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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.
1:26:39ENCare Personally, Challenge Directly: Kim Scott on Making Feedback a Team Superpower게스트 Kim Scott · 진행자 Lenny RachitskyThe author of Radical Candor explains the framework, the mistakes most managers make, and a step-by-step routine for asking for, giving and rewarding feedback.
12:16ENRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experiment진행자 Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.
45:16ENSeth Godin on Taste, Tension, and the Four Choices That Shape Strategy진행자 Lenny RachitskySeth Godin explains how product leaders can build taste, make and keep a brand promise, choose the right customers and distribution, and design remarkable products that spread.
1:12:13ENOne Wish From a Genie: A Stanford Professor's Method for Getting Off Autopilot게스트 Graham Weaver · 진행자 Lenny RachitskyGraham Weaver, a Stanford GSB lecturer and founder of Alpine Investors, shares practical exercises for working out what you actually want to do with your life and staying with it long enough to succeed.
1:31:26ENMake Individual Contributors Love You First: Inside Figma's Bottom-Up Growth Playbook게스트 Claire Butler · 진행자 Lenny RachitskyClaire Butler, Figma's 10th employee and first marketer, explains the two-step go-to-market motion behind Figma's growth: win over individual contributors, then help them spread the product through their companies.
20:45EN17 Interview Questions That Reveal How Candidates Think진행자 Lenny RachitskyLenny distills favorite interview questions from more than 100 podcast guests into a practical guide for hiring and being hired.
23:54ENBeyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI진행자 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
1:41:33ENTwo Days to a Founding Hypothesis: Inside the Foundation Sprint진행자 Lenny RachitskyDesign Sprint creators Jake Knapp and John Zeratsky walk through a scripted 10-hour process that pins down customer, differentiation and approach before a startup builds anything.
1:42:05ENSlow Down to Grow Faster: Bangaly Kaba on Understand Work, Adjacent Users and Career Choices게스트 Bangaly Kaba · 진행자 Lenny RachitskyThe former Instagram head of growth and current YouTube product director explains how to choose where to work, why teams should invest in understanding before executing, and how he found growth levers at Facebook, Instagram and Instacart.
1:25:50ENThe Skip, the Sidecar, and the Rabbit You Should Never Catch: Nikhyl Singhal on Building a 60-Year Product Career진행자 Lenny RachitskyMeta and former Credit Karma product leader Nikhyl Singhal explains how to plan a career backwards from the job after next, spot ex-growth companies, diagnose a stalled promotion, and survive the success you've been chasing.
1:37:56ENMove Fast, Own the Details: What Binance, Agoda and N26 Taught Mayur Kamat About Product게스트 Mayur Kamat · 진행자 Lenny RachitskyN26's Chief Product Officer on running products through daily meetings, choosing jobs by strengths and compounding, and why experiments beat strategy decks.
59:19ENThe Layering Game: Elena Verna on Product-Led Growth, Product-Led Sales, and Smarter Freemium진행자 Lenny RachitskyA growth strategist explains how B2B companies should sequence product-led and sales-led motions without crushing the user engine that created them.
1:21:13ENBad Friction, Good Friction: Laura Schaffer on User Psychology and Growth Experiments게스트 Laura Schaffer · 진행자 Lenny RachitskyThe new head of growth at Amplitude explains how she built a growth team at Twilio, why most experiments fail, and why the user's state of mind decides what converts.
1:19:52ENFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End Driving진행자 Lex FridmanLex Fridman's MIT 6.S094 lecture explains how convolutional neural networks work, where deep learning helps a self-driving car, and how to train a network to steer from video.
12:53ENPrinciples, Not Black Boxes: Ray Dalio on When to Trust AI게스트 Ray Dalio · 진행자 Lex FridmanRay Dalio explains how Bridgewater turns human thinking into algorithms, why machine learning is risky when the future differs from the past, and why writing down principles is the route to better decisions.
1:16:16ENSharp Problems, Real Virality: Oji Udezue's Playbook for Product-Led Growth게스트 Oji Udezue · 진행자 Lenny RachitskyTypeform's chief product officer draws on Microsoft, Atlassian, Calendly and Twitter to explain how to pick a problem, find your ICP, onboard users and earn word of mouth.
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