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1:20:12ENThe 10X Growth Advisor: Impact, Hiring, SEO and the End of Search as We Know It게스트 Luc Levesque · 진행자 Lenny RachitskyShopify's chief growth officer Luc Levesque explains how to hire and use growth advisors, why SEO can define a company, and what AI answers mean for search traffic.
26:42ENSeeing the Matrix as a Product Leader: Scott Belsky’s Cardinal Rules for Products People Love진행자 Lenny RachitskyScott Belsky distills hard-won lessons on simplicity, defaults, empathy, talent and taste in the age of AI.
51:39ENA Tutor for Every Child: Sal Khan on How AI Could Transform Education진행자 Sarah Guo, Elad GilKhan Academy's founder traces his path from tutoring his cousins to building Khanmigo, and explains how GPT-4, classroom change, universities and future skills fit together.
11:19ENWhy Donald Knuth Thinks P = NP and Why It Might Not Matter게스트 Donald Knuth · 진행자 Lex FridmanKnuth explains how an algorithm can provably exist without anyone being able to write it down, and why that shapes his view of P versus NP.
1:41:59ENDesign Is Clear Thinking Made Visible: Bob Baxley on Culture, Tenets and Software as a Medium게스트 Bob Baxley · 진행자 Lenny RachitskyFormer Apple, Pinterest and ThoughtSpot design leader Bob Baxley explains how design culture works, why teams should delay drawing the first picture, and why building good software is a moral obligation.
1:26:50ENIntuition Is a Hypothesis Generator: Dylan Field on Taste, Simplicity and Shipping Fast게스트 Dylan Field · 진행자 Lenny RachitskyFigma's CEO talks with Lenny Rachitsky, live at Config, about how he builds product taste, why simplicity is everyone's job, and what the early years of Figma taught him.
1:27:45ENCoding Is Solved, Says the Creator of Claude Code: Boris Cherny on What Comes Next진행자 Lenny RachitskyBoris Cherny, head of Claude Code at Anthropic, on the tool's origin, the principle of latent demand, and how work changes when engineers stop writing code by hand.
1:18:48ENData Movement, Not Math: How to Make Deep Learning Fit on Robots and Phones진행자 Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.
1:14:59ENWhy Anthropic's Ben Mann Thinks the Exponential Hasn't Slowed, and Why He Still Worries About Safety진행자 Lenny RachitskyThe Anthropic co-founder on the AI talent war, scaling laws, the economic Turing test, jobs, leaving OpenAI, constitutional AI and how he forecasts the risk of superintelligence.
36:05ENContracts, Not Chips, Are the Collateral: How the AI Compute Buildout Gets Financed진행자 Sarah Guo, Elad GilMagnetar's Neil Tiwari explains the debt structures behind GPU clouds, why power and steel now limit the buildout, and why he thinks the selloff in software is overdone.
1:24:42ENDistraction Is an Emotion Problem, Not a Technology Problem: Nir Eyal's Playbook for Becoming Indistractable게스트 Nir Eyal · 진행자 Lenny RachitskyThe author of Hooked and Indistractable explains why most distraction starts within us, and walks through a dozen tactics for focus, scheduling, pacts and workplace culture.
1:47:22ENStrategy Is Not a Gift: A Five-Phase Playbook You Can Run in 8–12 Weeks게스트 Chandra Janakiraman · 진행자 Lenny RachitskyChandra Janakiraman, CPO of VRChat, walks through an operator's recipe for building product strategy, from leadership interviews to a three-pillar rollout, plus a longer "big S" process for aspirational futures.
1:24:01ENFrom Sandwich Math to Expert Data: Scale AI's CEO on What Actually Makes Models Smarter진행자 Lenny RachitskyJason Droege explains what really happened with Meta's investment in Scale AI, how data labeling turned into expert work, and what Uber Eats taught him about building businesses.
16:41ENAlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and Biology진행자 Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.
1:18:05ENAllow the Fear: J.M. Nickels on Conscious Leadership, Strategy, and Choosing Your Life's Objective Function진행자 Lenny RachitskyA product leader who built Uber Pool and led commercialization at Waymo explains how inner work, first-principles futures, and an explicit life objective function make better leaders and better products.
53:40ENA Roadmap Is a Prototype of Your Strategy: Janna Bastow on Now, Next, Later게스트 Janna Bastow · 진행자 Lenny RachitskyThe inventor of the Now/Next/Later roadmap explains why timelines mislead, how to launch without fixed dates, and what she learned from building Mind the Product and ProdPad.
26:40ENGet to the Punchline: How Figma's Slides Team Won Trust Instead of Just a Green Light진행자 Lenny RachitskyFigma's Mika and Yuki explain why the standard PM playbook for product reviews backfires — and the tactics they used instead to get Figma Slides built, funded and launched.
1:28:28ENFish Where the Fish Are: Andrew Wilkinson on Boring Businesses, AI Agents and Why Money Didn't Make Him Happy게스트 Andrew Wilkinson · 진행자 Lenny RachitskyThe co-founder of Tiny, the "Berkshire Hathaway of the internet", explains how to pick a startup idea, how he runs his life on AI agents, and what actually changed his happiness.
42:16ENThe Product Discipline Behind a Driverless Ride진행자 Lenny RachitskyShweta Shrivastava of Waymo explains how autonomous-driving products earn trust, measure safety, and sustain long-term investment.
1:02:57ENVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the Clinic진행자 Nathan LabenzTanishq Mathew Abraham explains how deep learning turns label-free 3D tissue images into virtual H&E stains fast enough to guide tumor surgery.
1:17:46ENShopify’s Anti-Playbook: Optimize for Churn, Hold Experiments for Years, and Ban KPIs진행자 Lenny RachitskyArchie Abrams explains how Shopify grows by lowering barriers, measuring cohort GMV, running multi-year holdouts, and letting a 100-year vision guide core product.
1:44:26ENFind the Must-Have Users First: Sean Ellis on Product-Market Fit and Sustainable Growth게스트 Sean Ellis · 진행자 Lenny RachitskyThe creator of the Sean Ellis test and the ICE framework explains how to measure product-market fit, learn from the users who love you, and then grow in the right order.
1:04:35ENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent Care진행자 Jacob EffronMario, Oscar Health's CTO and co-founder, explains how a regulated insurer deploys LLMs today and what stands between healthcare and AI doctors.
23:57ENWrite Your Last Roadmap: Claire Vo on Building When Code Is Cheap진행자 Lenny RachitskyIn a talk at the Lenny and Friends Summit, Claire Vo argues that cheap AI execution has made feature roadmaps dangerous and that teams should plan around convictions and evidence instead.
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