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Lenny's Podcast: Product | Career | Growth

Lenny Rachitsky
Lenny's Podcast: Product | Career | Growth
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  • $46B of hard truths from Ben Horowitz: Why founders fail and why you need to run toward fear (a16z co-founder)
    Ben Horowitz is the co-founder of Andreessen Horowitz, Silicon Valley’s largest and most influential venture capital firm, with over $46B in committed capital across multiple funds. He took Loudcloud public with just $2 million in revenue (dubbed “the IPO from hell”), sold it for $1.6 billion, and has backed companies from Facebook to Stripe to Airbnb to OpenAI to Databricks (now worth more than $100 billion). His management philosophy—forged through near-death experiences and refined through coaching hundreds of CEOs—contradicts most conventional startup wisdom.In our conversation, Ben shares:1. Why “founder mode” is half right and half dangerously wrong2. The story behind “Good Product Manager/Bad Product Manager” and why it went viral despite being written in anger3. Where the biggest AI startup opportunities remain4. Why you need to run toward fear, never away5. The one trait that predicts that a founder will fail as CEO6. Inside Paid in Full, Ben’s nonprofit awarding pensions to pioneering hip-hop artists—Brought to you by:DX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyMiro—A collaborative visual platform where your best work comes to life: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/172439345/my-biggest-takeaways-from-this-conversation—Where to find Ben Horowitz:• X: https://x.com/bhorowitz• LinkedIn: https://www.linkedin.com/in/behorowitz/• Website: https://benhorowitz.com/• Andreessen Horowitz’s website: https://a16z.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Ben Horowitz(04:09) Important leadership lessons from Shaka Senghor(10:15) Running toward fear and why hesitation kills companies(19:35) Who shouldn’t start a company(22:36) The Databricks story: thinking bigger(24:54) Managerial leverage and CEO psychology(28:06) When founders should be replaced as CEOs(31:20) Normalizing failure for CEOs(37:57) Counterintuitive lessons about building companies(42:31) “Good Product Manager/Bad Product Manager”(48:21) Product managers as leaders(51:16) Why a16z invested in Adam Neumann after WeWork(56:23) Is AI in a bubble?(01:02:43) The biggest opportunities in AI(01:12:51) Why U.S. leadership in AI matters(01:18:53) The Paid in Full Foundation for hip-hop pioneers(01:23:18) Lightning round: book recommendations, products, and life mottos—References: https://www.lennysnewsletter.com/p/46b-of-hard-truths-from-ben-horowitz—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected] may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
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  • How AI is reshaping the product role | Oji and Ezinne Udezue
    Ezinne and Oji Udezue have over 50 years of combined product leadership experience at Microsoft, Twitter, Atlassian, WP Engine, Typeform, and Calendly. They’ve witnessed every major shift in product management, and, despite their seniority, they’re taking beginner AI courses and learning from engineers half their age, and Oji is coding more now than in the past decade—from Waterfall to Agile to AI. They are also the authors of Building Rocketships, a guide to building great products. In this conversation, the couple shares hard-won lessons they’ve learned from companies successfully adapting to AI, including their “shipyard” framework and their “sharp problem” methodology.What you’ll learn:1. The “shipyard” framework: why the best AI teams embrace controlled chaos2. Why Oji writes more code now than in the past 10 years—despite being a PM for more than 25 years3. The three skills that matter most for PMs in 2025: curiosity, humility, and agency4. How to identify “sharp problems”5. AI at the core vs. AI at the edge: why companies that are building entirely new AI-centric codebases will beat those just “sprinkling AI” on existing products6. The counterintuitive truth: engineers are moving so fast with AI that PMs are now the bottleneck7. Their biggest product lesson from 50 combined years—Brought to you by:Mercury—The art of simplified financesVanta—Automate compliance. Simplify security.Coda—The all-in-one collaborative workspace—Where to find Oji and Ezinne:• ProductMind on Substack: https://substack.com/@ojiudezue• ProductMind on LinkedIn: https://www.linkedin.com/company/productmindco• ProductMind on YouTube: https://www.youtube.com/@ProductMindX/videos• ProductMind on Spotify: https://open.spotify.com/show/07OVh5pdSv0szHPwWktzQQ• ProductMind website: https://www.productmind.co/• Oji on LinkedIn: https://www.linkedin.com/in/ojiudezue/• Ezinne on LinkedIn: https://www.linkedin.com/in/ezinne/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Oji and Ezinne(04:14) The evolving role of product managers(08:01) Challenges and opportunities in product management(10:34) Sharp problems(12:37) The shipyard model for product development(17:02) Hiring PMs in the AI era(24:55) The importance of staying humble(27:16) Hands-on learning and personal projects(39:10) Companies succeeding with AI adoption(46:25) Lessons from 50 years in product(49:22) Simplicity in design(51:24) The role of communication in strategy(55:17) Career intentions and personal growth(01:00:00) Ethics and responsibility in product management(01:03:09) Introducing Building Rocketships(01:06:42) Lightning round and final thoughts—Referenced:• How 80,000 companies build with AI: products as organisms, the death of org charts, and why agents will outnumber employees by 2026 | Asha Sharma (CVP of AI Platform at Microsoft): https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma• Picking sharp problems, increasing virality, and unique product frameworks | Oji Udezue (Typeform, Twitter, Calendly, Atlassian): https://www.lennysnewsletter.com/p/picking-sharp-problems-increasing• Atlassian: https://www.atlassian.com/• Joff Redfern on LinkedIn: https://www.linkedin.com/in/mejoff/• Brownian motion: https://en.wikipedia.org/wiki/Brownian_motion• Calendly: https://calendly.com/• Women in Product: https://womenpm.org/• Brian Chesky’s secret mentor who died 9 times, started the Burning Man board, and built the world’s first midlife wisdom school | Chip Conley (founder of MEA): https://www.lennysnewsletter.com/p/chip-conley• Home Assistant: https://www.home-assistant.io/• What people are vibe coding (and actually using): https://www.lennysnewsletter.com/p/what-people-are-vibe-coding-and-actually• How many layers should I wear today?: https://layers.today/• Typeform: https://www.typeform.com/• David Okuniev on X: https://x.com/okuiux• Clay: https://www.clay.com/• Martin Eriksson on LinkedIn: https://www.linkedin.com/in/martineriksson/• Geoffrey Moore on finding your beachhead, crossing the chasm, and dominating a market: https://www.lennysnewsletter.com/p/geoffrey-moore-on-finding-your-beachhead• Dave Mendlen on LinkedIn: https://www.linkedin.com/in/davemendlen/• Deepfake: https://en.wikipedia.org/wiki/Deepfake• How to kickstart and scale a marketplace business: https://www.lennysnewsletter.com/p/how-to-kickstart-and-scale-a-marketplace• Forever on Netflix: https://www.netflix.com/title/81418639• Paradise on Hulu: https://www.hulu.com/series/paradise-2b4b8988-50c9-4097-bf93-bc34a99a5b4f• Sinners: https://www.imdb.com/title/tt31193180/• Claude: https://claude.ai/• Nespresso Vertuo: https://www.nespresso.com/us/en/vertuo-coffee-machines• Gamma: https://gamma.app/• Framer: https://www.framer.com/• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Llama: https://www.llama.com/—Recommended books:• Building Rocketships: Product Management for High-Growth Companies: https://www.amazon.com/Building-Rocketships-Management-High-Growth-Companies/dp/1962339068• Coda version of Building Rocketships: https://www.productmind.co/brpro• Build: An Unorthodox Guide to Making Things Worth Making: https://www.amazon.com/Build-Unorthodox-Guide-Making-Things/dp/0063046067• The Let Them Theory: A Life-Changing Tool That Millions of People Can’t Stop Talking About: https://www.amazon.com/Let-Them-Theory-Life-Changing-Millions/dp/1401971369/Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com
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  • How we restructured Airtable’s entire org for AI | Howie Liu (co-founder and CEO)
    Howie Liu is the co-founder and CEO of Airtable, the no-code platform valued at around $12 billion. After a viral tweet declared “Airtable is dead” based on incorrect data, Howie led a radical transformation: reorganizing the entire company around AI, becoming an “IC CEO” who codes daily, and achieving over $100 million in free cash flow.What you’ll learn:1. The “fast thinking” vs. “slow thinking” team structure that lets Airtable ship AI features weekly (inspired by Daniel Kahneman)2. Why Howie uses AI hourly (not daily) and is Airtable’s #1 inference-cost user globally3. Why CEOs must become ICs again in the AI era (and how to restructure your calendar to make it possible)4. Why “playing” with AI tools should be mandatory—Howie tells employees to cancel all meetings for a week to experiment5. The specific skills product managers, engineers, and designers need to develop to succeed in the AI era6. Why evals can kill innovation (and when to use “vibes” instead)—Brought to you by:LucidLink—Real-time cloud storage for teamsDX—The developer intelligence platform designed by leading researchersClaude.ai—The AI for problem solvers and enterprise—Where to find Howie Liu• X: https://x.com/howietl• LinkedIn: https://www.linkedin.com/in/howieliu/• Email: [email protected]—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Howie Liu and Airtable(04:05) The “Airtable is dead” viral tweet controversy(08:07) The rise of IC CEOs(10:57) AI’s paradigm shift in product development(16:27) Specific changes Airtable has made(21:38) Fast- and slow-thinking teams(32:57) The emergence of new form factors in AI models(34:48) Airtable’s vision and philosophy(40:20) Empowering teams with AI tools(46:50) Encouraging experimentation and play(50:55) Cross-functional skills in product teams(01:03:35) The importance of evals and open-ended testing(01:08:06) Key strategies for AI-driven success(01:12:43) Counterintuitive startup wisdom(01:22:21) Don't step away from the details that you love(01:25:50) Advice for aspiring engineers and designers(01:30:00) Lightning round and final thoughts—Referenced:• Airtable: https://www.airtable.com/• All In podcast: https://allin.com/• Nikita Bier on X: https://x.com/nikitabier• Figma: https://www.figma.com/• The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code | Dan Shipper (co-founder and CEO of Every): https://www.lennysnewsletter.com/p/inside-every-dan-shipper• Every: https://every.to/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Rippling: https://www.rippling.com/• Omni: https://www.airtable.com/lp/ai-psu-plp• How ChatGPT accidentally became the fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Palantir: https://www.palantir.com/• Harvey: https://www.harvey.ai/• v0: https://v0.dev/• Everyone’s an engineer now: Inside v0’s mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com/• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Runway Game Worlds: https://play.runwayml.com/login• Sesame: https://www.sesame.com• NotebookLM: https://notebooklm.google• Salesforce: https://www.salesforce.com• Andrew Ofstad on LinkedIn: https://www.linkedin.com/in/aofstad/• Stripe: https://stripe.com/• Eames chair: https://en.wikipedia.org/wiki/Eames_Lounge_Chair• OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• IDEO design thinking: https://designthinking.ideo.com/• Brian Chesky’s new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• The Studio on AppleTV+: https://tv.apple.com/us/show/the-studio/umc.cmc.7518algxc4lsoobtsx30dqb52• Silicon Valley on HBOMax: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Self Edge: https://www.selfedge.com/• Studio D’Artisan: https://www.selfedge.com/studio-dartisan• Whitesville T-shirt: https://store.toyo-enterprise.co.jp/shopbrand/ct48/• Guest Series | Dr. Paul Conti: How to Understand & Assess Your Mental Health: https://www.hubermanlab.com/episode/guest-series-dr-paul-conti-how-to-understand-and-assess-your-mental-health—Recommended books:• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555• The Three-Body Problem: https://www.amazon.com/Three-Body-Problem-Cixin-Liu/dp/0765382032• Trauma: The Invisible Epidemic: How Trauma Works and How We Can Heal From It: https://us.amazon.com/Trauma-Invisible-Epidemic-Works-Heal/dp/1683647351/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected] may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
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  • How 80,000 companies build with AI: products as organisms, the death of org charts, and why agents will outnumber employees by 2026 | Asha Sharma (CVP of AI Platform at Microsoft)
    Asha Sharma leads AI product strategy at Microsoft, where she works with thousands of companies building AI products and has unique visibility into what’s working (and what’s not) across more than 15,000 startups and enterprises. Before Microsoft, Asha was COO at Instacart, and VP of Product & Engineering at Meta, notably leading product for Messenger.What you’ll learn:1. Why we’re moving from “product as artifact” to “product as organism” and what this means for builders2. Microsoft’s “seasons” planning framework that allows them to adapt quickly in the AI era3. The death of the org chart: how agents are turning hierarchies into task networks and why “the loop, not the lane” is the new organizing principle4. Why post-training will soon see more investment than pre-training—and how to build your own AI moat with fine-tuning5. Her prediction for the “agentic society”—where org charts become work charts and agents outnumber humans in your company6. The three-phase pattern every successful AI company follows (and why most fail at phase one)7. The rise of code-native interfaces and why GUIs might be going the way of the desktop8. What Asha learned from Satya Nadella about optimism—Brought to you by:Enterpret—Transform customer feedback into product growth: https://enterpret.com/lennyDX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lenny—Transcript: ⁠https://www.lennysnewsletter.com/p/how-80000-companies-build-with-ai-asha-sharma—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/171413445/my-biggest-takeaways-from-this-conversation⁠—Where to find Asha Sharma:• LinkedIn: https://www.linkedin.com/in/aboutasha/• Blog: https://azure.microsoft.com/en-us/blog/author/asha-sharma/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Asha Sharma(04:18) From “product as artifact” to “product as organism”(06:20) The rise of post-training and the future of AI product development(09:10) Successful AI companies: patterns and pitfalls(12:01) The evolution of full-stack builders(14:15) “The loop, not the lane”—the new organizing principle(16:24) The future of user interfaces: from GUI to code-native(19:34) The rise of the agentic society(22:58) The “work chart” vs. the “org chart”(26:24) How Microsoft is using agents(28:23) Planning and strategy in the AI landscape(35:38) The importance of platform fundamentals(39:31) Lessons from industry giants(42:10) What’s driving Asha(44:30) Reinforcement learning (RL) and optimization loops(49:19) Lightning round and final thoughts—Referenced:• Copilot: https://copilot.microsoft.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• GitHub: https://github.com• Dragon Medical One: https://www.microsoft.com/en-us/health-solutions/clinical-workflow/dragon-medical-one• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• Bolt: http://bolt.com• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Replit: https://replit.com/•Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Sierra: https://sierra.ai/• Spark: https://github.com/features/spark• Peter Yang on X: https://x.com/petergyang• How AI will impact product management: https://www.lennysnewsletter.com/p/how-ai-will-impact-product-management• Instacart: http://instacart.com/• Terminator: https://en.wikipedia.org/wiki/Terminator_(franchise)• Porch Group: https://porchgroup.com/• WhatsApp: https://www.whatsapp.com/• Maslow’s Hierarchy of Needs: https://www.simplypsychology.org/maslow.html• Satya Nadella on X: https://x.com/satyanadella• Perfect Match 360°: Artificial intelligence to find the perfect donor match: https://ivi-fertility.com/blog/perfect-match-360-artificial-intelligence-to-find-the-perfect-donor-match/• OpenAI’s GPT-5 shows potential in healthcare with early cancer detection capabilities: https://economictimes.indiatimes.com/news/international/us/openais-gpt-5-shows-potential-in-healthcare-with-early-cancer-detection-capabilities/articleshow/123173952.cms• F1: The Movie: https://www.imdb.com/title/tt16311594/• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• The Home Depot: https://www.homedepot.com/• Dewalt Powerstack: https://www.dewalt.com/powerstack• Regret Minimization Framework: https://s3.amazonaws.com/kajabi-storefronts-production/sites/2147500522/themes/2148012322/downloads/rLuObc2QuOwjLrinx5Yu_regret-minimization-framework.pdf—Recommended books:• The Thinking Machine: Jensen Huang, Nvidia, and the World’s Most Coveted Microchip: https://www.amazon.com/Thinking-Machine-Jensen-Coveted-Microchip/dp/0593832698• Tomorrow, and Tomorrow, and Tomorrow: https://www.amazon.com/dp/0593466497Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].—Lenny may be an investor in the companies discussed.My biggest takeaways from this conversation: To hear more, visit www.lennysnewsletter.com
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  • Inside the expert network training every frontier AI model | Garrett Lord (Handshake CEO)
    Garrett Lord is co-founder and CEO of Handshake, which started as a career network for college students and new grads but recently discovered something extraordinary: they were sitting on the world’s largest network of academic experts—exactly what frontier AI labs desperately needed. With 500,000 PhDs and 3 million advanced degree holders creating training data, in just eight months they’ve built a new business that hit $50 million in revenue in its first four months and is on track to blow past $100M in the first 12 months.What you’ll learn:1. How Handshake found an opportunity to leverage their proprietary network of experts to launch a data-labeling business that’s on track to blow past $100 million ARR in 12 months2. Why AI models need human experts (e.g. physics PhDs) to improve, and what this “data labeling” actually involves3. Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter4. The playbook for building a startup inside a startup: separate teams, separate offices, separate everything5. Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity6. Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productive—Brought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyOrkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Claude.ai—The AI for problem solvers and enterprise: http://claude.ai/—Transcript: https://www.lennysnewsletter.com/p/inside-handshake-garrett-lord—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/171410958/my-biggest-takeaways-from-this-conversation—Where to find Garrett Lord:• X: https://x.com/garrettlord• LinkedIn: https://www.linkedin.com/in/garrettlord/• Email: [email protected]—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Garrett Lord(05:00) Understanding data labeling and its importance(13:08) The role of experts in AI model training(15:35) The future of AI and human collaboration(24:17) Why AI won’t eliminate entry-level jobs(27:58) The continuous improvement of AI models(33:05) The emergence of Handshake’s new business model(37:07) Incubating new ideas in established companies(40:42) Handshake's competitive advantage(45:43) Scaling up and meeting market demand(48:38) Overcoming challenges and adapting(53:08) The importance of separate teams and ownership(57:26) The future of job matching with AI(01:00:30) The biggest bottlenecks to advancing models further(01:02:37) Lightning round and final thoughts—Referenced:• GPQA: https://github.com/idavidrein/gpqa• Handshake: https://joinhandshake.com/• OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Goldman Sachs: https://www.goldmansachs.com/• General Motors: https://www.gm.com/• Google: https://about.google/• Sahil Bhaiwala on LinkedIn: https://www.linkedin.com/in/sahil-bhaiwala-459b0354/• Francisco “Paco” Guzman on LinkedIn: https://www.linkedin.com/in/guzmanhe/• Avery Yip on LinkedIn: https://www.linkedin.com/in/averyyip/• Game of Thrones on HBO: https://www.hbomax.com/shows/game-of-thrones/4f6b4985-2dc9-4ab6-ac79-d60f0860b0ac• SNOO: https://www.happiestbaby.com/products/snoo-smart-bassinet• Careers at Handshake: https://joinhandshake.com/careers/—Recommended books:• Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes-Startups-Future/dp/0804139296• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/Hard-Thing-About-Things-Building/dp/0062273205—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected] may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
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