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1:24:03ENBuilding a Marketplace: Lessons from Lyft and Thumbtack on Liquidity, Supply and Control게스트 Benjamin Lauzier · 진행자 Lenny RachitskyFormer Thumbtack product and growth VP Benjamin Lauzier explains how to start a marketplace, measure its health, and grow supply cleverly, drawing on his years at Lyft.
53:13ENHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene Segmentation진행자 Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the basics of image classification through landmark network architectures to pixel-level segmentation, optical flow and the SegFuse competition.
1:11:51ENBuild the Skeleton Before the Makeup: Deel’s Playbook for $0 to $295M ARR진행자 Lenny RachitskyMeltem Kuran Berkowitz explains how Deel used question-answering communities, disciplined SEO, long-tail paid bets and revenue-accountable hiring to scale.
34:33ENTeaching Cars to Watch the Driver: Deep Learning for Semi-Autonomous Vehicles진행자 Lex FridmanLex Fridman's MIT 6.S094 lecture on using driver-facing cameras and neural networks to understand body pose, gaze, emotion and cognitive load.
21:31ENRowing or Steering: How Atlassian's PMs Became AI Builders진행자 Lenny RachitskyAtlassian CPO Tamar Yehoshua explains, through three internal projects, when product managers should write code and when they should guide the team.
1:46:33ENFrom Chaos to a Failure Map: A Hands-On Primer on AI Evals게스트 Hamel Husain, Shreya Shankar · 진행자 Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.
1:04:09ENA Developer in Your Pocket: Replit's Amjad Masad on What Happens When Everyone Can Build Software게스트 Amjad Masad · 진행자 Lenny RachitskyReplit's co-founder demos an agent that builds a full-stack app in minutes, then explains what it means for product managers, designers, engineers and founders.
1:16:52ENMamba After 90 Days: What 30 Papers Reveal About State Space Models, Hybrids, and Mixture of Experts진행자 Nathan LabenzNathan Labenz and AI scout Jason Meaux survey the first wave of Mamba-inspired research, from mechanistic studies and synthetic-task tradeoffs to hybrid architectures and MoE variants.
35:37ENPricing the Future: Kalshi's Tarek Mansour on Winning the Right to Trade Elections진행자 Sarah Guo, Elad GilThe Kalshi CEO explains how his regulated exchange beat the CFTC in court, why he sees event contracts as hedging rather than gambling, and why he thinks market prices beat polls and pundits.
1:23:36ENYou Are Not a Marketplace Founder (Yet): A Stanford Professor on Friction, Data and Experiments게스트 Ramesh Johari · 진행자 Lenny RachitskyRamesh Johari explains what marketplaces really sell, why prediction is not decision-making, and how experiments and rating systems should be designed.
1:12:04ENBeyond the Chat Box: OpenAI's Head of Design on Adaptive Interfaces and the Designer's Future진행자 Lenny RachitskyIan Silber, head of product design at OpenAI, discusses designer anxiety, shifting roles, designing for a billion very different users, and where ChatGPT and Codex are headed.
1:56:31ENSpeak Before You Think: Tristan de Montebello's Games and Methods for Becoming a Better Speaker게스트 Tristan de Montebello · 진행자 Lenny RachitskyThe Ultraspeaking co-creator explains why speaking is a meta skill, then walks Lenny Rachitsky through live practice games and two methods for preparing talks.
17:32ENOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memes진행자 Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.
1:33:38ENSell Before You Tell: Wes Kao's Tactics for Communication That Actually Lands진행자 Lenny RachitskyExecutive-communication teacher Wes Kao breaks down the frameworks — sales before logistics, signposting, MOO, CEDAF — that turn clear thinking into buy-in.
1:19:50ENIt's 1997 for AI: Benedict Evans on Why It's a Huge Deal, but Only as Big as the Internet진행자 Lenny RachitskyAnalyst Benedict Evans explains why he thinks AI is as big as the internet or mobile and no bigger, and what that means for jobs, model companies, distribution and the backlash.
1:24:37ENTools Exist to Solve Problems: Austin Hay's Practical Guide to Marketing Technology게스트 Austin Hay · 진행자 Lenny RachitskyRamp's head of marketing technology explains what MarTech is, where it sits in the org, how to build the data stack, and how to hire for it.
1:29:39ENFive Customers, Three Prototypes, One Day: How to Find Your Bullseye Customer진행자 Lenny RachitskyMichael Margolis of GV explains how to narrow to the customer most likely to adopt first — and how to prove it with a one-day research sprint.
33:31ENOpen Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions진행자 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.
1:19:39ENEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months진행자 Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.
45:00ENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure진행자 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.
1:31:56ENPerfect Is Creepy: What a Child Psychologist Knows About Leading Difficult Adults진행자 Lenny RachitskyDr. Becky Kennedy explains how the principles she uses to raise resilient kids apply to managers, teams and colleagues.
1:04:06ENBuild the Model, Then Garden the Marketplace: Dan Hockenmaier on Growth Models and Marketplace Strategy게스트 Dan Hockenmaier · 진행자 Lenny RachitskyFaire's head of strategy and analytics explains how to build a growth model, which marketplace metrics matter, and why marketplaces demand a light touch.
54:52ENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier진행자 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.
1:28:38ENBuild for Feelings, Not Graphs: Inside The Browser Company's Product Philosophy게스트 Josh Miller · 진행자 Lenny RachitskyJosh Miller, CEO of The Browser Company, explains how Arc is built around emotions, values, a tiny-but-unusual team and a bet on the internet as the next computer.
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