絞り込み結果
112 件並び順
1:26:57ENNine Moats, a Cloud-Shaped Market, and Why OpenAI Is Not Optional Yetホスト Nathan LabenzNathan Labenz and Erik Torenberg pressure-test the leaked “no moats” memo and walk through where advantage actually lives in generative AI.
1:30:46ENSkip the Funnel of Doom: Cursor's Playbook for Hiring the Top 50ホスト Lenny RachitskyAdam Ward, Cursor's head of talent, explains how to scope, map and relentlessly pursue the best people instead of hiring whoever survives a recruiting funnel.
1:15:29ENThe Zero-Day Marketing Exploits Behind Breakout Startupsホスト Lenny RachitskyAlistair Croll explains how founders can find unfair distribution advantages by subverting platforms, norms, and regulations—without actually being evil.
1:27:23ENGoing All In on AI at Cisco: Jeetu Patel on Platforms, Packet Loss and Telling People the Truthホスト Lenny RachitskyCisco's president and chief product officer explains how a 90,000-person company went AI-first, what Cisco does in the AI infrastructure stack, and the leadership and career lessons behind it.
1:37:29ENInside Palantir's Founder Factory: Forward-Deployed Engineers, Ontologies and Deliberately Off-Putting Hiringホスト Lenny RachitskyFormer Palantir engineer Nabeel Qureshi explains how a services-heavy company became a data-platform giant, and why it keeps producing founders and product leaders.
1:05:22ENBuild First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agentsホスト Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.
1:22:39ENBarrels, Undiscovered Talent and Ugly Babies: Keith Rabois on Building Companies in the AI Eraホスト Lenny RachitskyKhosla Ventures' Keith Rabois explains how he spots talent, why he avoids customer feedback for consumer products, and how AI is reshaping product, design and engineering roles.
54:44ENLegal Tech's Step-Function Moment: Why Legora Bet on the Last 20%ホスト Jacob EffronLegora CEO Max explains the $550M Series D, AI-native legal work, foundation-model competition, and the culture required to keep moving fast.
1:24:19ENThe Product Owner Trap: Why SAFe Creates Order-Takers and How to Build Real Product Management at Scaleホスト Lenny RachitskyMelissa Perri explains the history of Scrum and SAFe, why product owners often become backlog clerks, and how large organizations can reconnect product work to customer value.
1:40:40ENThe Keeper of the Flame: Figma's Mihika Kapoor on Vision, Conviction, and Building Zero to One Inside a Companyホスト Lenny RachitskyA Figma PM's field guide to crafting a vision people can see, engineering hype honestly, and keeping a new idea alive inside a large company.
1:31:56ENGive Away Your Legos: Molly Graham's Handbook for Leading Through Hypergrowthホスト Lenny RachitskyMolly Graham walks through the frameworks she built at Google, Facebook, Quip and CZI, from giving away your Legos and the J-curve to the waterline model and six rules for goals.
1:41:43ENPumping Heat Into the Infinite Game: Tobi Lütke on First Principles and Human Potentialホスト Lenny RachitskyShopify's founder explains how dissatisfaction with the status quo, long time horizons, and unquantifiable taste drive better products and companies.
1:12:07ENSystems Thinkers Over Specialists: Netflix CPTO Elizabeth Stone on Talent, AI and Excellence as an Operating Systemホスト Lenny RachitskyNetflix's chief product and technology officer explains why blurred roles are still a storming phase, what skills she is hiring for, and how the company keeps a high bar as AI changes how work gets done.
1:38:14ENThe Conductor's Playbook: Naomi Gleit on Growth, Clarity, and Building at Metaホスト Lenny RachitskyMeta's head of product explains how she created her own luck, built the early growth playbook, and runs complex product teams with extreme clarity.
1:24:58ENFewer PMs, More Reps: Whatnot's CPO on Why Senior Product People Should Go Back to Doing the Workホスト Lenny RachitskyTom Verrilli explains why Whatnot built its product team on the premise that it regrets product management exists, and what that means for hiring, AI tooling and the shape of the role.
1:19:25ENInside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMsホスト Lenny RachitskySebastian Barrios, formerly head of product and engineering at Mercado Libre and now SVP of Engineering at Roblox, explains how a Latin American giant runs engineering and product as one team.
1:01:47ENInside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partnersホスト Jacob EffronNotion AI engineer Linus Lee explains how a dozen-person team went from a hotel-room hackathon to Writer, Autofill and workspace Q&A.
1:21:08ENSpeed Is a Symptom of Competence: How Linear Builds Beloved B2B Softwareホスト Lenny RachitskyNan Yu explains Linear’s operating principles for fast iteration, resisting bloat, discovering emotional customer pain, and making product management a go-to-market discipline.
1:09:31ENThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learningホスト Jacob EffronHow Speak's CEO is building a fluency product one model-capability step at a time, from specialized speech models to evals, pricing, and the future of education.
1:22:43ENA Colleague With Its Own Computer: How a Small Team Built Grok Bot in a Monthホスト Lenny RachitskyRoman Ugarte of SpaceXAI explains the decisions, hand-held onboarding and product philosophy behind Grok Bot, and what Cursor's culture taught him about staying ahead.
1:30:59ENThe SEO Playbook: Why Topics Beat Keywords and Shipping Beats Strategyホスト Lenny RachitskyEthan Smith, CEO of Graphite, explains when SEO is worth investing in, how to reverse-engineer the page types Google rewards, and why most SEO strategies never get built.
51:30ENLess Email, Better Thinking: Grammarly’s CEO on AI That Augments Communicationホスト Jacob EffronGrammarly CEO Rahul explains how the company is moving from grammar checks to end-to-end communication assistance—and why evals, user data, and measurable outcomes matter.
10:17ENWhy Great Robots Fail as Businesses, and What iRobot Got Rightホスト Lex FridmaniRobot co-founder Colin Angle explains why so many robotics companies collapse and how cost, vision and a clear user need shaped the Roomba.
1:04:25ENInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Enduresホスト Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.
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