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1:50:55ENTwo Hierarchies for Consumer and Marketplace Startups: Focus First, Tip Second, Dominate Last게스트 Sarah Tavel · 진행자 Lenny RachitskyBenchmark partner Sarah Tavel walks through her hierarchy of engagement and hierarchy of marketplaces, and why both start with ruthless focus.
44:53ENLegora's CEO on Building Legal AI That Survives the Next Model Release진행자 Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.
1:40:42ENThe IC CEO: How Airtable's Howie Liu Is Re-Founding a 13-Year-Old Product for AI게스트 Howie Liu · 진행자 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.
21:48ENDon't Build Zombie UI: Katie Dill on Scaling Intent and Craft in the AI Building Boom진행자 Lenny RachitskyStripe's head of design argues that as AI lets everyone build, a clear point of view, encoded standards, ruthless editing and real creative ambition are what keep products from turning generic.
17:11ENDisagreement as an Art: How Lex Fridman Handles Negative Comments진행자 Lex FridmanIn an AMA answer, Lex Fridman explains how he separates respectful disagreement from mockery and how he turns the sting of criticism into a lesson.
1:45:10ENShape Up in Real Life: Fixed Time, Variable Scope, and the Shaping Session That Makes It Work게스트 Ryan Singer · 진행자 Lenny RachitskyRyan Singer, author of Shape Up, explains appetites, six-week time boxes and live shaping sessions, and why copying Basecamp's method without its conditions fails.
2:14:39ENBrains at Work: A Neuroscience Playbook for Meetings, Influence and Team Culture게스트 Evan LaPointe · 진행자 Lenny RachitskyCORE Sciences founder Evan LaPointe turns the brain's safety, reward and purpose systems into practical advice for meetings, relationships, culture and focus.
1:21:08ENThe Magic Loop: How a Former Amazon VP Says You Can Earn Promotions by Helping Your Boss게스트 Ethan Evans · 진행자 Lenny RachitskyEthan Evans explains his five-step career loop, how to break through at senior manager, how to invent on purpose, and what he learned from failing Jeff Bezos on a very public launch.
1:39:10ENAfter the Keyboard: Why Physical AI Is the Next Frontier, According to a Veteran Hardware Leader진행자 Lenny RachitskyCaitlin Kalinowski, who has built products at Apple, Meta and OpenAI, explains why robotics is heating up, what actually gates it, and how to build hardware that ships.
1:20:58ENFrom Bag of Words to Attention: Quoc Le Teaches Sequence-to-Sequence Learning Through Email Replies진행자 Lex FridmanA Deep Learning School talk that builds sequence-to-sequence models step by step around one running example, automatic email reply, and then surveys memory and operation-augmented networks.
14:38ENPlay Badly, Have Fun: Lex Fridman and RZA Trade Trash Talk Over a Casual Chess Game진행자 Lex FridmanAn impromptu post-podcast chess match between Lex Fridman and RZA, framed by Lex's case for playing chess for the joy of it.
1:34:27ENMatt Mullenweg on Open Source Ideals, the WP Engine Fight and Why Llama Isn't Really Open게스트 Matt Mullenweg · 진행자 Lenny RachitskyThe WordPress co-creator and Automattic CEO gives his side of the WP Engine dispute, explains his open source philosophy, and talks AI, community building and acquisitions with Lenny Rachitsky.
51:45ENCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the Models진행자 Jacob EffronHeyGen co-founder and CEO Joshua Xu explains how AI avatars are replacing the camera for business video, and how the company handles quality, trust and safety, and capital.
1:13:37ENTen Hot Takes From a Bootstrapped SaaS Founder: Pricing, Retention, Tempo and the Middle of the Funnel게스트 Patrick Campbell · 진행자 Lenny RachitskyPatrick Campbell, who sold ProfitWell for more than $200 million without outside funding, runs through ten operating topics, from team culture and bootstrapping to pricing, churn and freemium.
46:48ENSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes First진행자 Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
26:01ENAfter the OpenAI Saga: Governance, Incentives, Diffusion Models and Why Your ASP Is My Opportunity진행자 Sarah Guo, Elad GilIn a host-only episode, Sarah Guo and Elad Gil unpack what OpenAI's leadership turmoil teaches about governance and incentives, then turn to AI video, small teams and the economics of AI investing.
1:30:18ENNight Markets and Chip Foundries: A Week in Taiwan with Jensen Huang진행자 Lex FridmanLex Fridman follows NVIDIA's CEO through Computex, street food and long chats about Taiwan's tech history, export controls and how to choose business partners.
53:42ENThe Missing Middle: Why Product Teams Work Hard Without a Strategy진행자 Lenny RachitskyMelissa Perri explains how product organizations scale strategy, hire their first CPO, write a usable vision, and use product operations to make it last.
1:19:48ENBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep Learning진행자 Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.
1:30:00ENInside Stripe's Product Engineering Culture: Friction Logs, Engineer Occasions and 45-Minute Deploys게스트 David Singleton · 진행자 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.
26:23ENTime Is Real, Space Is Emergent: Lee Smolin on Finishing Einstein's Revolution진행자 Lex FridmanTheoretical physicist Lee Smolin explains why quantum theory and general relativity remain unreconciled, and why he thinks causality is fundamental and locality is not.
1:11:13ENAfter Code: Cursor's CEO on Logic Design, Custom Models and Why One Winner Will Take the Market진행자 Lenny RachitskyMichael Truell explains how Cursor went from a mechanical-engineering pivot to a $300M ARR product, and where he thinks programming is heading.
1:02:06ENLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digits진행자 Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.
1:18:58ENDelta 4, Dharma and Second-Order Thinking: Kunal Shah's Philosophy of Building in India게스트 Kunal Shah · 진행자 Lenny RachitskyCRED founder Kunal Shah explains his product framework, why India's market behaves differently, and the habits of curiosity he credits for his success.
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