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1:26:57EN
Cognitive Revolution "How AI Changes Everything"· 2023년 2월 10일팟캐스트Nine Moats, a Cloud-Shaped Market, and Why OpenAI Is Not Optional Yet진행자 Nathan LabenzNathan Labenz and Erik Torenberg pressure-test the leaked “no moats” memo and walk through where advantage actually lives in generative AI.기업과 전략AI StrategyCompany Building+3
1:30:46EN
Lenny's Podcast팟캐스트Skip the Funnel of Doom: Cursor's Playbook for Hiring the Top 50진행자 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.기업과 전략Company BuildingLeadership+3
1:15:29EN
Lenny's Podcast팟캐스트The Zero-Day Marketing Exploits Behind Breakout Startups진행자 Lenny RachitskyAlistair Croll explains how founders can find unfair distribution advantages by subverting platforms, norms, and regulations—without actually being evil.제품과 UXGo-to-MarketGrowth Strategy+3
1:27:23EN
Lenny's Podcast팟캐스트Going All In on AI at Cisco: Jeetu Patel on Platforms, Packet Loss and Telling People the Truth진행자 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.기업과 전략엔터프라이즈 AIAI Strategy+3
1:37:29EN
Lenny's Podcast팟캐스트Inside Palantir's Founder Factory: Forward-Deployed Engineers, Ontologies and Deliberately Off-Putting Hiring진행자 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.기업과 전략Forward-deployed engineeringCompany Building+3
1:05:22EN
Unsupervised Learning: With Jacob Effron팟캐스트Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents진행자 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.제품과 UXCompany BuildingAI startups & small teams+3
1:22:39EN
Lenny's Podcast팟캐스트Barrels, Undiscovered Talent and Ugly Babies: Keith Rabois on Building Companies in the AI Era진행자 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.기업과 전략Company BuildingLeadership+3
54:44EN
Unsupervised Learning: With Jacob Effron팟캐스트Legal Tech's Step-Function Moment: Why Legora Bet on the Last 20%진행자 Jacob EffronLegora CEO Max explains the $550M Series D, AI-native legal work, foundation-model competition, and the culture required to keep moving fast.기업과 전략Company BuildingAI startups & small teams+3
1:24:19EN
Lenny's Podcast팟캐스트The Product Owner Trap: Why SAFe Creates Order-Takers and How to Build Real Product Management at Scale진행자 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.제품과 UXProduct ManagementProduct Leadership+3
1:40:40EN
Lenny's Podcast팟캐스트The Keeper of the Flame: Figma's Mihika Kapoor on Vision, Conviction, and Building Zero to One Inside a Company진행자 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.제품과 UXProduct ManagementProduct Strategy+3
1:31:56EN
Lenny's Podcast팟캐스트Give Away Your Legos: Molly Graham's Handbook for Leading Through Hypergrowth진행자 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.기업과 전략LeadershipCareer Growth+3
1:41:43EN
Lenny's Podcast팟캐스트Pumping Heat Into the Infinite Game: Tobi Lütke on First Principles and Human Potential진행자 Lenny RachitskyShopify's founder explains how dissatisfaction with the status quo, long time horizons, and unquantifiable taste drive better products and companies.기업과 전략LeadershipCompany Building+3
1:12:07EN
Lenny's Podcast팟캐스트Systems Thinkers Over Specialists: Netflix CPTO Elizabeth Stone on Talent, AI and Excellence as an Operating System진행자 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.기업과 전략AI StrategyLeadership+3
1:38:14EN
Lenny's Podcast팟캐스트The Conductor's Playbook: Naomi Gleit on Growth, Clarity, and Building at Meta진행자 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.제품과 UXProduct LeadershipGrowth Strategy+3
1:24:58EN
Lenny's Podcast팟캐스트Fewer PMs, More Reps: Whatnot's CPO on Why Senior Product People Should Go Back to Doing the Work진행자 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.제품과 UXProduct ManagementProduct Leadership+3
1:19:25EN
Lenny's Podcast팟캐스트Inside Mercado Libre: How 18,000 Engineers Ship 30,000 Changes a Day Without an Army of PMs진행자 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.기업과 전략LeadershipCompany Building+3
1:01:47EN
Unsupervised Learning: With Jacob Effron팟캐스트Inside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partners진행자 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.제품과 UXProduct Strategy엔터프라이즈 AI+3
1:21:08EN
Lenny's Podcast팟캐스트Speed Is a Symptom of Competence: How Linear Builds Beloved B2B Software진행자 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.제품과 UXProduct StrategyProduct Management+3
1:09:31EN
Unsupervised Learning: With Jacob Effron팟캐스트The Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learning진행자 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.제품과 UXAI startups & small teamsCompany Building+3
1:22:43EN
Lenny's Podcast팟캐스트A Colleague With Its Own Computer: How a Small Team Built Grok Bot in a Month진행자 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.에이전트에이전트 엔지니어링Product Strategy+3
1:30:59EN
Lenny's Podcast팟캐스트The SEO Playbook: Why Topics Beat Keywords and Shipping Beats Strategy진행자 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.제품과 UXGrowth StrategyGo-to-Market+3
51:30EN
Unsupervised Learning: With Jacob Effron팟캐스트Less Email, Better Thinking: Grammarly’s CEO on AI That Augments Communication진행자 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.제품과 UXProduct Strategy엔터프라이즈 AI+3
10:17EN
Lex Fridman팟캐스트Why Great Robots Fail as Businesses, and What iRobot Got Right진행자 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.제품과 UXCompany BuildingProduct-Market Fit+3
1:04:25EN
Unsupervised Learning: With Jacob Effron팟캐스트Inside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Endures진행자 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.코딩 에이전트Developer productivityAI Product Management+3
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