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1:13:28ENThe CEO Is the Chief Product Officer: Brian Chesky's Airbnb Operating System진행자 Lenny RachitskyAirbnb's CEO explains how he rebuilt product management, planning, and launches around functional teams, one roadmap, and leaders who stay in the details.
59:20ENFrom Trello to The Knot: Roles, Velocity and the Question "What Are You Optimizing For?"게스트 Nikita Miller · 진행자 Lenny RachitskyNikita Miller, head of product at The Knot Worldwide, on aligning cross-functional roles, shipping with urgency, working remotely and balancing life and work.
1:22:34ENSimplify, Follow Up, Carry the Water: What Separates Great Product Managers게스트 Maggie Crowley · 진행자 Lenny RachitskyToast VP of Product and former Olympic speed skater Maggie Crowley on the three habits of the best PMs, how she writes strategy, and why "data-driven" can be a red flag.
43:44ENRoblox's 20-Year Bet: Building the Holodeck with Native AI Models진행자 Sarah Guo, Elad GilRoblox CEO Dave Baszucki explains how 13 billion monthly hours of 3D interaction data could power smarter NPCs, virtual doppelgängers and a cloud-native future for games.
32:41ENHow IBM Watson Won Jeopardy: A Moonshot Built on Engineering, Not a Breakthrough게스트 David Ferrucci · 진행자 Lex FridmanDavid Ferrucci tells Lex Fridman how he talked IBM into the Jeopardy challenge and how his team built Watson's search, scoring and confidence machinery in about four years.
1:34:06ENRide the Models: Dan Shipper's Bets on Super-Agents, Codex, SaaS and the Human Jobs AI Creates진행자 Lenny RachitskyEvery CEO Dan Shipper makes a dozen predictions for how work will look in a year, from company-wide Slack agents to why the AI job apocalypse isn't coming.
11:59ENFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be게스트 François Chollet · 진행자 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.
1:14:37ENLead Like You Own the Next Play: Brian Halligan's Playbook for Founder CEOs in the AI Era진행자 Lenny RachitskySequoia's in-house CEO coach and HubSpot co-founder on hiring spiky talent, the LOCKS framework, the future of go-to-market, and the "Halliganisms" he learned the hard way.
1:02:11ENBuild Like a Lab: Josh Woodward on Finding, Testing and Killing Product Ideas in the AI Era진행자 Lenny RachitskyThe head of Google Labs, the Gemini app and AI Studio explains how to spot ideas that are almost possible, read early product-market fit in people's eyes, and run a frontier team inside a large company.
1:53:54ENFrom "Worst Idea I've Ever Heard" to $100M ARR: How Gamma Grew Profitably with a Tiny Team게스트 Grant Lee · 진행자 Lenny RachitskyGamma CEO Grant Lee walks through product-market fit, micro-influencer marketing, rapid prototype testing, pricing and lean hiring behind an AI presentation tool with over 50 million users.
1:21:35ENSelling the Mario-on-Blast: Jen Abel's Playbook for Growing Enterprise Sales from $1M to $10M ARR진행자 Lenny RachitskyEnterprise sales veteran Jen Abel explains why startups should chase tier-one logos, price near $100K, sell vision instead of problems, and hire salespeople who can act like founders.
1:24:56ENPeople Hire Products: Bob Moesta on Struggling Moments, Context and the Real Jobs to Be Done게스트 Bob Moesta · 진행자 Lenny RachitskyThe co-creator of Jobs to Be Done explains how to find the moment customers change behavior, how to interview them, and where the framework doesn't fit.
1:02:56ENThink Rigorously, Decide Fast: Lessons from Stripe's Culture and Retool's Innovation Machine게스트 Eeke de Milliano · 진행자 Lenny RachitskyRetool's head of product and early Stripe PM Eeke de Milliano on first-principles thinking, protecting innovation, right-sizing process and building a balanced product team.
1:13:44ENTalent Density First: Netflix CTO Elizabeth Stone on Candor, Keepers and High Standards게스트 Elizabeth Stone · 진행자 Lenny RachitskyA conversation with Netflix's CTO, a trained economist, about her fast rise, how she holds a high bar, and how Netflix's culture and data organization actually work.
1:22:17ENOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM M진행자 Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.
1:03:10ENPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next Upgrades진행자 Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.
1:25:25ENExplore, Exploit, Retain: How Albert Cheng Grows Duolingo, Grammarly and Chess.com-Style Subscription Products게스트 Albert Cheng · 진행자 Lenny RachitskyA veteran of three of the best-loved consumer subscription apps explains his explore-and-exploit framework, what retention really demands, and why he wants 1,000 experiments a year.
1:31:34ENHow Snyk Grew from a Node.js Niche to a Developer Security Giant게스트 Ben Williams · 진행자 Lenny RachitskyBen Williams, VP of Product at Snyk, explains the community, loops, team structure and data foundations behind the company's product-led growth.
1:12:29ENLazy, Vain, Selfish Users and the Rule of Three: An Indian Product Leader's Playbook게스트 Anuj Rathi · 진행자 Lenny RachitskyAnuj Rathi of Jupiter Money walks through how product management took shape in India, and the frameworks he uses for onboarding, working backwards, strategy and marketplaces.
26:45ENStart Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learning게스트 Andrew Ng · 진행자 Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.
1:07:36ENMake a Podcast to Build for Podcasters: Maya Prohovnik on Dogfooding, Gut Calls and Anchor's Unscalable Hacks게스트 Maya Prohovnik · 진행자 Lenny RachitskySpotify's head of podcast product and Anchor's employee number one explains how she dogfoods, balances intuition with data, and keeps a startup mindset inside a giant company.
1:01:13ENPinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunami진행자 Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.
1:15:13ENShipping Real Apps Without Writing Code: A Non-Technical PM's Cursor and Claude Code Workflow게스트 Zevi Arnovitz · 진행자 Lenny RachitskyZevi Arnovitz, a product manager with no technical background, walks Lenny Rachitsky through the slash-command workflow he uses to build and ship products with AI.
29:03ENNotion's Simon Last on Rewriting the AI Harness Every Six Months and Managing a Swarm of Agents진행자 Sarah Guo, Elad GilThe Notion co-founder traces the product's path from a writing assistant to custom background agents, and describes how coding agents changed the way he builds.
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