
Lenny's Podcast: Product | Career | Growth
Interviews with world-class product leaders and growth experts to uncover concrete, actionable, and tactical advice to help you build, launch, and grow your own product.
AI overview.Lenny Rachitsky is an independent podcast creator known for his expertise in product management and growth strategy. He gained prominence through his insightful…
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On the show
- Evan Spiegel1 ep
- Cat Wu1 ep
- Nikhyl Singhal1 ep
Also: Keith Rabois, Amol Avasare, Simon Willison, Claire Vo, Jessica Fain, Jacob Warwick, Michelle, Max Schoening, Tony Fadell, Benedict Evans, Dan Shipper, Caitlin Kalinowski, Eric Ries, Elizabeth Stone, Noam Segal, Adam Mosseri, Andrew Ambrosino
Audience Interest
- product development strategies
- growth marketing techniques
Podcast Focus
- interviews with product leaders
- actionable growth advice
Publishing Consistency
- weekly or more episodes
- active for three years
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- 🇺🇸United States · TechnologyHOME#2451K to 270K
- 🇮🇳India · Technology#423K to 120K
- 🇰🇷South Korea · Technology#217K to 91K
- 🇬🇧United Kingdom · Technology#194.9K to 26K
- 🇨🇦Canada · Technology#173.7K to 20K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
123K to 649K🎙 Weekly cadence·359 episodes·Last published 3d ago - Monthly Reach
Unique listeners across all episodes (30 days)
245K to 1.3M🇺🇸42%🇮🇳18%🇰🇷14%+16 more - Active Followers
Loyal subscribers who consistently listen
135K to 714K9.5K real followers tracked across platforms
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/25/26 | An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull) | Rob Snyder is the author of The Power of Pull and writes the newsletter The Physics of Startups. He has advised more than 50 startups on growing from zero to $1 million in ARR, drawing on his own experience as a founder who spent two years pushing a product the market didn’t want before accidentally stumbling onto what actually works. In this episode, we walk step by step through his framework for finding product-market fit, from coming up with an idea to closing your first handful of deals.We discuss:1. The PULL framework: Project, Unavoidable, List of options, Limitations2. Where the best startup ideas come from3. Tactics for cold outreach and running your first sales call4. Why Rob advises against design partners5. Goblin mode: what to do when nothing is working6. How to apply the PULL framework inside larger companies—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreDX—Engineering intelligence for the AI era—Where to find Rob Snyder:• LinkedIn: https://www.linkedin.com/in/rsnyder1• Newsletter: https://thephysicsofstartups.substack.com• Podcast: https://open.spotify.com/show/4Cic56E1UEbU25P3v14Vkq• Website: https://robsnyder.org—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 Rob Snyder(01:13) The PULL framework: what makes customers buy(07:30) The “PULL” acronym(09:44) How Jump found pull with financial advisors(13:53) Why pull is discovered, not created(16:10) Selling to a person, not a company(17:13) Finding startup ideas through firsthand experience(22:34) Testing your pull hypothesis with two slides(26:41) Recognizing real buying intent(27:24) When solving your own problem works(29:02) The Hail Mary question that can unlock a pivot(31:01) Common traps to avoid(32:50) Quick recap(34:46) Landing your first customer conversations(39:18) Outreach benchmarks and diagnosing what isn’t working(41:27) How to run your first sales call(46:56) Successful pitch tactics(49:59) Does your product need to be 10 times better?(54:08) Closing the deal(01:00:41) Using the PULL framework to set pricing(01:02:22) Revising your hypothesis and going into goblin mode(01:06:56) Designing onboarding to make customers stay(01:09:28) What churn can teach you about your ideal customer(01:11:37) Building a repeatable case study factory(01:16:15) Applying the framework inside established companies(01:20:03) Lightning round and final thoughts—Referenced:• The PULL framework: https://thephysicsofstartups.substack.com/p/the-pull-framework• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• How to find work you love | Bob Moesta (Jobs-to-be-Done co-creator, author of “Job Moves”): https://www.lennysnewsletter.com/p/how-to-find-work-you-love-bob-moesta• Jump: https://jump.ai• Linear’s secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Josh Woodward on LinkedIn: https://www.linkedin.com/in/joshwoodward/• Clearly AI: https://clearly-ai.com• Emily Choi-Greene on LinkedIn: https://www.linkedin.com/in/emilycg• Spanx: https://spanx.com• Floodgate: https://www.floodgate.com• Snoop Dogg on X: https://x.com/SnoopDogg• Jira: https://www.atlassian.com/software/jira• Linear: https://linear.app• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• How to close $100K+ enterprise deals, step by step | Jen Abel: https://www.lennysnewsletter.com/p/how-to-close-100k-1m-deals-step-by• Teero: https://www.teero.com• A guide for finding product-market fit in B2B: https://www.lennysnewsletter.com/p/finding-product-market-fit• Retention is the hard part: https://thephysicsofstartups.substack.com/p/retention-is-the-hard-part• Mark Roberge on LinkedIn: https://www.linkedin.com/in/markroberge/• Ali Ghodsi on LinkedIn: https://www.linkedin.com/in/alighodsi/• Pride and Prejudice: https://www.imdb.com/title/tt0414387• Penguins of Madagascar: https://www.imdb.com/title/tt1911658• Muse: https://muse.ai• Lessons from 1,000+ YC startups: Resilience, tar pit ideas, pivoting, more | Dalton Caldwell (Y Combinator, Managing Director): https://www.lennysnewsletter.com/p/lessons-from-1000-yc-startups• Lemlist: https://www.lemlist.com—Recommended books:• The Power of Pull: What You Need to Know About Customer Demand to Build a Successful Startup (and Why Most Founders Get It Wrong): https://www.amazon.com/Power-Pull-Customer-Successful-Founders/dp/1541705955• The Nature of Order, Book One: The Phenomenon of Life: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/dp/B0BHLGZHHD• The Nature of Order, Book Two: The Process of Creating Life: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/Nature-Order-Book-Two-Creating-ebook/dp/B0F2SMKQT8• The Nature of Order, Book Three: A Vision of a Living World: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/dp/B0F2SS62LG• The Nature of Order, Book Four: The Luminous Ground: https://www.amazon.com/Luminous-Ground-Building-Alexander-Christopher/dp/B00CB5JTI6—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. To hear more, visit www.lennysnewsletter.com | 1h 25m 47s | ||||||
| 10/18/26 | Inside the black box of AI: How AI models actually think | Emmanuel Ameisen (Anthropic) | Emmanuel Ameisen is an interpretability researcher at Anthropic, where he looks inside LLMs like Claude to understand how they think. Before joining Anthropic, he spent years in applied ML at Stripe and Insight, and is the author of Building Machine Learning Powered Applications. His research has produced some of the most striking findings in the field: that models form general representations of concepts, plan many tokens ahead without stating those plans explicitly, and may exhibit something structurally similar to the distinction between conscious and unconscious processing in humans.We discuss:1. Why the “next-token predictor” framing undersells how models actually plan and think2. Why anthropomorphizing AI can actually be the right approach3. Why models are “grown,” not built4. What the “J space” reveals about model self-awareness5. The smooth scaling curve behind what look like sudden capability jumps6. How interpretability connects to AI alignment and safety—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreDX—Engineering intelligence for the AI era—Episode transcript: https://www.lennysnewsletter.com/p/a-mind-expanding-conversation-on—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Highlights: https://lennyspodcast.com/mostreplayedmoments—Where to find Emmanuel Ameisen:• X: https://x.com/mlpowered• LinkedIn: https://www.linkedin.com/in/ameisen• Website: https://www.mlpowered.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 Emmanuel Ameisen(01:30) Why AI models are grown, not built(05:57) Why next-token prediction is harder than it sounds(11:49) How models represent concepts and understand the world(17:06) How LLMs plan ahead(23:10) Could AI be conscious?(24:44) Scaling laws and the power of text(28:29) Why smooth progress creates sudden breakthroughs(32:59) Why watching AI isn’t enough to solve alignment(38:21) The Golden Gate Claude experiment(39:01) Why Anthropic takes AI safety seriously(42:06) When anthropomorphizing AI is useful(48:06) What AI can teach us about intelligence(51:44) Reasons for optimism about AI alignment(55:43) Are we living in a simulation?(59:00) Jev, decision models, and AI’s gut instincts(01:01:37) Two more surprising findings about how models think(01:03:33) How to get into interpretability research(01:04:55) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/a-mind-expanding-conversation-on—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. To hear more, visit www.lennysnewsletter.com | 1h 12m 12s | ||||||
| 10/11/26 | Why every company now needs to think and operate like a lab team | Josh Woodward (Google Labs, Gemini, AI Studio) | Josh Woodward is the head of Google Labs, the Gemini app, and AI Studio. He has spent over 17 years at Google and oversees its longest-running and largest labs team, whose products include NotebookLM (now Gemini Notebook), Project Genie, and Flow. His job is to find, experiment with, and scale new AI products, and he has built one of the most distinctive product cultures in the industry for generating ideas, running experiments, and, even more importantly, knowing when to quit.In our in-depth conversation, we discuss:1. Why every company now needs to think and operate like a labs team2. Where the best ideas really come from3. The “almost possible” framework4. How to recognize genuine product-market fit early5. When to kill an idea6. What skills are rising in value in the AI era7. Why roles are not actually blurring into one universal builder role8. How to set up your internal labs team—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreDX—Engineering intelligence for the AI era—Episode transcript: https://www.lennysnewsletter.com/p/why-every-company-now-needs-to-think—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Highlights: https://lennyspodcast.com/mostreplayedmoments—Where to find Josh Woodward:• X: https://x.com/joshwoodward• LinkedIn: https://www.linkedin.com/in/joshwoodward—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(02:53) Why every company now needs to think like a labs team(05:43) Where great ideas come from(07:43) The “almost possible” framework(11:52) Finding product-market fit(16:09) Falling in love with the problem, not the solution(17:57) When to kill an idea(19:35) Overseeing Google Labs and the Gemini app(22:21) Next consumer AI breakthroughs(24:32) Google’s vision for a personal assistant(27:18) What is overhyped and underhyped in AI right now(31:36) Skills rising in value: unlearning rate, explosive endurance, trust(35:45) Why roles are not blurring into one universal builder role(38:59) Explosive endurance rhythms(41:31) How planning has changed: rolling windows and 100-day milestones(43:37) Labs lifecycle stages(47:37) Tips for setting up an internal lab(54:00) The future of products in an AI world(56:26) Google Labs culture, rituals, and closing thoughts—References: https://www.lennysnewsletter.com/p/why-every-company-now-needs-to-think—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. To hear more, visit www.lennysnewsletter.com | 1h 02m 11s | ||||||
| 10/4/26 | OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo Sottiaux | Tibo Sottiaux leads ChatGPT and Codex at OpenAI. Under his stewardship, OpenAI has shipped some of its most consequential consumer launches: Codex, ChatGPT Work, and most recently, the new Dots personal agent platform. He joined me at DevDay, hours after his team launched more than 20 new products, to talk about where things are heading.We discuss:1. Dots, OpenAI’s new personal AI assistant2. Why most actions on the internet will soon be taken by agents3. Why loops, graphs, and fine-tuning agent workflows are a passing phase4. Which skills are trending up and down in the AI era5. How Tibo’s Dot warned him about a production outage five minutes before the launch6. OpenAI’s approach to AI safety—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreDX—Engineering intelligence for the AI era—Episode transcript: https://www.lennysnewsletter.com/p/openais-head-of-chatgpt-were-entering—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Tibo Sottiaux:• X: https://x.com/thsottiaux• LinkedIn: https://www.linkedin.com/in/thibault-sottiaux-27195366—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 Tibo Sottiaux(01:12) How Tibo uses AI in his daily work(03:10) The vision for always-on AI agents(06:15) How AI will continue to change work(07:32) Bringing Codex, ChatGPT, and Dots together(08:20) The sci-fi inspiration behind the technology(09:02) Building AI with the community(10:13) Understanding the Dots structure(11:34) OpenAI’s open ecosystem and plugin revenue sharing(13:39) How plugins get discovered and recommended(14:39) The research behind Dots(16:20) Where humans will remain valuable(17:25) Agent fatigue, loneliness, and context switching(18:55) The pressure to do more with AI(20:09) An agent that spotted a production outage before a live demo(21:42) Agent guardrails and connecting multiple devices(23:25) The skills becoming more valuable in the AI era(25:56) Advice for people early in their careers(27:18) How teams build and ship inside OpenAI(28:59) Autonomy, trust, and learning from mistakes(30:45) Building for a future where agents dominate internet activity(32:41) What Tibo has changed his mind about(33:55) OpenAI’s approach to AI safety and alignment(36:15) Moving beyond model pickers toward simpler AI—Referenced:• OpenAI Dots: https://chatgpt.com/features/dots• Her on Netflix: https://www.netflix.com/title/70278933• Star Trek: https://www.imdb.com/title/tt0060028• Pi: https://pi.ai• OpenCode: https://opencode.ai• Notion: https://www.notion.com• Figma: https://www.figma.com• OpenClaw: https://openclaw.ai• Peter Steinberger on X: https://x.com/steipete• Grok Bot: https://x.ai/bot• Muse: https://muse.ai• Instinct: https://instinct.com• Ahmed Ibrahim on LinkedIn: linkedin.com/in/ahmedibrhm• The Hugging Face incident and the road ahead: https://openai.com/index/hugging-face-incident-and-the-road-ahead—Recommended book:• Neuromancer: https://www.amazon.com/Neuromancer-William-Gibson/dp/0441007465—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. To hear more, visit www.lennysnewsletter.com | 37m 23s | ||||||
| 9/27/26 | The grief, loneliness, and burnout sweeping through the tech industry right now | Molly Graham | Molly Graham is back for round two, and this one is even more powerful. Molly has spent more than 20 years helping organizations and the humans inside them navigate growth and change. She’s held leadership roles at Google, Facebook, Quip, and the Chan Zuckerberg Initiative and is the host of TED’s WorkLife podcast (which she took over from Adam Grant). She also runs Glue Club, a leadership community for senior operators, and writes a popular newsletter called Lessons.In our in-depth conversation, we discuss:1. Why Molly’s famous “give away your Legos” career advice no longer holds true in an AI world2. The grief, loneliness, and burnout sweeping through the tech industry right now3. Why delegating to AI is fundamentally different from delegating to a human4. The fear narrative around AI job displacement, and why it’s overblown5. Which Legos you should never give to AI6. What the best managers are doing right now—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreDX—Engineering intelligence for the AI era—Episode transcript: https://www.lennysnewsletter.com/p/the-grief-loneliness-and-burnoutArchive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0Highlights: https://lennyspodcast.com/mostreplayedmoments—Where to find Molly Graham• X: https://x.com/molly_g• LinkedIn: https://www.linkedin.com/in/mograham• Substack: https://mollyg.substack.com• Website: https://glueclub.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) Molly Graham returns(03:34) What is “Give away your Legos”?(05:44) The origin story: Google, Facebook, and rapid scale(11:27) What still holds true in an AI world(18:13) Engineering’s identity shift: from rowing to steering(22:09) Loneliness and the collapse of team structure(24:06) The centaur and the reverse centaur(25:36) The fear narrative: AI-branded layoffs and overblown doom(29:20) Survey data: burnout is up to 55%, but half of people are thriving(35:07) Cleaning up AI slop(40:01) What’s actually different: delegating to AI vs. giving Legos to a human(42:02) Why every worker is now a manager, whether they want to be or not(49:07) Why giving things away creates space for new opportunities(55:27) Advice for people in the age of AI(59:38) What Legos you should never give away(01:03:12) The human sandwich: vision at the top, AI in the middle, humans at the end(01:05:00) Holding on to the things you love: grief, funerals, and what comes next(01:09:39) Slow takeoff: why you’re not too late(01:13:32) The most important skill to build right now(01:18:58) A message for managers and leaders(01:24:17) Key takeaways(01:31:42) Final thoughts—References: https://www.lennysnewsletter.com/p/the-grief-loneliness-and-burnout—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. To hear more, visit www.lennysnewsletter.com | 1h 34m 14s | ||||||
| 9/20/26 | 90 minutes of unfiltered product advice from Snap and Discord’s product chief | Peter Sellis | Peter Sellis was the first product manager at Snapchat, where he spent seven years building one of the most beloved consumer products in history. He went on to serve as Head of Product at Discord, where he helped drive some of the fastest user growth the platform had seen. Having left his role at Discord, he gets to be especially real and unfiltered — nothing to promote, no PR, no comms team.In our in-depth conversation, we discuss:1. Why Peter designs teams like . . . terrorist organizations2. What it was really like to manage Nikita Bier3. Why the median PM is so bad4. Why Snapchat’s ads business never reached its potential5. Why growth almost always comes from the core product6. Peter’s three “oxymorons” of great product management—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/90-minutes-of-unfiltered-product—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Peter Sellis:• X: https://x.com/petersellis• LinkedIn: https://www.linkedin.com/in/disgruntled• Website: https://pjs.lol—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(02:48) Why Peter avoided podcasts until now(05:44) Designing teams like terrorist organizations(10:35) Cult versus terrorist org: the key distinction(11:19) Managing Nikita Bier(12:56) Building orgs that handle spiky talent(15:16) Why the median PM is probably bad(18:28) Is the PM profession getting better?(20:49) Snap’s three ads monetization challenges(25:03) Snap’s underrated product track record(27:57) Systems thinking(32:19) Instagram copying Snapchat’s worst features(33:32) Software moats(35:27) Taste, museum curators, and the art of saying no(40:05) OpenAI, ads, and the trust auction mechanism(46:25) Counterintuitive lesson: ride your best people hard(50:13) Why collaboration is often overrated(50:50) Growth lives in the core product(57:50) When to bet on something genuinely new(01:02:18) SpaceX and sunsetting the Falcon 9(01:07:01) Ambition as a learnable muscle(01:10:26) Long-term greedy: the ads philosophy(01:13:36) The Core Product Value framework(01:16:33) The three oxymorons of a great PM(01:20:29) Contrarian corner(01:26:00) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/90-minutes-of-unfiltered-product—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. To hear more, visit www.lennysnewsletter.com | 1h 36m 53s | ||||||
| 9/8/26 | product developmentknowledge-work agents+4 | Roman Ugarte | SpaceXAICursor | — | Grok BotSpaceXAI+5 | WorkOS | 1h 22m 43s | ||
| 9/6/26 | company buildingconsumer investing+4 | Anish Acharya | SocialDeckSnowball+3 | — | loopsconsumer+4 | WorkOS | 1h 19m 24s | ||
| 8/30/26 | AIproduct management+3 | Tara Seshan | OpenAIStripe+2 | — | AI coworkersproduct leadership+5 | WorkOS | 1h 21m 44s | ||
| 8/23/26 | enterprise salessales cycle+4 | Jen Abel | JJellyfishState Affairs | — | enterprise dealssales process+4 | WorkOS | 1h 24m 57s | ||
| 8/16/26 | product designAI interaction+3 | Ian Silber | OpenAIArtifact+1 | — | product designOpenAI+6 | WorkOS | 1h 12m 04s | ||
| 8/9/26 | talent acquisitionrecruiting strategies+4 | Adam Ward | CursorGrowth by Design | — | recruitingtalent strategy+5 | WorkOS | 1h 30m 46s | ||
| 8/2/26 | product managementAI in product roles+4 | Tom Verrilli | WhatnotTwitch+1 | — | product managementAI+6 | WorkOS | 1h 24m 58s | ||
| 7/26/26 | AI developmentproduct management+4 | Dianne Penn | AnthropicAmazon+1 | — | AnthropicAI Research+6 | WorkOS | 1h 33m 50s | ||
| 7/19/26 | AIsystems thinking+4 | Elizabeth Stone | NetflixLyft+3 | — | AI-generated outputsystems thinking+4 | WorkOS | 1h 12m 07s | ||
| 7/12/26 | AI sentimenttech workforce+4 | Noam Segal | AirbnbMeta+4 | — | AItech workers+5 | WorkOS | 1h 36m 29s | ||
| 7/9/26 | AI and authenticityInstagram product strategy+4 | Adam Mosseri | ThreadsFacebook Home+3 | — | InstagramAI+7 | WorkOS | 1h 08m 29s | ||
| 6/28/26 | AI in product developmentCodex desktop app+3 | Andrew Ambrosino | CodexOpenAI | — | OpenAICodex+5 | WorkOS | 1h 09m 56s | ||
| 6/21/26 | AI transformationsoftware engineering+3 | Fiona Fung | AnthropicMicrosoft+3 | — | AIsoftware development+7 | WorkOS | 1h 38m 45s | ||
| 6/14/26 | successful productsconsumer products+3 | Mark Pincus | Words With FriendsFarmVille+3 | — | Zyngasuccessful products+3 | WorkOS | 1h 39m 23s | ||
| 6/7/26 | product developmentAI interface+3 | Tony Fadell | GoogleNest+1 | — | iPodiPhone+6 | WorkOSCODE | 1h 35m 07s | ||
| 5/31/26 | AI trendstechnology transformation+4 | Benedict Evans | Andreessen Horowitz | — | AItechnology trends+4 | WorkOS | 1h 19m 50s | ||
| 5/24/26 | AI and automationfuture of work+3 | Dan Shipper | Claude CodeCodex+2 | — | AIautomation+6 | — | 1h 34m 06s | ||
| 5/17/26 | AI hardwarerobotics+4 | Caitlin Kalinowski | OpenAIMeta+1 | — | AI hardware boomrobotics+5 | WorkOSCODE | 1h 39m 10s | ||
| 5/10/26 | company buildingventure capital+3 | Eric Ries | AnthropicCostco+3 | — | venture-backed foundersgovernance+3 | WorkOSCODE | 1h 39m 22s | ||
| 5/3/26 | AI in product developmentcultivating agency+3 | Max Schoening | NotionGoogle+2 | — | agencyAI products+5 | WorkOSCODE | 1h 27m 22s | ||
| 4/26/26 | distribution challengesconsumer technology+5 | Evan Spiegel | Snap | — | Snapchatconsumer social product+5 | WorkOSCODE | 1h 10m 24s | ||
| 4/23/26 | AI product developmentproduct management+3 | Cat Wu | AnthropicClaude Code | — | AIproduct management+3 | WorkOS | 1h 25m 34s | ||
| 4/19/26 | product managementAI in business+4 | Nikhyl Singhal | MetaGoogle+2 | — | product managerschaotic period+5 | WorkOSCODE | 1h 35m 11s | ||
| 4/12/26 | AI erahiring frameworks+5 | Keith Rabois | Khosla VenturesPayPal+8 | — | AIhiring+5 | WorkOS | 1h 22m 39s | ||
| 4/5/26 | growth strategiesAI development+4 | Amol Avasare | ClaudeCASH+3 | — | growth trajectorycold emailing+5 | WorkOS | 1h 52m 49s | ||
| 4/2/26 | AI developmentsoftware engineering+5 | Simon Willison | DjangoInstagram+2 | — | AI coding agentsprompt injection+5 | — | 1h 39m 51s | ||
| 3/29/26 | AI agentsproductivity+4 | Claire Vo | OpenClawChatPRD | — | OpenClawAI agents+6 | Mercury | 1h 46m 35s | ||
| 3/22/26 | influenceexecutive decision making+4 | Jessica Fain | WebflowSlack | — | influenceexecutive decisions+5 | Omni | 1h 33m 33s | ||
| 3/15/26 | salary negotiationexecutive coaching+3 | Jacob Warwick | — | — | negotiationcompensation+3 | Orkes | 1h 54m 54s | ||
| 3/12/26 | newsletter growthpodcast creation+3 | Michelle | Charts for Babies | — | newsletterpodcast+5 | WorkOS | 1h 06m 53s | ||
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Lenny Rachitsky is an independent podcast creator known for his expertise in product management and growth strategy. He gained prominence through his insightful writings and community engagement, particularly focusing on the intersection of technology and entrepreneurship. Lenny's Podcast features in-depth interviews with leading product leaders and growth experts, offering listeners actionable advice and tactical insights. The show’s unique blend of personal stories and professional strategies allows entrepreneurs and product managers to learn from the experiences of successful industry figures. The podcast attracts a diverse audience of aspiring entrepreneurs, product managers, and business professionals seeking to enhance their skills and knowledge. Listeners value the practical insights they can immediately apply to their own projects, making the show a vital resource for anyone aiming to build and grow impactful products.
By the numbers
- Total followers: 653K
- Total plays: 23M
- Total reviews: 1.4K
Platforms
TuneIn
- Followers: 113
Castbox
- Followers: 7.4K
- Plays: 230K
- Reviews: 38
YouTube
- Subscribers: 644K
- Views: 23M
- Videos: 1.8K
Podcast App
- Followers: 1.4K
- Reviews: 1.3K
Podcast Republic
- Followers: 613
Find them online
Audience
professionals, adults
Key insights
What the show covers
- interviews with product leaders
- actionable growth advice
- tactical product building
- launching successful products
Audience interests
- product development strategies
- growth marketing techniques
- entrepreneurship insights
- career advancement tips
Platform reach
- available on multiple platforms
- includes YouTube and TuneIn
- widely distributed across apps
- total followers 596963
Publishing consistency
- weekly or more episodes
- active for three years
- 338 total episodes
- reliable content schedule
Chart history for Lenny's Podcast: Product | Career | Growth
Peaked at #2 in South Korea, top 10 in 4 of 49 tracked markets, currently #2 in South Korea.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| South Korea | — | #2 | #2 | — |
| India | — | #4 | #4 | — |
| CZ | — | #6 | #6 | — |
| AE | — | #6 | #6 | — |
| Ireland | — | #12 | #12 | — |
| TR | — | #12 | #12 | — |
| Norway | — | #14 | #14 | — |
| PL | — | #14 | #14 | — |
| IL | — | #16 | #16 | — |
| Canada | — | #17 | #17 | — |
| New Zealand | — | #17 | #17 | — |
| Netherlands | — | #17 | #17 | — |
| SG | — | #18 | #18 | — |
| KE | — | #18 | #18 | — |
| United Kingdom | — | #19 | #19 | — |
| SA | — | #19 | #19 | — |
| Australia | — | #23 | #23 | — |
| France | — | #23 | #23 | — |
| Italy | — | #23 | #23 | — |
| PT | — | #23 | #23 | — |
Chart Positions
49 placements across 49 markets.
Chart Positions
49 placements across 49 markets.