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1:35:38EN
Lenny's PodcastPódcast · 2 vocesInside ChatGPT: How a Hackathon Project Became the World's Most Used AI ProductInvitado: Nick Turley · Presenta: Lenny RachitskyNick Turley, head of ChatGPT at OpenAI, explains how the product was built, why shipping fast beats polishing first, and where it goes next.
59:50ENLenny's PodcastPódcastThe Nature of Product: Why Feature Factories Lose to Empowered TeamsPresenta: Lenny RachitskyMarty Cagan explains why feature teams and real product teams are different animals, how companies lose product mojo as they scale, and what product managers must protect to do the job well.
1:36:24ENLenny's PodcastPódcast · 2 vocesBe a Willow Tree: Julie Zhuo on Managing Agents, Teams of Builders, and Data That DiagnosesInvitado: Julie Zhuo · Presenta: Lenny RachitskyThe former Facebook head of design and Sundial founder explains how management skills carry over to AI tools, why she hires no product managers, and what new managers still get wrong.
19:31ENLenny's PodcastPódcastBuild the Factory, Not Just the Product: How Ramp Chases Bottlenecks Across the Whole Development LoopPresenta: Lenny RachitskyRamp CPO Geoff Charles walks through the AI agents his team built for every stage of product development, and what they mean for the PM's role.
1:55:10ENLenny's PodcastPódcast · 2 vocesSEO After AI Overviews: Treat Search as a Product, Not a Keyword GameInvitado: Eli Schwartz · Presenta: Lenny RachitskyGrowth advisor Eli Schwartz explains how AI answers are swallowing top-of-funnel search, and why the winners will be the teams that build for the buyer's journey.
1:23:01ENLenny's PodcastPódcast · 2 vocesThe Meteor Is Coming: Intercom's Paul Adams on Going All In on AIInvitado: Paul Adams · Presenta: Lenny RachitskyIntercom's chief product officer talks about the failures that shaped him, how Intercom ripped up its strategy after ChatGPT, and the simple frameworks he uses to decide what to build.
1:25:49ENLenny's PodcastPódcastShip Weekly, Cut Scope, and Keep a Secret Roadmap: How Captions Builds in the AI EraPresenta: Lenny RachitskyGaurav Misra explains how a modern AI startup turns constant model progress into weekly shipped products, technical debt as leverage, and talking-video tools for non-professionals.
1:08:36ENLenny's PodcastPódcast · 2 vocesStorytelling, Customer Proximity and Community: How Figma's CPO Thinks About Building Great ProductInvitado: Yuhki Yamashita · Presenta: Lenny RachitskyYuhki Yamashita on product storytelling, owning the why, staying close to customers, rethinking OKRs, hiring, and community-led growth at Figma.
57:11ENLenny's PodcastPódcast · 2 vocesFrom Artifact to Organism: Microsoft's Asha Sharma on Products That Learn and an Agentic SocietyInvitado: Asha Sharma · Presenta: Lenny RachitskyMicrosoft's AI platform product chief explains why products are becoming living systems tuned by post-training, why interfaces are shifting toward code and composability, and how agents may reshape the org chart.
1:40:42ENLenny's PodcastPódcast · 2 vocesThe IC CEO: How Airtable's Howie Liu Is Re-Founding a 13-Year-Old Product for AIInvitado: Howie Liu · Presenta: Lenny RachitskyAirtable's co-founder explains why he returned to hands-on product work, split his org into fast- and slow-thinking groups, and what skills every product team now needs.
1:30:00ENLenny's PodcastPódcast · 2 vocesInside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute DeploysInvitado: David Singleton · Presenta: Lenny RachitskyStripe CTO David Singleton explains how the company hires, builds with early users, sweats the details and ships constantly without breaking a business-critical system.
1:14:34ENLenny's PodcastPódcast · 2 vocesInside the Frontier Lab: How Karina Nguyen Builds Products by Training the ModelInvitado: Karina Nguyen · Presenta: Lenny RachitskyOpenAI researcher Karina Nguyen explains synthetic data, evals, how Canvas and Tasks were made, and which human skills matter as models get smarter.
1:46:33ENLenny's PodcastPódcast · 3 vocesFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsInvitado: Hamel Husain, Shreya Shankar · Presenta: Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.
1:42:30ENLenny's PodcastPódcastThe Genie Has Three Wishes: How a Non-Coder Became Lovable's Professional Vibe CoderPresenta: Lenny RachitskyLazar Jovanovic explains the planning files, parallel prototypes and debugging routine he uses to ship production software with AI, and why judgment and taste now matter more than code.
1:27:44ENLenny's PodcastPódcast · 2 vocesEverybody Can Cook: Guillermo Rauch on v0, Vercel and the Collapse of SpecializationInvitado: Guillermo Rauch · Presenta: Lenny RachitskyVercel's CEO explains how v0 turns intent into shipped products, why understanding how software works still matters, and how teams can build taste through exposure.