there never been a better time to start a company?  How do you know if your company is one that needs investment or one that should be home-grown? What does every entrepreneur need to bring in 2026 just to sit at the table in 2026 that used to be a rarity and an indicator of going above and beyond? Shay Har-Noy is the managing director of Techstars Boulder, and has spent his career  at the forefront of space technology, geospatial data, and AI-driven enterprises, helping to scale complex deep tech solutions from early-stage concepts to global market leaders. Shay dives into what he's learned about deep tech, AI, and company building. He traces his path from a Rice professor's push to pursue a PhD to leading National Geographic–backed expeditions using satellites, drones, LiDAR, and radar to search for Genghis Khan's tomb, which resulted in a documentary series and inspired his startup Tomnod; after partnering with DigitalGlobe/GeoEye, Tomnod was acquired by DigitalGlobe, where Shay oversaw AI efforts, web distribution, and a move from on-prem storage to the cloud.  Shay defines deep tech as businesses with defensible technical IP moats - something beyond software, and argues AI makes prototyping cheaper but shifts investor signals, advises founders to focus on real business risks and whether venture funding fits, and highlights moats like data, integrations, and compliance. Shay and David also note the  growing interest in AI governance and cost control. Let us know you're listening by filling out this form. We will be sending listeners Beyond the Hedges Swag every month. Episode Guide: 01:00 Deep Tech Origins 01:26 PhD Mindset and Curiosity 03:33 From Mongolia to Startup Life 05:23 Tomnod Acquisition and AI Scale 07:34 Rebuilding Techstars Boulder 09:17 What Deep Tech Means 11:48 GenAI Changes Startup Building 15:24 Fundraising Reality and Moats 20:10 Skills for the Next Generation 23:47 Jagged Edge and De-Risking 26:29 Hot Spaces AI Governance 29:04 Genghis Khan's Tomb Update and Rapid Fire Questions 30:37 Rice Box Question Story Beyond The Hedges is a production of Rice University and is produced by University FM. Episode Quotes: Why now is the best time to start a company 16:25: There has never been a better time to build a company than today. You can do so much more with so much less and really de-risk your business. Not just de-risk the product, but de-risk your entire business. For investors and for companies seeking investment, one of my most common conversations I have is, why? Why? Don't raise money because TechCrunch tells you to, right? Because you watched "Social Network" and you want to be like, like somebody on TV, right? Be so, so passionate about, about your value proposition, about your customer. And if you keep them in focus, raising a venture may not be the right thing to do. So I say it's, it's never been a better time or rate to start a company, but not necessarily a venture-backed company. What led Shay to pursue tech innovation?  02:42: So you ask, what led me to pursue these deep tech innovations? It's just understanding and having confidence that I can. There's this cliché, it says, "When you finish your undergrad, you think you know everything. You finish your master's, you realize you know nothing, and when you finish your PhD, you realize nobody knows anything." And I try to take that to heart. Building more isn't always better 27:29: Just because you can build a feature doesn't mean you should. And so being really deliberate around what you're building, how you're using it, because it's not free. And it's useful if it can be really powerful and increase your velocity. You still need to be rigorous around it.  Show Links: RiceOwls.com Rice Athletics The Gateway Project Rice Alumni Association of Rice Alumni | Facebook Rice Alumni (@ricealumni) | X (Twitter) Association of Rice Alumni (@ricealumni) | Instagram  Host Profiles: David Mansouri | LinkedIn David Mansouri '07 | Alumni | Rice University David Mansouri (@davemansouri) | X David Mansouri | TNScore Guest Profiles: Shay Har-Noy | Techstars Profile Shay Har-Noy | LinkedIn Profile Forbidden Tomb of Genghis Khan | National Geographic

From 2010 - Dr. Sandra Moats from the history faculty at the University of Wisconsin-Parkside .... discussing her book "Celebrating the Republic: Presidential Ceremony and Popular Sovereignty from Washington to Monroe." Professor Moats has focused much of her research on the early years of our country. This book examines the decisions made by Washington and his successors which helped to shape how our leaders- and especially how the president - was viewed by the American public.

AGENDA: 00:00 – Google Loses Two AI Legends as Anthropic Wins the Talent War 14:45 – China's $50B DeepSeek Bet Changes the AI Power Balance 27:15 – AI's Memory Crisis Has Begun — Apple Warns of a '100-Year Flood' 30:00 – Wall Street Finally Asks the $725 Billion Question: Who Pays for AI? 41:00 – We Built an AI Finance VP... and It's Better Than Humans 46:30 – The Death of Moats? Why Founders Should Stop Talking About Defensibility 58:30 – Databricks, ServiceNow & the New AI Software Winners 01:07:00 – The Seat-Based SaaS Model Is Dying 01:12:00 – OpenAI's Custom Models Could Rewrite Enterprise Software 01:17:00 – OpenAI's Biggest Threat Isn't Anthropic Anymore  

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... Read more... The post Coach Jeff Podcast #1337 – Moats n Coffee – RFTS26 appeared first on Coach Jeff.

หนังสือ Why Moats Matter: The Morningstar Approach to Stock Investing ของ Heather Brilliant and Elizabeth Collins - คูเมือง คือป้อมปราการที่จะช่วยไม่ให้บริษัทเหล่านั้นเจอคู่แข่งที่เก่งกว่า หรือว่าแข็งแกร่งกว่าตลอดเวลา - บางทีมันอาจจะเป็นสิ่งที่เน้นย้ำว่า เรามีกำแพงที่แน่นหนามากเพียงใด ทนต่อสภาวะวิกฤตได้แค่ไหน อย่างไร - ทุกบริษัท หรือทุกธุรกิจมีเหตุผลในการสร้างมาต่างกัน เราจึงจำเป็นจะต้องหาเหตุผลให้เจอว่า อะไรเป็นสิ่งที่ต้องเน้นย้ำ - ประโยชน์ของคูเมืองก็คือ ราคา สินทรัพย์ไม่มีตัวตน มูลค่าการเปลี่ยนสินค้า ประหยัดต่อขนาด หรือมีอิทธิพลเครือข่ายบ้างไหม - ทั้งนี้ การลงทุนระยะยาวเป็นสิ่งที่ท้าทายอย่างยิ่ง เพราะบางทีมันอยู่ที่จังหวะ ประเทศ และหุ้นนั้นด้วยว่ามีการขยับราคาไปมากน้อยเพียงใด

In this episode, we unpack the consolidation of private practices and the growing influence of Dental Support Organizations. While many independent dentists view consolidation as a threat, Peter and Craig argue it may actually create one of the greatest opportunities the profession has ever seen. They explore the economic forces driving DSO growth, including insurance arbitrage, private equity investment, rising operating costs, and changing ownership models. But beyond the numbers, the conversation focuses on something much more important: what independent dentists can offer that large organizations often cannot. Peter, Craig, and Ian discuss why personalized care, strong patient relationships, community, and entrepreneurial freedom remain powerful competitive advantages. They challenge the idea that independent practice is becoming obsolete and explain why dentists who embrace leadership, innovation, and business education may be better positioned than ever before. The discussion also explores AI, technology, customer experience, insurance dynamics, and the future of practice ownership. As dentistry becomes increasingly consolidated, the question isn't whether the industry is changing. It's whether practice owners are willing to evolve with it. The golden era of dentistry isn't behind us. It belongs to the dentists willing to build it. If you've ever wondered what the future holds for independent practice ownership, this episode is for you. DESCRIPTION The Bulletproof Dental Podcast Episode: 445 HOSTS: Dr. Peter Boulden, Dr. Craig Spodak, and Ian de Jongh In this episode, Peter Boulden, Craig Spodak, and Ian de Jongh explore the rise of DSOs, the accelerating consolidation of dentistry, and what these trends mean for independent practice owners. The conversation examines the economic realities driving consolidation, the advantages and challenges of private practice ownership, and why community, leadership, technology, and patient experience may become the defining factors separating thriving practices from struggling ones in the years ahead. TAKEAWAYS DSO consolidation continues to reshape the dental industry Insurance arbitrage remains a major driver of acquisitions Independent practices still possess significant competitive advantages Personalized patient care is difficult to replicate at scale Community creates resilience during periods of industry change Leadership and business education matter more than ever Technology and AI will accelerate practice evolution Customer experience can become a powerful differentiator The future belongs to adaptable practice owners Consolidation creates both risks and opportunities Dentists must actively choose their path rather than react to industry trends The golden era of dentistry is still available to those willing to build it TIME STAMPS 00:00:00 - Introduction and Welcome 00:00:43 - Discussion on DSOs 00:01:34 - Statistics on DSO Growth 00:03:07 - Impact of Interest Rates on DSOs 00:04:21 - Historical Perspective on DSOs 00:05:15 - Comparison with Dermatology and Veterinary Practices 00:07:05 - Relationship-Based Nature of Dentistry 00:08:33 - Business Coaching in Dentistry 00:10:02 - Pause in DSO Consolidation 00:10:17 - Example of DSO Unwinding 00:12:09 - Financial Distress in DSOs 00:13:01 - Rollover Equity in DSO Sales 00:14:47 - Importance of Upfront Cash in DSO Deals 00:16:00 - Independent Dentists Thriving 00:18:20 - Personalization of Care 00:18:49 - Example of Personalized Service 00:20:52 - Customer Service in Dentistry 00:22:46 - DSO vs. Independent Practice Quality 00:24:02 - SOPs in DSOs 00:26:06 - Moats for Independent Practices 00:28:28 - ADA Statistics on DSO Affiliation 00:29:01 - Macro Factors Affecting Consolidation 00:31:14 - Insurance Arbitrage in DSOs 00:33:01 - AI and Service Businesses 00:34:27 - Future of Independent Dentistry 00:36:09 - Importance of Community 00:37:03 - Power in Numbers for Independent Dentists 00:37:34 - Personal Experience with DSO Sale 00:39:09 - Paycheck Advance Analogy 00:40:15 - Summary and Closing Remarks 00:42:27 - Outro and Call to Action

See more: https://thinkfuture.comConnect with Brian: https://www.linkedin.com/in/brian-herr/---The AI gold rush is ending. What comes next?In this episode of thinkfuture, host Chris Kalaboukis speaks with Brian Herr about where AI is really heading—and why the next wave of winners won't be the companies building AI wrappers.Brian argues that AI isn't a completely new paradigm. It's the latest step in a decades-long evolution of human-computer interaction, moving from punch cards and command lines to graphical interfaces and now natural language.The real story isn't AI itself.It's what happens when AI becomes infrastructure.We explore:Why AI is a natural evolution of user interfacesThe shift from AI hype to real business valueWhy VCs are moving from “AI wrappers” to “AI-safe” investmentsThe importance of defensible moats like proprietary data and domain expertiseWhy AI should be treated like a smart intern, not a magical oracleThe future of agentic AI and autonomous systemsWhy smaller, specialized models may outperform giant general-purpose modelsThe rise of local AI running directly on personal devicesWhy trust, governance, and observability are critical for enterprise AINeural interfaces as the next frontier of human-computer interactionBrian believes we're entering a market correction similar to the dot-com era, where companies built solely on access to AI models will struggle, while businesses solving real problems will thrive.If you're interested in AI startups, venture capital, enterprise AI, agentic systems, or the future of technology, this conversation provides a practical roadmap for what comes next.

This week's podcast is about Tencent's revamped approach to AI and agents.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.Here is the McKinsey & Co article on arenas.Here is what Tencent has been doing in AI and agentic products. Tencent Rebuilt Its Model Building InfrastructureTencent Kicked Things Off with the Hunyuan Hy3 PreviewAdditional Models Are Being Developed. I'm Pretty Excited about the World Models.Tencent is Accelerating the Release of New and Upgraded AI Products. And Agents (i.e., Lobsters) Are the Current Focus.Here is my explanation:Pillar 1: Anchor Your AI Agent Strategy on High Value, Scalable Use CasesPillar 2: Balance Aggressive Market Share Growth with Incremental Revenue CapturePillar 3: Prepare for Large, Ongoing Investments and Escalating Industry Competition as the Cost of Dominating this New Economic Arena---------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

What if the strongest moats in the AI era aren't algorithms, but the data those algorithms depend on?In the second episode of the Consumer Tech Napkin series, Andreas Munk Holm speakes with Renato Circi and Rafaël Michali, Co-Founders at Sava, and Joe Seager-Dupuy, Director, Investment at True, to discuss how founders should think about defensibility when technology is becoming easier to build.SAVA is developing advanced biosensing technology designed to access bodily information in a painless, real-time and affordable way. Their core belief is that while AI may accelerate software development, the hardest problems and the most valuable companies will be built around scarce data, difficult infrastructure and bottlenecks that cannot easily be replicated.Together, they explore what separates static moats from dynamic ones, why patents and regulatory approvals are often just the starting point and how the best companies create advantages that strengthen as they scale.Topics coveredWhy the best moats are often non-consensusStatic versus dynamic moatsWhy patents and regulation are not enoughIdentifying bottlenecks that create lasting valueAI, proprietary data and defensibilityBuilding platforms instead of productsWhy user experience can be a moatEurope's advantage in deep techTimestamps(00:00) Why moats matter in consumer technology(02:00) Introducing Sava and the future of health monitoring(06:00) What a moat actually is(09:00) The Apple Watch question and non-invasive sensing(12:00) Consumer experience versus incumbent medical devices(15:00) How great companies sequence moats(18:00) From patents to platforms(22:00) Bundling, ecosystems and long-term defensibility(24:00) Static versus dynamic moats(27:00) Why patents only buy time(29:00) Owning bottlenecks in health data(31:00) Why AI increases the value of proprietary data(36:00) Europe's deep tech advantage(40:00) The biggest misconceptions about moats(43:00) Why the best moats are often non-consensusConsumer Tech Napkin is brought to you in partnership with True.Subscribe to EUVC, the home of European tech, for more insights.

Send us Fan MailHalo!In todays lesson, Uncle Mike & Tony D go over some key vocabulary if you plan on ordering off of a Croatian Menu.The Super Slatko Report takes us to the 7 defensive castles along the Dalmatian Coast.See you there! Pod cast links -Let's Learn Croatian the App!https://studio.com/lets-learn-croatianVisit our LLC website: https://www.letslearncroatian.com/NEW BOOK ALERT- Croatia Explained by DJ MOE!This is an affiliate link, if you buy, we may earn a small commission.https://amzn.to/4svEhjHCheck out our LLC Link Tree, lots of amazing ways to support the LLC Pod via our handpicked affiliate links! https://linktr.ee/MaliMomentoLLC?utm_source=linktree_profile_share<sid=830b9f1d-ec9d-483b-bf35-25d070ee2600We have a YouTube channel: https://youtube.com/c/LetsLearnCroatianLLC Merch Store: https://www.letslearncroatian.com/llc-storeKeep the content flowing, donate to the LLC: https://www.letslearncroatian.com/llc-supporters-pageBuy the LLC a Cup of Coffee: https://www.buymeacoffee.com/infoKX Collaborate with LLC: https://www.letslearncroatian.com/become-a-sponsorDo you FaceBook, we do: https://www.facebook.com/llcpod/?__tn__=-UC*FWe even do Instagram: https://www.instagram.com/llcpod/?hl=enTeeDee's Soaps!https://www.teedeessoaps.comLLC APPThe wait is over, the Let's Learn Croatian App is finally here! All our content now at your finger tips. This is a 100% personalized, Ai immersive language experience to get you speaking Croatian quickly and confidently. Sign up today and see where the journey takes you.https://studio.com/lets-learn-croatian BOOK!Check out my book, Croatia, Explained, for travelers who want more than just nice views and a few good meals. So before you take off this summer, make sure you're not just showing up… you're showing up prepared.Croatia, Explained. Available now on Amazon—link in the description.This is an affiliate link, if you buy, we may earn a small commission.https://amzn.to/4svEhjH BUY ME A COFFEEWe launched a Buy Me a Coffee supporters page. Here's your opportunity to become an LLC Members. Lots of incentives, including: an LLC Members Only Magnet, automatic entrance to any LLC Member Only raffles & prizes and access to the LLC Members Only page on our website, where we upload new content monthly.Click on the link below.https://www.buymeacoffee.com/infoKXHvala, Support the show

Jake and Michael discuss all the latest Laravel releases, tutorials, and happenings in the community.Show linksGenerate HTML Password Rules Attribute in Laravel 13.9.0Storage Cache Store in Laravel 13.10.0Scrollbar Styling and Container Size Utilities in Tailwind CSS v4.3.0Laravel Introduces First-Party Passkey Authentication SupportLaravel's AI SDK adds sub-agentsDHH Joins Laravel Live Denmark 2026 for Fireside Chat with Taylor OtwellManage Laravel Cloud Deployments Inside PhpStormMoat: A Security Review for Your GitHub AccountModel-Based Scheduling for Laravel with CadenceLarapanda: A Type-Safe Lightpanda Browser SDK for LaravelUse a Google Sheet as Your Laravel Database with the Google Sheets Database DriverDrag-and-Drop Sorting for Eloquent Models with Reorderable for LaravelPiper: Laravel-Style Array and String Helpers for PHP's Pipe OperatorSimple Feature Flags for Laravel with Laravel ToggleLaravel Paper: A Flat-File Eloquent DriverTutorialsLaravel MongoDB Full-Text Search tutorial: The Art of the RelevancyShip AI with Laravel: Real-Time Streaming Chat UI with Livewire

Send us Fan MailThis episode is brought to you by QuickPatents LLC. Looking for the IWM trusted patent solution? Look no further! https://www.quickpatents.com/Access the exclusive Discord through the Patreon below for just $6/Month! ⬇️https://patreon.com/InventWithMe?utm_...  IWM Engineer; Lance at https://www.freelancedesigns.ca/Try TorkStrap at 15% off with exclusive code: IWMhttps://torkstrap.com/The Invent With Me Podcast⬇️Spotifyhttps://open.spotify.com/show/2YAZqvv...⬇️Applehttps://podcasts.apple.com/us/podcast...The Invent With Me Podcast, where each week we help aspiring inventors and product creators to turn their innovative ideas into reality.  Join us on youtube to have the ultimate show experience!  www.youtube.com/@inventwithme

This week's podcast is about consumer electronics. And lessons I learned from Huawei's recent product event.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.4 dimensions for consumer electronics.Ecosystem building.Software and AI.Emotional impact and resonance.Tech leadership.Cheers, JeffHuawei Breaks into High Fashion with a Luxury, Jeweled Smartwatch (2 of 3) (Tech Strategy)———I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

On this episode, Jim Ferry, Partner at Volition Capital, shares how AI is reshaping the growth-stage investment landscape and what it means for the companies they back.Jim covers why employee count is no longer a reliable signal of company maturity, where real defensibility comes from when code itself is becoming a commodity, and what moats still hold up — from first-party data and proprietary integrations to network effects and systems of record. He also covers how founders can demonstrate AI fluency to investors and when to expect margin expansion from AI adoption.The information contained in this podcast is not intended to constitute, and should not be construed as, investment advice.

Many AI startups funded in the last 18 months won't last three years - so what makes a business durable today?Yaniv Bernstein is joined by Marlon Nichols, co-founder and managing general partner of MaC Venture Capital - one of the most active seed-stage AI investors in the market, having scaled MaC to over $600M AUM across three funds in just four years. Marlon's portfolio includes Pipe, Stoke Space, Thrive Market, Chef Robotics, and exits like Wonder Dynamics to Autodesk and Gimlet Media to Spotify.In this conversation, Marlon uses his industry experience to explain the biggest threats to new AI startups, and what the key components of successful startups in the industry will be.In this episode, you will:Hear why Marlon thinks niche or mid-size foundational models are now prime acquisition targets for OpenAIDiscover why misreading traction is the #1 mistake VCs are making right nowLearn why Marlon is more excited about manufacturing-line prediction and grid-scale batteries than humanoid robotsExplore why founder unit economics need a complete rewrite when token costs replace SaaS-style marginal costUnderstand why software is no longer a moat — and why data access, deep customer integration, and speed are the only three durable advantages left at the application layerLearn the difference between AI-native companies and AI-bolted-on companies, and what a 5-year-old startup should do if it's on the wrong side of that lineTimestamps00:00 Coming Up01:07 On Today's Show: Durable Tech02:33 Meet Marlon Nichols03:25 Defining 'Durable' AI Startups05:23 Moats for Foundation Models07:15 Chef Robotics and AI Native vs AI Enabled09:24 Upgrading Legacy Startups10:55 Pipe's AI Pivot Case Study13:19 Winning at the App Layer15:56 Speed and Workflow Stickiness17:51 Investment Checklist and Team20:30 Automotive Digital Twins and Regulatory Testing24:27 Why Physical AI?26:09 Robotics In Manufacturing26:55 Energy Storage And Batteries28:30 Why Cheaper Builds Still Need Talent30:19 Where Traction Can Be Misleading33:41 Token Costs And Unit Economics36:46 Closing ThoughtsMentioned in this episodeMaC Venture Capital: https://macventurecapital.com/Marlon Nichols on LinkedIn: https://www.linkedin.com/in/marloncnichols/'The Bitter Lesson' by Rich Sutton: http://www.incompleteideas.net/IncIdeas/BitterLesson.htmlVera (Yaniv's startup, AI-supported guidance for people caring for ageing parents): https://vera.guide/The PactHonor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSecure your official TSP merchandise at https://shop.tsp.show/Follow us here on YouTube: https://www.youtube.com/channel/UCNjm1MTdjysRRV07fSf0yGgGive us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksThis episode of the Startup Podcast is sponsored by .tech domains. Forget weird prefixes and creative misspellings; the availability for .tech domains is simply way better than .com. For a clean name that highlights your tech credentials, get a .tech domain at your favorite registrar.This episode of the Startup Podcast is sponsored by Vanta. Vanta helps businesses get and stay compliant by automating up to 90% of the work for the most in demand compliance frameworks. With over 200 integrations, you can easily monitor and secure the tools your business relies on. For a limited time offer of US$1,000 off, go to ⁠⁠⁠⁠https://⁠www.vanta.com/tsp⁠⁠⁠⁠⁠The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurAssistant Producer: Steph Hefferan https://www.linkedin.com/in/steph-heff/Intro Voice: Jeremiah Owyang https://web-strategist.com/

Stage 2 Capital General Partner Liz Christo joins the show to discuss the disconnect between venture expectations and reality in the software market. The conversation covers the hidden costs of the new build versus buy debate, the structural changes happening within modern sales organizations, and whether traditional B2B SaaS go-to-market strategies and moats still matter when AI coding tools make software replication cheaper than ever. Key Takeaways: -The shift toward building internal AI tools instead of buying SaaS products overlooks long-term technical debt, as Liz Christo points out that "there's like a huge amount of cost buried behind the scenes that we're not really talking about today because it's still like sexy and fun." -Founders are artificially inflating their Total Addressable Market to meet new venture capital baseline expectations, with Liz Christo noting that "pitch decks read like really ridiculous right now where everybody wants to tell the story of like a $10 billion outcome because that's the new milestone that got set." -Revenue Operations is becoming the most direct path to the Chief Revenue Officer seat in AI-first organizations, which Sam Jacobs explains is "because as we use fewer humans and more agents, the sort of the half technical, the semi-technical capabilities of most RevOps people will translate into orchestrating armies of agents." -Delegating analysis and writing to AI risks destroying strategic judgment across go-to-market teams, a trend Liz Christo summarizes by stating, "I think we are producing an incredible amount of content that's not getting consumed... I just think we're like losing the ability to think and we're not teaching junior employees how to do it." Connect with the Hosts & Guests: Host: Sam Jacobs - https://www.linkedin.com/in/samfjacobs/  Host: AJ Bruno - https://www.linkedin.com/in/ajbruno3/  Host: Asad Zaman - https://www.linkedin.com/in/azaman1/  Guest: Liz Christo - https://www.linkedin.com/in/lizchristo/   Topline is more than a YouTube Channel: Subscribe to Topline Newsletter: https://toplinemedia.substack.com/ Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech: https://www.joinpavilion.com/topline-podcast Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast: https://www.joinpavilion.com/topline-slack   Chapters:  00:00 Intro and Cold Open 02:41 The New Build vs Buy Debate 06:10 Engineers in Every Department 10:48 Pitch Decks and 10B Dollar TAMs 17:53 Venture Capital Funding Quiz 23:43 AI Memos and Critical Thinking 42:41 Software Moats and Switching Costs 47:46 Bulls vs Bears Segment 48:23 RevOps as a Path to CRO 51:25 The Future of SDR Managers 55:14 Is Clay Actually Undervalued 59:12 Odds of Hitting 50M ARR  

This week's podcast is about 5 big, recent events in China tech.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.The five topics are:New operating model: “Humans agents robots”China semiconductor bizFoundation modelsIt's all about agentsRobots and embodied AI ---------------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

On this episode, Joe Mancini, Co-Founder and Partner at Front Porch Venture Partners, explains how a hybrid fund-of-funds model works in practice—deploying capital both into early-stage venture funds as an LP and directly into seed and Series A companies, with a deliberate focus on the Southeast.Learn why the most defensible moats in software today are being built around go-to-market and purpose-built vertical features rather than technology alone, and how the falling cost of code is compressing roadmap timelines from quarters to weeks. Plus, get a practical framework for deciding where to deploy human capital versus AI agents.The information contained in this podcast is not intended to constitute, and should not be construed as, investment advice.

In this episode, host Kalie Moore sits down with Terry Lee, CEO of Fusebox Games, to unpack one of the most overlooked but powerful business models in mobile gaming: interactive fiction built on licensed IP. While much of the industry chases scale through mechanics or ads, Fusebox has quietly built a $30M+ business by turning hit TV shows like Love Island into living, evolving games with some of the highest payer conversion rates in mobile. Terry shares how the studio transformed from a one-season-per-year content cycle into a high-frequency content machine, why writing (not tech), is their true competitive moat, and how they've engineered a system where narrative, data, and monetization continuously inform each other in real time.They also explore what makes fandoms move seamlessly between TV and games, how Fusebox approaches community (including its complicated relationship with Reddit), and why the team is expanding beyond romance-driven gameplay into broader storytelling formats with IP like Big Brother and The Traitors. Along the way, Terry offers candid insights on leadership, scaling under pressure, and navigating the role of AI in creative industries - arguing that the real advantage won't come from replacing talent, but from amplifying it.We'd also like to thank modl.ai for making this episode possible! Using a combination of computer vision, reasoning models, and feedback loops, modl:QA+ autonomously explores builds, detects bugs, and generates actionable reports that sync directly with your existing workflows. To learn more, visit modl.ai.If you like the episode, please help others find us by leaving a 5-star rating or review! And if you have any comments, requests, or feedback shoot us a note at podcast@naavik.co.Who's On:Guest - Terry Lee: https://www.linkedin.com/in/terry-lee-296a089/Host - Kalie Moore: https://www.linkedin.com/in/kaliemoore/ Watch the episode: YouTube ChannelFor more episodes and details: Podcast WebsiteFree newsletter: Naavik DigestFollow us: Twitter | LinkedIn | WebsiteSound design by Gavin Mc Cabe.Links Mentioned:https://www.amazon.com/CEO-Sixteen-Lessons-Career-Level/dp/B0G49VV3R8

Has Bitcoin already bottomed, or are investors still looking at the wrong signals? Jordi Visser joins Bankless to argue that AI is destroying software moats, reshaping inflation, and pushing capital toward scarce assets, with Bitcoin at the center of that shift. We get into his “AI is the new QE” thesis, the scarcity-versus-abundance portfolio, why the S&P may struggle in an AI regime, what a more muted Bitcoin cycle looks like, and where he still sees upside across the rest of crypto. ---

Scot Wingo has built, scaled, taken public, and sold companies through multiple waves of ecommerce and software disruption. Now he's building again, this time around agentic commerce.In this episode of In/organic, Christian Hassold sits down with Scot Wingo at Shoptalk to talk about ReFiBuy, AI agents, ecommerce infrastructure, SaaS moats, founder survival, and what early-stage companies should do as AI reshapes software and go-to-market.Scot is best known as the founder and former CEO of ChannelAdvisor, which went public in 2013 and was later acquired by private equity. He is also an active investor and mentor in the North Carolina startup ecosystem, with exposure to hundreds of early-stage companies.The conversation covers:- Why Scot started ReFiBuy after reading about agentic AI- How AI agents could create the next generation of ecommerce marketplaces- Why “research, find, buy” may become a new commerce workflow- What ChannelAdvisor taught Scot about marketplaces, infrastructure, and exits- Why going public is exciting, but running a public company may not be for every founder- How founders should think about defensibility and moats in the AI era- Why proprietary data, workflow depth, and customer feedback matter more than ever- What early-stage SaaS companies should do when capital is harder to raise- Why go-to-market is breaking for many traditional software companies- How founders should evaluate M&A, acquihires, mergers, and strategic exits- What Scot expects from agentic commerce over the next 12 months- This episode is for SaaS founders, ecommerce operators, investors, corporate development leaders, and anyone trying to understand how AI agents will change software, marketplaces, and M&A.Chapters00:00 Intro from Shoptalk00:45 Meet Scot Wingo02:00 From ChannelAdvisor to ReFiBuy04:00 Why public-company life was not the right fit06:00 Investing in the North Carolina startup ecosystem09:00 What ReFiBuy is building12:00 Agentic commerce and the next marketplace shift16:00 Why content and thought leadership still matter20:00 Learning from customers and following the thread24:00 Startup survival in a tougher funding market28:00 Why SaaS go-to-market is breaking32:00 Defensibility and moats in the AI era37:00 Proprietary data and workflow depth42:00 M&A options for early-stage startups47:00 Mergers, acquihires, and strategic exits52:00 AI valuations and changing SaaS multiples56:00 Scot's predictions for agentic commerce01:00:00 Final thoughtsSubscribe to In/organic for conversations on SaaS M&A, AI disruption, strategic acquisitions, agency M&A, and lower-middle-market dealmaking.Connect with Christian and AyeletAyelet's LinkedIn: https://www.linkedin.com/in/ayelet-shipley-b16330149/Christian's LinkedIn: https://www.linkedin.com/in/hassold/Web: https://www.inorganicpodcast.coConnect with Scot Wingohttps://www.linkedin.com/in/thescotwingo/Learn More about Refibuyhttps://www.linkedin.com/company/refibuy/ Hosted on Acast. See acast.com/privacy for more information.

Description: This week, we're joined by TikTok & Youtube sensations - the hosts of The Useless Hotline podcast - George Clarke and Max Balegde!So listen in as the duo dives into all the wildly unhinged ways they'd spend a £200,000,000 EuroMillions jackpot. From a time-traveling mukbang to cancel Henry VIII, to a spiteful loft conversion built solely to annoy Max with loud Pasodoble dancing, to the ultimate morning routine on the 10-minute “cleaner coaster”Subscribe and follow for new episodes every Friday!!!Apple Podcasts: https://tinyurl.com/ycyfv2fcOn Spotify: https://tinyurl.com/4ths7nedOn TikTok: https://tinyurl.com/4d9k5457On Instagram: https://tinyurl.com/ykumd329On YouTube: https://tinyurl.com/yxyruujdBrought to you by EuroMillions from The National Lottery and Acast Creative ✨ Hosted on Acast. See acast.com/privacy for more information.

Greg Brockman is the president and co-founder of OpenAI. Brockman joins Big Technology to discuss GPT-5.5, also known as Spud, and what it means for OpenAI's next phase of AI development. Tune in to hear Brockman explain how the model gets better at coding, computer use, slides, spreadsheets, and agentic work across everyday applications. We also cover OpenAI's competitiveness, model economics, distillation, cybersecurity risk, trust in agents, and the compute-powered economy. Hit play for a timely look at OpenAI's newest model and where the AI race goes next. ---- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Chapters: 00:00 Intro: GPT-5.5 “Spud” 00:57 What GPT-5.5 Can Do 02:56 OpenAI's Agent Roadmap 05:49 Training and Real-World Tasks 09:55 Model Moats and Distillation 15:55 Cybersecurity Risks 21:01 Trusting Agents 23:36 The Compute Economy Learn more about your ad choices. Visit megaphone.fm/adchoices

Tune in to the wildest late-night talk show where nostalgia meets the unexplained. Host Walter Sterling and his callers share hilarious childhood memories of the ultimate status symbols—from color TVs and car phones to front-yard moats and a "fruit-only" second refrigerator. Along the way, hear Walter's terrifying teenage date with a doctor's daughter, the latest true-crime update on a Walmart meat heist, and an unbelievable caller confession about running a sham church on Catalina Island for tax-free rent. To top it off, alternative historian Michelle Gibson drops in to discuss the "mud flood" conspiracy and lost global civilizations. It's a hilarious, weird, and entirely unpredictable ride!  Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's podcast is about quality datasets and the context layer. Both are needed to scale agentic AI operating systems.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.Here are my past articles on data operations:Data Network Effects and Data Scale Aren't Moats (1 of 2) (Tech Strategy)My Playbook for Data-Empowered Operations (2 of 2) (Tech Strategy)The GenAI / Agentic Operating Basics (Tech Strategy)Here is the mentioned McKinsey & Co and a16z articles.Building the foundations for agentic AI at scaleYour Data Agents Need Context--------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

Nikki Barua — immigrant, serial entrepreneur, and CEO of Flip Work — joins Jeff Mains for a conversation on what it truly takes to build something outsized in the AI age. Drawing on two decades of experience in M&A, corporate strategy, and scaling tech businesses, Nikki shares why reinvention isn't a one-time event but a survival skill. The conversation digs into the mindset required to make bold decisions under uncertainty, the triple leverage behind billion-dollar companies (ideas, talent, and operating agility), and why mid-market SaaS companies are facing a binary outcome — perish or thrive — depending on how fast they move. Nikki also unpacks how the new competitive moats are shifting to proprietary data, distribution, and trust, and why the AI era is actually the golden age of entrepreneurship for those willing to step into the arena.Key Takeaways3:33 — Nikki's immigration story as a foundational lesson in reinvention: "Adapt or die."5:45 — What boardroom access in M&A taught her about high-stakes decision making and the courage required.7:43 — The three types of leverage that separate billion-dollar companies from million-dollar ones: exponential idea, exceptional talent, and operating agility.8:48 — Why big ideas attract great talent — and why that's a compounding advantage.10:43 — What Flip Work does: closing the divide between AI technology and human workforce readiness in 90-day sprints.14:00 — The hiring mistake founders repeat at every stage: hiring for tomorrow without considering whether that person has lived through where you are today.16:10 — The #1 limiting belief of founders: not dreaming big enough. Your business will never exceed the size of your own vision.19:06 — Why "family culture" is a trap and "sports team" is a better mental model for scaling.20:19 — Mid-market's binary moment with AI: too big to do nothing, but not big enough to transform alone.21:20 — The scary truth: mid-market SaaS companies could be one AI model feature away from being replaced.22:25 — The binary outcome: perish by inaction or capture massive market share through speed and new AI-resilient moats.27:19 — The new competitive moats: proprietary data, distribution, and trust — and why public data is no longer an advantage.30:14 — Why the founder's personal brand is becoming the most important trust signal in the AI age.32:06 — We're in the golden age of entrepreneurship — AI makes big ideas achievable with minimal capital and headcount.33:14 — How to build a genuinely high-agency culture: information symmetry, clear guardrails, and fail-safe zones.40:03 — The one mindset shift for overwhelmed founders: "Don't be a bystander. Step into the arena."42:16 — The rallying cry for the AI age: go from "people scared" to "people squared."Tweetable Quotes"Adapt or die. When you show up with nothing, the only thing you can count on is: who do I need to become to thrive in this new environment?" — Nikki Barua"Building a billion-dollar company isn't just harder — it's different. It requires exponentially better ideas, not incrementally better ones." — Nikki Barua"Big ideas attract great talent. People that are phenomenal at what they do like hard problems — they want to prove themselves doing something no one has ever done." — Nikki Barua"You cannot build a business beyond the size of your own dreams. Your lid is the ceiling of what you believe is possible." — Nikki Barua"Mid-market companies could be one AI model feature away from being completely replaced. That's a dangerous place to stand still." — Nikki Barua"Don't look in the rear-view mirror. Let go of sunk costs and step into what's possible instead of focusing on what was." — Nikki Barua"Don't be a bystander. Do it scared — but just do it." — Nikki Barua"Go from people scared to people squared. That's the real shift you have to make." — Nikki Barua"The founder's personal brand is going to be one of the biggest trust signals in the AI age — because software is no longer a moat." — Nikki Barua"Family culture means you just tolerate dysfunction. A sports team? You want the best players in all the right roles — and results decide who stays." — Nikki BaruaSaaS Leadership Lessons1. Reinvention Is a Survival Skill, Not a Strategy Nikki's immigration story set the tone: the willingness to shed old identities and step into new ones isn't optional — it's what separates those who thrive from those who get left behind. For SaaS leaders, this means actively interrogating who you need to become, not just what you need to build.2. Hire for the Stage You're In, Not Just the Stage You're Heading To One of the most costly and repeated mistakes founders make is bringing on "tomorrow" talent without considering whether they've survived "today." The person who's scaled a $100M company may be an anchor at the $5M stage. Match talent to the current phase, then plan thoughtful transitions as you grow.3. The Lid on Your Business Is the Size of Your Dream If you can't see a billion, you'll never build one. Your belief in what's possible is the actual ceiling on your company's growth. This isn't about fantasy — it's about radically expanding what you genuinely believe you can achieve and recruiting your whole organization into that expanded vision.4. Build AI-Resilient Moats Before You Need Them Proprietary data, deep distribution, and earned trust are the new defensible positions. Software alone is not a moat. Distribution (like Microsoft or Salesforce) and the personal brand trust of the founder are increasingly the differentiators that survive AI commoditization. Evaluate your moat honestly — and rebuild it now, not later.5. High-Agency Culture Requires Architecture, Not Announcements Saying "we empower our people" means nothing without the structures to support it. Real high-agency cultures are built on: (1) information symmetry — share what's happening at the top, (2) clear decision guardrails — define where authority lies at each level, and (3) fail-safe zones — explicit permission to experiment and fail within defined boundaries.6. The Cost of Indecision Is Falling Behind Whether in a boardroom M&A decision or an AI transformation moment, the founders and leaders who win are those who make bold calls under uncertainty and trust they can course-correct. Waiting for perfect information isn't a risk management strategy — it's how you become obsolete. Every week of inertia compounds the gap between you and those who are moving.Guest Resourcesnikki@fts-ai.comhttps://www.flipwork.ai/https://www.linkedin.com/in/nikkibarua/https://www.instagram.com/thenikkibaruaEpisode SponsorThe Futureproof Series - https://www.youtube.com/playlist?list=PLfkXKUPZ5xuOqMPR7_gzGybncTtavyR1NThe Captain's KeysSmall Fish, Big Pond – https://smallfishbigpond.com/ Use the promo code ‘SaaSFuel'Champion Leadership Group – https://championleadership.com/SaaS Fuel ResourcesWebsite - https://championleadership.com/Jeff Mains on LinkedIn - https://www.linkedin.com/in/jeffkmains/Twitter - https://twitter.com/jeffkmainsFacebook - https://www.facebook.com/thesaasguy/Instagram - https://instagram.com/jeffkmains

This week's blogpost - https://bahnsen.co/4crfdEr David Bahnsen hosts Dividend Cafe focusing on AI's disruptive impact on software and investing, postponing further Iran/market commentary until Monday despite positive Strait of Hormuz news. He outlines three AI company categories: hyperscalers (Google, Microsoft, Meta), “pick-and-shovel” providers (e.g., Nvidia, Broadcom), and AI labs/LLM makers, noting competitive tensions within and across these groups. He argues AI's technological progress is real, especially agentic AI and coding automation, but commercial outcomes are complex and not “doom” for all enterprise software; markets adapt as with past internet, social media, and e-commerce disruptions. AI can lower switching costs and pressure code-only business models, yet adoption is constrained by integration speed, energy/compute costs, and need for human validation. He favors software firms with moats beyond code—data, brand, and service/solution models—positioning AI as opportunity. He also highlights rising tech exposure across IG, HY, and loan markets, implying credit risk debates extend beyond private credit. 00:00 Welcome and Context 01:14 AI Disruption Takes Center Stage 02:04 Three Types of AI Players 03:48 Hype Meets Market Reality 07:49 Agentic AI and Real Limits 10:50 Switching Costs and Early Adoption 16:34 Jobs Data and Diffusion Constraints 21:47 Moats and Anti Fragile SaaS 24:41 Investment Takeaways on Winners 26:33 Chart of the Week Credit Exposure 28:02 Closing and Next Episode Links mentioned in this episode: DividendCafe.com TheBahnsenGroup.com

This week's podcast is about MEDVi, the world's first +1B revenue company with only one employee. It was founded in 2024 by Michael Gallagher.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.Here are the 5 lessons:GenAI and agents are creating powerful new position as the primary user interfaceABCs (assistants, brokers, concierges) are going to cut off a lot of merchants and brands from buyers.Human users are going to become much hard to reach. You need their eyeballs.MEDVi is a good examples of the ability of GenAI to enable new types of ecommerce coordination.Agent workers are a powerful organizational structure. It is going to disrupt human heavy businesses. ------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

In this episode of the ProductLed Podcast, Wes Bush and Esben Friis-Jensen sit down with Nick Franklin, founder and CEO of ChartMogul, to talk about what is really happening in SaaS right now. Nick shares what he is seeing across 3,000+ subscription businesses and why the last three years have been the most disruptive period in SaaS history. He explains why AI startups are still buying traditional SaaS tools, why subscription pricing is far from dead, and how customer expectations have changed fast. Faster time to value, more functionality, and lower prices are now the baseline. The conversation also gets into how ChartMogul is adapting. Nick talks about their move into CRM, why combining revenue analytics with customer context creates new opportunities, and how AI can unlock deeper insights from complex subscription data. He also responds to the big question facing analytics companies today: if LLMs can query data directly, what role does a platform like ChartMogul play? Beyond strategy, Nick shares a grounded view on moats, competition, and what actually matters most in building a durable SaaS company. His answer is refreshingly simple: build a great product, charge fairly, support customers well, and keep improving every day. It is a thoughtful conversation on SaaS survival, product strategy, and what it takes to stay relevant in an AI-first world. Key Highlights: 02:43 - AI Startups Are Still Buying SaaS Nick shares one of the more surprising trends from ChartMogul's customer base. A big share of new customers are AI startups, and many of them are still using classic subscription pricing. 03:53 - Why SaaS Has Had Its Hardest 3 Years Nick explains why the last few years have been so tough for SaaS, from the post-COVID reset to higher interest rates and tighter funding. 08:03 - More Value, Less Money, Faster Delivery Wes and Nick unpack how buyer expectations have changed. SaaS products now need to deliver more value, reduce friction, and help customers get results much faster. 10:45 - Why ChartMogul Went Multi-Product Nick breaks down the move into CRM and why bringing together revenue analytics, customer history, and interactions creates a much stronger product. 12:35 - How AI Can Unlock Deeper Analytics Rather than replacing analytics tools, Nick sees AI as a way to help customers get more value from complex data through more natural questions and faster insight discovery. 15:25 - Can LLMs Replace Subscription Analytics Tools? Wes pushes on the biggest threat facing analytics platforms, and Nick explains why clean data, normalized metrics, domain expertise, and strong tooling still matter. 21:25 - Why Vibe Coding Won't Replace SaaS The team talks about why most founders should use AI to speed up their own roadmap instead of trying to rebuild products like Slack, Notion, or HubSpot internally. 26:28 - Moats, Benchmarks, and the Bloomberg of SaaS Nick shares how ChartMogul thinks about defensibility through benchmarking data, expert-led content, partner networks, and long-term trust. 33:39 - The New “Wow” for Analytics Products Nick talks about why basic metrics are no longer enough, what customers expect now, and how ChartMogul is thinking about creating more signal and insight. 46:16 - What Keeps Nick Building After 10+ Years To close, Nick reflects on why he is still building, what gives the work meaning, and why creating something lasting matters more than chasing an exit. Resources:

This week's podcast is a summary of Chapter 1 (Introduction) of my updated Moats and Marathons books.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.--------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Or read my Moats and Marathons book series, a framework for building and measuring competitive advantages in digital businesses.This content (articles, podcasts, website info) is not investment, legal or tax advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. This is not investment advice. Investing is risky. Do your own research.Support the show

Today's guest on The Long View is Pat Dorsey. Pat is the founder of Dorsey Asset Management, a boutique asset manager serving institutional clients. From 2000 to 2011, Pat was the director of equity research for Morningstar, where he led the growth of Morningstar's equity research group from 20 to 90 analysts. Pat was instrumental in the development of Morningstar's economic moat ratings, as well as the methodology behind Morningstar's framework for analyzing competitive advantage. Pat is also the author of two books, The Five Rules for Successful Stock Investing, and The Little Book That Builds Wealth. Pat holds a master's degree in political science from Northwestern University and a bachelor's degree in government from Wesleyan University. Pat is a CFA charterholder. Episode Highlights 00:00:00 Defining Economic Moats and Moat Source Mistakes 00:05:34 Shifting Landscape for Returns on Invested Capital as a Metric 00:07:52 Inevitable vs. Noninevitable Moats 00:09:36 Moat Durability, Network Effects, and Lessons From PayPal 00:13:46 Management Quality, Founders, and Pricing Discipline 00:24:02 High-Quality Companies, “Too Hard” Bucket, and AI Uncertainty 00:29:29 Premortem, Behavioral Edge, and Opportunity Cost More From Morningstar AI Isn't an Economic Moat Killer, but It Will Disrupt Industries Lawrence Lam: ‘The Types of Companies That Attract Me Are Founder-Led and Profitable' How to Measure a Company's Competitive Advantage If you have a comment or a guest idea, please email us at TheLongView@Morningstar.com. Follow Christine Benz (@christine_benz) and Ben Johnson (@MstarBenJohnson) on X, and Christine Benz, Amy Arnott, and Ben Johnson on LinkedIn. Visit Morningstar.com for new research and insights from Christine, Ben, and Amy. Subscribe to Christine's weekly newsletter, Improving Your Finances. If you want more Morningstar podcasts, check out The Morning Filter and Investing Insights. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

(0:00) Bestie intros!: Friedberg for Governor of California? (2:25) Anthropic's generational run (15:45) OpenAI: getting focused or panic mode? (36:56) AI valuation impacts, moats, and disruption (43:58) Liquidity speaker announcements, the 100x AI moment (50:35) Two landmark social media verdicts against Meta (1:12:46) Sacks and Friedberg join PCAST! Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://polymarket.com/event/which-company-has-the-best-ai-model-end-of-march-751 https://www.wsj.com/tech/ai/openai-chatgpt-side-projects-16b3a825 https://www.reuters.com/business/openai-sweetens-private-equity-pitch-amid-enterprise-turf-war-with-anthropic-2026-03-23 https://www.levernews.com/the-pentagons-ai-gatekeeper-holds-stock-in-anthropics-rival https://x.com/LauraLoomer/status/2037111057701818519 https://x.com/chamath/status/2033385903520129161 https://x.com/TheIcahnist/status/2036902492080837015 https://www.google.com/finance/quote/GOOG:NASDAQ https://www.google.com/finance/quote/LVMUY:OTCMKTS https://x.com/cryptopunk7213/status/2023572182090109380 https://www.google.com/finance/quote/RACE:NYSE?comparison=OTCMKTS https://x.com/Vjay031/status/1985631799448662441 https://www.latimes.com/california/story/2026-03-25/social-media-lawsuit-trial-meta-google-verdict

Subscribe to the 100 Year Thinkers of Spotify⁠⁠Subscribe to the 100 Year Thinkers of AppleIn this episode of our new show, 100 Year Thinkers, Robert Hagstrom and Chris Mayer explore how investors should think about base rates, extreme outcomes, and the realities of long-term wealth creation in markets. Applying the work of Michael Mauboussin, the conversation challenges conventional ideas like mean reversion and highlights why a small number of companies drive most stock market returns—and what that means for portfolio construction.This episode brings together Robert Hagstrom and Chris Mayer to explore how investors should think about base rates, extreme outcomes, and the realities of long-term wealth creation in markets. The conversation challenges conventional ideas like mean reversion and highlights why a small number of companies drive most stock market returns—and what that means for portfolio construction.Topics covered• Why markets are driven by extreme outcomes and power laws, not averages• The Best & Bessembinder research showing a handful of stocks create most wealth• Base rates vs outliers and when to trust historical probabilities• Why the 100 bagger framework focuses on studying winners, not predicting them• Portfolio construction as a way to capture asymmetric upside• Buffett's approach to consistency, durability, and long-term operating history• Inside view vs outside view and how narratives distort investing decisions• Why AI may be breaking traditional base rate assumptions in software and tech• The limits of mean reversion and why it can lead investors astray• Return on invested capital and how competition erodes excess returns over time• Identifying durable moats and why most advantages eventually get attacked• Winner-take-all dynamics and how they shape long-term investing outcomes• The twin engines of returns: earnings growth and multiple expansion• Return on incremental capital as a key driver of long-term compounding• Intangible assets and why accounting understates true business value• Amazon as a case study in misunderstood profitability and reinvestment• AI CapEx cycle and why current spending may not be sustainable long term• Why great businesses matter more than great management in long-term investingTimestamps00:00 Why extreme outcomes drive stock market returns01:00 Base rates vs studying 100 baggers03:00 Power laws and why markets are a game of outliers05:00 Just 46 companies created half of all market wealth07:00 Buffett on consistency and long-term operating history10:00 How to think about base rates in AI, energy, and macro cycles12:00 Does AI invalidate historical base rates?15:00 Inside view vs outside view in investment decision making19:00 Buffett's “certainty at a discount” framework23:00 How often investors should evaluate businesses vs prices29:00 Mean reversion myths and where it breaks down33:00 Return on invested capital and competitive pressure36:00 Moats, winner-take-all markets, and long-term dominance41:00 Twin engines of compounding: growth plus multiple expansion43:00 Return on incremental capital and forecasting future returns47:00 Intangibles and why accounting distorts real business value50:00 Amazon, CapEx cycles, and hidden profitability53:00 AI infrastructure buildout and the future of returns

The stock market has cooled on stocks caught up in the whirlwind of artificial intelligence. Fears over whether AI will disrupt a variety of sectors have triggered big sell-offs. Morningstar equity analysts have investigated 132 companies to determine whether that's the case. They have concluded that AI is not a universal destroyer. The team thinks investors should sort through the wreckage and find newly cheap companies with enduring competitive advantages. Eric Compton, director of equity research for the technology sector at Morningstar, tells you where to look. Moat Ratings Guidebook Amid AI Disruption  On this episode: 00:00:00 Welcome 00:01:28 What are Moats, and How Does Morningstar Use Them? 00:04:11 In-Depth Analyst Review of 132 Companies 00:06:27 Why Cybersecurity Holds Up 00:10:02 Why Design Software Looks Resilient 00:13:10 How Financial Data Benefits From AI 00:15:32 Finding Opportunity After AI Selloffs     Watch more from Morningstar: 2 Cautionary Tales from Private Equity and Private Credit Markets Are You Ready for Tax Day? Here's What You Need to Know Before You File Avoid This IRA Distribution Error to Protect Your Retirement Cash   Follow Morningstar on social: Facebook https://www.facebook.com/MorningstarInc/ X https://x.com/MorningstarInc Instagram https://www.instagram.com/morningstarinc/?hl=en LinkedIn https://www.linkedin.com/company/morningstar/posts/?feedView=all   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Gokul Rajaram is one of the greatest operators turned investors of the last 2 decades. He is trusted as the go to advisor for the greatest founders in the world. Today he serves as a Board Director at three public companies: Coinbase, Pinterest and The Trade Desk. Prior to Marathon (his firm), Gokul served on the executive team at DoorDash and Block. Before Block, he served as Product Director of Ads at Facebook. Earlier in his career, Gokul served as a Product Management Director for Google AdSense. Gokul is also a prolific angel investor, having invested in 700+ companies, including Airtable, Figma, Groq, Runway, Supabase, and Vercel.  AGENDA: 03:53 — Investing Lessons from Google, Doordash and Facebook 05:32 — Why Mark Zuckerberg is the Greatest Distribution Genius Alive 07:23 — Why Every Company Today Needs to be Multi-Product 09:16 — Negative Gross Margins: Are the Best Companies Actually Built on "Shit" Economics? 10:50 — The SaaS Apocalypse: Is the Entire Sector Going to Zero? 12:15 — The 8 Moats of Enduring Software Companies: How to Analyse Companies 14:50 — Why Brand is No Longer a Strong Moat (And What Replaced It) 16:13 — Salesforce vs. Atlassian: Which Systems of Record are Dying? 18:13 — Outcome-Based Pricing: Is This the Total Death of Seat Pricing? 20:16 — The Bolt-On AI Trap: Why Rebuilding Your Entire UX is Non-Negotiable 23:44 — Are the Outcome Sizes of Vertical SaaS Large Enough for VC Today? 28:16 — The Zombie Cohort: What Happens to Private Companies with High Valuations? 32:44 — Is "King Making" Complete Bullshit? 34:21 — Durability Over Margins: What Really Matters in a 100x Growth World 35:36 — The Non-Consumption Miracle: Why Granola and Gamma are Crushing It 38:50 — The PayPal Rule: Can You Raise Prices 5 Times in 3 Years? 42:47 — My Biggest Miss: How I Misread the Shopify Billion-Dollar Mark 45:18 — The Courage to Bet: Why Instacart is the Best VC Deal Ever 46:33 — Seed vs. Growth Pricing: When Does Price Actually Destroy Returns? 50:53 — Does "Proprietary Founder Access" Even Exist? 54:33 — Double Down or Diversify? The Truth About Fund Reserves 59:44 — The Vanta Anti-Portfolio: A Mistake I'll Never Forget 01:01:21 — When to Sell: The "Sell a Third, Hold a Third, Trade a Third" Rule 01:04:12 — Why Remote Early-Stage Companies are Dying 01:07:33 — Why Mid-Level Partners are Fleeing Mega Funds 01:09:47 — The Best CEO Superpowers: Larry, Mark, Jack, and Tony 01:12:33 — The Next 10 Years: Why Dropouts are "AI Maxing" the World    

2. Philps highlights Alice Moats, a socialite turned war correspondent. Defying British embassy orders to evacuate, "Mozy" stayed in Moscow and connected with Polish General Anders. Her story exposes the Soviet betrayal of Polish officers while providing a lighter, yet insightful, perspective on the grand tragedies of Moscow. (19)1942