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1:40:51ENBuilding a Friend, Not an Assistant: Replika's Eugenia Kuyda on Conversational AI and Its LimitsAnime : Nathan LabenzThe founder of Replika explains why she treats conversation as the product itself, how the company measures emotional outcomes, and why it pulled back from erotic roleplay.
1:33:28ENWorking Backwards: How Amazon Turned Customer Obsession into a Repeatable Operating SystemInvité : Bill Carr · Anime : Lenny RachitskyFormer Amazon VP Bill Carr explains the PR/FAQ, single-threaded leaders, input metrics, disagree-and-commit and Bar Raisers, and how other companies can adopt them.
1:26:02ENGo-to-Market as a Product: Inside Vercel's Agent-Powered Sales MachineInvité : Jeanne DeWitt Grosser · Anime : Lenny RachitskyVercel COO and former Stripe sales leader Jeanne DeWitt Grosser explains how go-to-market engineers, AI agents and product thinking are reshaping sales.
1:17:18ENInside Ramp's Growth Engine: Velocity, Payback Period and Failing ConclusivelyInvité : Sri Batchu · Anime : Lenny RachitskyRamp's head of growth Sri Batchu explains how the fastest-growing SaaS company in history organizes its growth teams, picks metrics, runs experiments and hires.
1:33:33ENThe Art of Influence: Treat Your Executive Like Your Most Important UserAnime : Lenny RachitskyWebflow product leader and former Slack chief of staff Jessica Fain explains how executives really decide, and why influence matters even more in the age of AI.
45:46ENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfaceAnime : Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
1:35:07ENTony Fadell on Taste, Opinionated Product Decisions, and Refusing to Surrender to AIAnime : Lenny RachitskyThe iPod and iPhone veteran explains how v1 products get built on informed opinion, why marketing is part of the product, and where AI helps or hurts builders.
1:24:50ENCrossing the Chasm, Explained by Its Author: Start Small, Win a Segment, Then ScaleInvité : Geoffrey Moore · Anime : Lenny RachitskyGeoffrey Moore walks through the technology adoption lifecycle, the four go-to-market playbooks that fit each stage, and the mistakes that keep B2B startups stuck.
1:19:36ENWise and Curious: Chip Conley on Mentoring Brian Chesky, Dying Nine Times and Learning to Love MidlifeAnime : Lenny RachitskyThe hotelier who became Airbnb's "modern elder" at 52 on working for a founder in founder mode, why age diversity is a team asset, and what a near-death experience taught him.
1:07:32ENReplacing the PM with the Full-Stack Builder: How LinkedIn Is Rebuilding Product Development for AIAnime : Lenny RachitskyLinkedIn's chief product officer Tomer Cohen explains the full-stack builder model, the custom agents behind it, and the culture work that decides whether it succeeds.
1:23:01ENThe Meteor Is Coming: Intercom's Paul Adams on Going All In on AIInvité : Paul Adams · Anime : Lenny RachitskyIntercom's chief product officer talks about the failures that shaped him, how Intercom ripped up its strategy after ChatGPT, and the simple frameworks he uses to decide what to build.
1:24:30ENFrom Curation to Recommendation to Generation: Spotify's Gustav Söderström on Rethinking ProductInvité : Gustav Soderstrom · Anime : Lenny RachitskySpotify's co-president and CPO/CTO explains the AI DJ, a bruising homepage redesign, why squads gave way to VP-level autonomy, and what generative music might mean.
1:14:03ENThere Is No Marketing Playbook: Krithika Shankarraman's DATE FrameworkInvité : Krithika Shankarraman · Anime : Lenny RachitskyThe first marketing hire at OpenAI and Stripe explains why diagnosing your own problem beats copying other companies' tactics.
1:17:44ENStart at Chapter One: Casey Winters on Executive Communication, Unsexy Work and Growth LoopsInvité : Casey Winters · Anime : Lenny RachitskyEventbrite CPO Casey Winters shares what he has learned about product leadership, simplicity at scale, strategy as the great career filter, and the current state of growth.
1:41:26ENThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on ScalingAnime : Nathan LabenzNathan Labenz closes his AP-course tour of AI with capabilities, market moats, jobs, law, safety plans and a stance on what to do next.
57:21ENGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build NextAnime : Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
1:27:30ENFrom NAND Gates to Self-Driving Traffic: Deep Reinforcement Learning in One LectureAnime : Lex FridmanLex Fridman's second MIT 6.S094 lecture walks from the humble perceptron to deep Q-learning and the browser-based DeepTraffic competition.
18:02ENYour Career Is the Most Important Product You'll Ever ShipAnime : Lenny RachitskyA product-leadership framework for navigating dozens of jobs, building career stories, avoiding burnout, and turning reputation into opportunity.
12:01ENThe Big Nap: Why Eric Weinstein Thinks the Pandemic Ends 75 Quiet YearsInvité : The Big Nap · Anime : Lex FridmanIn an April 2020 conversation, Eric Weinstein and Lex Fridman discuss what a global crisis reveals about collective action, fragility, and the institutions we treat as museum pieces.
1:05:15ENTaming the Long Tail: How Waymo Builds a Self-Driving FactoryAnime : Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.
54:05ENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a MeetingAnime : Jacob EffronHow an AI-native employee-support startup attacks a legacy ITSM incumbent with velocity, code-generated workflows and a permissions-first architecture.
1:27:15ENPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement LearningAnime : Lex FridmanOpenAI's John Schulman walks through the core methods of deep RL, from the score function estimator to TRPO and DQN, and says when each one is worth using.
1:25:34ENShipping in Days: How Claude Code's Head of Product Runs a Team at AI SpeedAnime : Lenny RachitskyCat Wu, Head of Product for Claude Code and Cowork at Anthropic, explains how the PM role, hiring, tooling and culture change when features go from idea to users in a week or less.
1:24:38ENPlant Seeds, Don't Pour Concrete: Alex Komoroske on Gardening Your Way Through the LLM EraInvité : Alex Komoroske · Anime : Lenny RachitskyA former Google and Stripe strategist explains why LLMs are "magical duct tape," how organizations lie to themselves, and why gardeners beat builders when the playbook is changing.
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