Lenny's Podcast: Product | Career | Growth

Benedict Evans is an independent analyst and former partner at Andreessen Horowitz, where he spent years as their in-house “thinker” tracking the most important technology trends. For the past six years, he’s been publishing deeply researched presentations on where tech is heading, most recently focused on AI’s transformation of the economy. His work is read by founders, investors, and operators trying to make sense of a noisy field. His most controversial opinion: AI is as big a deal as the internet or mobile—and only as big.In our in-depth conversation, we discuss:1. Why we’re in “1997” for AI—early, exciting, and deeply uncertain about what comes next2. Where value will actually accrue in the AI stack3. The anti-AI backlash, and where it may lead4. The surprising boom in consulting and professional services at AI companies5. Why distribution is becoming the ultimate moat as software gets easier to build6. Why the right question about your job isn’t “What percent can AI do?” but “Is this a task or a job?”7. Why things will probably be okay—and what you need to do to prepare—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Benedict Evans:• LinkedIn: https://www.linkedin.com/in/benedictevans• Newsletter: https://www.ben-evans.com/newsletter• Website: https://www.ben-evans.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: <a target="_blank"

Dan Shipper is the co-founder and CEO of Every, a media and software company that’s become a living laboratory for the future of work. Everyone at his company of about 30 people is an AI early adopter; from editors to ops people, they use AI to do much of their work, giving Every a unique lens into where the world is heading. A year ago on this show, Dan predicted that people were sleeping on Claude Code for nontechnical work, which proved to be remarkably prescient. Today he’s back with another set of calls: the SaaS apocalypse is dumb, CLIs are over, the forward deployed engineer is the most valuable new hire, and the only thing you need to do to stay employed is ride the models.Dan’s predictions:1. The future of work will happen inside Codex or Claude Code.2. Every company will have one “super-agent” inside their Slack that every employee talks to regularly.3. SaaS is not dead—in fact, Dan is bullish on SaaS stocks. His contrarian take: “I would buy SaaS stocks right now.”4. SaaS economics will shift: users will bring their own AI tokens into apps, which actually improves SaaS margins.5. PMs will thrive in the AI era.6. Full-stack designers will become superheroes.7. The AI job apocalypse is not happening.8. Forward deployed engineer is the new most essential role.9. CLIs are over.10. Automation is a lie.11. We will read way more AI-generated writing and we will like it.12. We’ll be building software for humans and agents to use together.—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Dan Shipper:• X: https://x.com/danshipper• LinkedIn: https://www.linkedin.com/in/danshipper/• Podcast: <a target="_blank" href="https://every.

Caitlin Kalinowski was most recently at OpenAI helping build their robotics and hardware teams from scratch. Prior to that, she was head of AR glasses and VR hardware at Meta, where she led the teams building every generation of the Quest, Rift, and Orion, and was Meta’s first consumer electronics hire. Before this, she was technical lead on MacBook Air and Mac Pro at Apple, and helped engineer the original unibody MacBook Pro. She’s designed and engineered some of the hardest and most beloved consumer hardware products in history and is now focused on the next frontier: robotics.In our in-depth conversation, we discuss:1. VR—what happened?2. The coming memory price shock and why she’s telling startups to pre-buy now3. How the technologies built for VR became the foundation of modern warfare4. Why humanoid robots are still just prototypes, and what’s actually gating mass deployment5. Lessons from Steve Jobs, Mark Zuckerberg, and Sam Altman6. Why she left OpenAI—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/why-were-at-the-beginning-of-the—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Caitlin Kalinowski:• X: https://x.com/kalinowski007• LinkedIn: https://www.linkedin.com/in/ckalinowski• Website: https://www.caitlinkalinowski.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 cov

Eric Ries is the author of The Lean Startup, a book that reshaped how a generation of founders think about building companies. His new book, Incorruptible, explains how successful companies are destroyed by failing to protect what makes them valuable, and how to change it.In our in-depth conversation, we discuss:1. Why 80% of venture-backed founders are ousted within three years of going public2. The governance structures that protect companies like Anthropic, Costco, and Novo Nordisk3. The simple legal filing that takes two pages and could save your company4. Financial gravity: why successful companies predictably get corrupted into mediocrity5. Why mission-aligned companies like Anthropic reap major benefits from protecting their mission through governance6. Why success won’t protect you—it instead makes you a bigger target—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/how-to-build-a-company-that-withstands—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Eric Ries:• X: https://x.com/ericries• LinkedIn: https://www.linkedin.com/in/eries• Website: https://www.incorruptible.co• Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://news.theleanstartup.com/• Podcast:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://ericriesshow.com• YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@theericriesshow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠—Where to find Lenny:

Max Schoening is head of product at Notion, where he’s been especially effective at getting designers and PMs to ship code, prototype in the terminal, and launch extremely successful AI products. He was previously a PM at Google, ran design at Heroku, was VP of Design (and a part-time engineer) at GitHub, and is a two-time founder. He’s one of the most AI-forward product leaders out there and one of the deepest thinkers on how AI changes how we build and use software.We discuss:1. What’s most worked in getting designers and PMs to embrace AI2. Why agency—not skills—is the thing that separates people who thrive from those who fall behind3. How the first 10% of every project is now “free,” and what that means for product development4. Max’s “tiny core” theory of great products: iPhone multitouch, the GitHub pull request, Notion blocks, Dropbox’s menu bar icon5. Why the SaaSpocalypse is overstated6. Why the amount of software has exploded but the quality hasn’t, and why that gap creates opportunity—Brought to you by:WorkOS—Make your app Enterprise Ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/why-cultivating-agency-matters-more—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Max Schoening:• X: https://x.com/mschoening• LinkedIn: https://www.linkedin.com/in/max-schoening• Website: https://max.dev—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

Evan Spiegel, the co-founder and CEO of Snap, is one of the very few people in the world who has successfully built and scaled a lasting consumer social product. Snapchat has nearly 1 billion MAUs, and Evan and his team invented some of the most important consumer products and features, including Stories, AR glasses, swipe-based navigation, the camera as the primary UX, and a lot more.In our in-depth conversation, we discuss:1. Why distribution is now the biggest challenge for creating a consumer technology business2. How Snap innovates at scale with a 9-to-12-person design team: no titles, no hierarchy, hundreds of ideas reviewed weekly with the CEO3. Why a pure software business is no longer a moat, and what actually creates durable competitive advantages today4. How AI is changing the way designers work and why they’re now shipping code5. Why every major Snap feature was copied and how that forced the company to work differently6. Evan’s prediction that humanity’s comfort with AI will be a bigger bottleneck than the technology itself7. This year’s crucible moment for Snap—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyVanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Evan Spiegel:• X: https://x.com/evanspiegel• Snapchat: https://www.snapchat.com/@evan• LinkedIn: https://www.linkedin.com/in/evan-spiegel• Website: https://www.spiegelfamilyfund.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: <a target="_blank" href="https://twitter.c

Cat Wu is Head of Product for Claude Code and Cowork at Anthropic, building one of the most important AI products of this generation. Before joining Anthropic, Cat spent years as an engineer and briefly worked in VC. Today, she’s interviewing hundreds of product managers who are trying to break into AI—and seeing firsthand what separates those who thrive from those who fall behind.We discuss:1. How Anthropic’s shipping cadence went from months to weeks to days2. The emerging skills PMs need to develop right now3. Why you need to build products that don’t yet fully work, so you’re ready when the next model closes the gap4. Cat’s most underrated AI skill: asking the model to introspect on its own mistakes5. Why Claude’s personality is core to its success6. Why Anthropic’s mission alignment eliminates the friction that slows most large organizations7. Why “just do things” is the most important principle for working at AI-native companies—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Cat Wu:• X: https://x.com/_catwu• LinkedIn: linkedin.com/in/cat-wu• Newsletter: https://catwu.substack.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 Cat Wu(01:29) Working with Boris Cherny(04:29) What Anthropic looks for when hiring PMs(06:18) How to help your teams move fast(08:58) How PRDs and r

Nikhyl Singhal is the founder of The Skip, a community for senior product leaders; a former product exec at Meta, Google, and Credit Karma; and a many-time founder. He’s also one of the most honest, unfiltered voices on what’s actually happening in product management right now.In our in-depth conversation, we discuss:1. Why the next two years will be the most chaotic period in product management history2. Why half of current product managers are at risk, and what separates those who’ll do well3. Why you need to find your “moments of joy” with AI4. The “smiling exhaustion” he’s seeing across the product community5. The psychological barriers that prevent people from reinventing themselves6. Why your resume’s fancy logos matter less than ever, and what matters now7. His prediction that companies will shed 30,000 people and rehire 8,000—all AI-first—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Nikhyl Singhal:• LinkedIn: https://www.linkedin.com/in/nikhyl• X: https://x.com/nikhyl• Podcast & Newsletter: https://skip.show• Skip Community: https://skip.community• Skip Coach: https://skip.coach• Skip.help: https://skip.help—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—<str

Keith Rabois was an early executive at PayPal (part of the famous PayPal Mafia), COO at Square, VP of Corporate Development at LinkedIn, and an early investor in Stripe, DoorDash, Airbnb, YouTube, Ramp, and Palantir. Currently he’s managing director at Khosla Ventures. Also, he hasn’t touched a computer since September 2010 (he does everything from an iPad).In our in-depth conversation, Keith shares:1. The barrels vs. ammunition hiring framework (and how to spot barrels)2. Why talking to customers is actively harmful for consumer products3. How to identify undiscovered talent4. Why the PM role is dying5. The three traits of the best-performing companies right now6. The specific interview question he asks every senior candidate7. Why CMOs (not engineers) are becoming the #1 consumer of tokens—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/hard-truths-about-building-in-the-ai-era—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Keith Rabois:• X: https://x.com/rabois• LinkedIn: linkedin.com/in/keith• Website: https://www.khoslaventures.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 Keith Rabois(01:59) Why Keith hasn’t used a computer since 2010(04:52) The team you build is the company you build(07:40) How Keith learned to identify talent at PayPal(10:05) Tactics for getting better at hiring(15:31) The barrels vs. ammunition framework(18:52) What makes som

Amol Avasare is Head of Growth at Anthropic, which is going through the most unprecedented growth trajectory in history—scaling from $1 billion to over $19 billion in ARR in just 14 months. Previously, Amol worked on the growth teams at Mercury and MasterClass. Before that he was a founder, and he cold emailed his way into the Anthropic role when no job listing existed. Most remarkably, he overcame a traumatic brain injury from a Muay Thai match that meant he couldn't work for nearly a year.In our in-depth discussion, Amol shares:1. How Amol landed his role by cold emailing Anthropic’s CPO Mike Krieger2. How Anthropic is automating growth experiments with Claude (their internal tool called “CASH”)3. Why the ratio of PMs to engineers might need to flip (more PMs than engineers) as AI makes engineers exponentially more productive4. Why activation is the single highest-leverage growth problem in AI5. Why Anthropic indexes 70/30 toward big bets (the opposite of most growth teams)6. How he uses Cowork to detect team misalignment in Slack7. How the company’s focus on AI coding created a research flywheel that accelerated their models—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Amol Avasare:• X: https://x.com/TheAmolAvasare• LinkedIn: https://www.linkedin.com/in/amolavasare—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 Amol and Anthropic’s growth(03:15) The story of cold

Simon Willison is a prolific independent software developer, a blogger, and one of the most visible and trusted voices on the impact AI is having on builders. He co-created Django, the web framework that powers Instagram, Pinterest, and tens of thousands of other websites. He coined the term “prompt injection,” popularized the terms “AI slop” and “agentic engineering,” and has built over 100 open source projects, including Datasette, a data analysis tool used by investigative journalists worldwide. What makes Simon unique is that he’s made the leap from traditional software engineering to AI-native development more fully and visibly than almost anyone—and he’s been documenting everything he learns in real time on his blog, SimonWillison.net.In our in-depth conversation, Simon shares:1. Why November 2025 was the inflection point when AI coding agents crossed from “mostly works” to “actually works”2. How Simon writes 95% of his code from his phone now and why he’s mentally exhausted by 11 a.m.3. Why mid-career engineers (not juniors) are most at risk right now4. The three agentic engineering patterns Simon uses daily (red/green TDD, templates, hoarding)5. The next leap: the “dark factory” pattern where nobody writes or reviews code and AI does its own QA6. Why prompt injection is an unsolved security problem and the “lethal trifecta” that will likely lead to an AI Challenger disaster7. Why the pelican riding a bicycle became the unofficial benchmark for AI model quality—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVanta—automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/an-ai-state-of-the-union—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Simon Willison:• X: https://x.com/simonw• LinkedIn: https://www.linkedin.com/in/simonwillison• Website: https://simonwillison.net• Agentic Engineering Patterns: <a target="_blank" href="h

Claire Vo is the host of our sister podcast, “How I AI,” a former product executive and engineer, and founder of an AI startup called ChatPRD. Claire now runs her business, podcast, and family life with the help of nine OpenClaw agents running on multiple Mac Minis and old laptops. In this episode, Claire shares her journey from OpenClaw skeptic (it deleted her family calendar the first time she tried it) to true believer, and gives a masterclass in using AI agents in real life.We discuss:1. The exact step-by-step process to install and set up OpenClaw (it’s easier than you think)2. How to avoid the biggest OpenClaw mistakes (don’t install it on your main computer)3. Actual use cases that have changed Claire’s life (e.g. family scheduling, inbound sales, podcast prep, and course management)4. Why multiple specialized agents beat one general-purpose agent5. The security risks everyone worries about—and how to handle them6. Browser limitations, memory issues, and practical workarounds—Brought to you by:Mercury—Radically different bankingOmni—AI analytics your customers can trustOrkes—The enterprise platform for reliable applications and agentic workflows—Where to find Claire Vo:• X: https://x.com/clairevo• LinkedIn: https://www.linkedin.com/in/clairevo• Podcast: https://www.youtube.com/@howiaipodcast• Website: https://clairevo.com• ChatPRD: https://www.chatprd.ai—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 Claire and OpenClaw(08:00) The journey from OpenClaw skeptic to believer(11:50) What OpenClaw actually does that’s useful(13:35) OpenClaw vs. other AI agent products(17:05) How to actually install OpenClaw: the basics(18:49) Setting up like you’d onboard a real assistant(20:41) Security an

Jessica Fain is a product leader at Webflow and former Chief of Staff to the CPO at Slack, where she worked alongside April Underwood and many past podcast guests including Stewart Butterfield, Annie Pearl, Tamar Yehoshua, and Noah Weiss. She’s spent her career learning how executives actually make decisions—and why most people completely misunderstand the process.We discuss:1. Why great ideas often don’t get buy-in2. Why executive calendars are “like strobe lights” and why the first 30 seconds of a meeting matter so much3. Why executives are usually optimizing for a global maximum while you are often optimizing locally4. The best question Jessica uses when a leader says something that seems wrong: “That’s so interesting. What led you to believe that?”5. Why you should go in to learn, not to convince6. Why showing only one option is a mistake7. Why AI will make influence more important, not less—Brought to you by:Omni—AI analytics your customers can trustLovable—Build apps by simply chatting with AIVanta—Automate compliance, manage risk, and accelerate trust with AI—Episode transcript: https://www.lennysnewsletter.com/p/the-art-of-influence-jessica-fain—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jessica Fain:• LinkedIn: https://www.linkedin.com/in/jessica-fain-79b8989—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 Jessica Fain(03:53) Why influence is the highest-leverage skill in product(04:47) Why great ideas fail without executive buy-in(06:00) How executives actually think(09:05) The fundamentals: context-setting, communication, and empathy(10:22) Stop pitc

Jacob Warwick is an executive negotiation coach who helps senior operators negotiate better salary, equity, titles, and severance packages. He has worked with leaders across tech and Hollywood, was previously a founder and CEO himself, and has helped clients secure millions in additional compensation. His approach focuses on collaboration over confrontation, understanding motivations, and treating job searches like enterprise sales processes.We discuss:1. Why a simple “What’s the chance there’s a little more here?” often unlocks a 20% bump2. Why Jacob sees 40% average movement when negotiations are run well3. When negotiation actually starts (hint: it’s much earlier than you think)4. Why information + timing create power5. The biggest mistakes people make when negotiating6. How to navigate the important “What’s your comp expectation?” question without anchoring too low7. Why the best interviews feel more like discovery calls than interrogations—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsMercury—Radically different bankingOmni—AI analytics your customers can trust—Episode transcript: https://www.lennysnewsletter.com/p/the-tactical-playbook-for-getting-more-comp—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jacob Warwick:• Substack: https://www.execsandthecity.com• YouTube: https://www.youtube.com/@ExecsandtheCity• Website: https://www.thinkwarwick.com• Complete Job Search Course: https://www.execsandthecity.com/p/complete-job-search-course—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: htt

People have been asking me to sit on the other side of the mic for a long time. With my wife’s debut children’s book, Charts for Babies, coming out next month, we figured: why not do it together? What followed was one of the most honest conversations I’ve had on this podcast. Michelle asked things no one else would think to ask—and many things I’ve never shared publicly. You’ll hear about the specific moments that pushed me to start the newsletter, how I think about quality and iteration, what most stresses me out, and the scariest moment of my life. This was so fun, and so special, and I hope you like it.We discuss:1. The collection of moments that led me to what I do now2. When I added a paywall, and how I knew it was working3. The hidden treadmill behind shipping a newsletter post and podcast episode every week4. The most stressful moments I’ve had in business and in life5. How I think about stress, consistency, and keeping the business small—Pre-order Charts for Babies: https://www.amazon.com/Charts-Babies-Picture-Book/dp/1419785184—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyMetaview—The AI platform for recruiting: https://metaview.ai/lennyDX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/how-i-built-a-1m-subscriber-newsletter—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Michelle Rial:• X: https://x.com/TheRialMichelle• LinkedIn: https://www.linkedin.com/in/michellerial• Website: https://www.michellerial.com—<s

Qasar Younis is the co-founder and CEO of Applied Intuition, a $15 billion AI company that adds intelligence to cars, tractors, planes, submarines, and other vehicles—essentially, Tesla or Waymo without the hardware. He was previously COO of Y Combinator, started his career as an engineer at GM and Bosch, and was born on a farm in Pakistan.We discuss:1. Why the biggest AI revolution will play out in mining, farming, construction, and trucking over the next 5 to 10 years, not in software2. Why Qasar intentionally stayed under the radar for nearly a decade while building Applied Intuition, and why most founders shouldn’t do that3. The truth about China’s AI capabilities and why comparisons to American companies are fundamentally flawed4. The company values that drive Applied Intuition: speed above everything, laugh a lot, half the work is follow-up, never disappoint the customer5. The biggest lessons from Qasar’s stint as YC’s COO, including that the most successful companies show traction very early6. How reading old books is the best way to build taste—Brought to you by:Omni—AI analytics your customers can trustVanta—Automate compliance. Simplify security.Lovable—Build apps by simply chatting with AI—Episode transcript: https://www.lennysnewsletter.com/p/the-most-successful-ai-company-youve-never-heard-of—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Qasar Younis:• X: https://x.com/qasar• LinkedIn: https://www.linkedin.com/in/qasar• Website: https://qy.co• Reading list: https://qy.co/books—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrach

Jenny Wen leads design for Claude at Anthropic. Prior to this, she was Director of Design at Figma, where she led the teams behind FigJam and Slides. Before that, she was a designer at Dropbox, Square, and Shopify.—We discuss:1. Why the classic discovery → mock → iterate design process is becoming obsolete2. What a day in the life of a designer at Anthropic looks like, including her AI tool stack3. Whether AI will eventually surpass humans in taste and judgment4. Why Jenny left a director role at Figma to return to IC work at Anthropic5. The three archetypes Jenny is hiring for now6. Why chatbot interfaces may be more durable than most people expect—Brought to you by:Mercury—Radically different banking: https://mercury.com/?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q1_brand_campaignOrkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Omni—AI analytics your customers can trust: https://omni.co/lenny—Episode transcript: https://www.lennysnewsletter.com/p/the-design-process-is-dead—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jenny Wen:• X: https://x.com/jenny_wen• LinkedIn: https://www.linkedin.com/in/jennywen• Substack: https://jennywen.substack.com• Website: https://jennywen.ca—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: <a target="_blank" href="https://www.

Jeetu Patel is the president and chief product officer at Cisco, where he leads a team of 30,000 people and is playing a central role in the massive AI infrastructure buildout happening right now. Previously, he spent five years as CPO at Box and 17 years running his own startup. Recently Jeetu organized an AI summit featuring industry leaders like Jensen Huang, Sam Altman, Marc Andreessen, and Fei-Fei Li.We discuss:1. How Cisco went AI-first across 90,000 employees2. His six-part framework for building great companies: timing, market, team, product, brand, distribution3. Why he says he couldn’t have done this job without AI4. His “right to win” strategic framework5. His communication framework for preventing “packet loss” across an organization6. Why he flips “praise in public, criticize in private” and does the exact opposite7. The important communication lesson his mother taught him—Brought to you by:Sentry—Code breaks, fix it faster: https://sentry.io/lennyFramer—Build better websites faster: https://framer.com/lennySamsara—Saving lives with AI built for physical operations: https://samsara.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/ai-is-critical-for-humanitys-survival—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jeetu Patel:• X: https://x.com/jpatel41• LinkedIn: https://www.linkedin.com/in/jeetupatel• Website: https://blogs.cisco.com/author/jeetupatel—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: http

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.We discuss:1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month2. The counterintuitive product principles that drove Claude Code’s success3. Why Boris believes coding is “solved”4. The latent demand that shaped Claude Code and Cowork5. Practical tips for getting the most out of Claude Code and Cowork6. How underfunding teams and giving them unlimited tokens leads to better AI products7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks8. Three principles Boris shares with every new team member—Brought to you by:DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lennySentry—Code breaks, fix it faster: https://sentry.io/lennyMetaview—The AI platform for recruiting: https://metaview.ai/lenny—Episode transcript: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Boris Cherny:• X: https://x.com/bcherny• LinkedIn: https://www.linkedin.com/in/bcherny• Website: https://borischerny.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:</p

Brian Halligan co-founded HubSpot, ran it as CEO for about 15 years, and now coaches Sequoia’s fastest-growing founders as their in-house CEO coach.We discuss:1. His LOCKS framework for evaluating founders2. Why you should build your team like the 2004 Red Sox3. Why hiring “spicy” candidates beats consensus picks4. Why enterprise sales will be the last white-collar job AI replaces5. Some of my favorite “Halliganisms”—Brought to you by:Sentry—Code breaks, fix it faster: http://sentry.io/lennyDatadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/sequoia-ceo-coach-why-its-never-been—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Brian Halligan• X: https://x.com/bhalligan• LinkedIn: linkedin.com/in/brianhalligan• Delphi: https://www.delphi.ai/bhalligan• Podcast: https://sequoiacap.com/series/long-strange-trip—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 Brian Halligan(03:56) The perpetual state of constructive dissatisfaction(05:25) Coaching CEOs(07:49) The art of interviewing and hiring(11:21)

Sherwin Wu leads engineering for OpenAI’s API platform, where roughly 95% of engineers use Codex, often working with fleets of 10 to 20 parallel AI agents.We discuss:1. What OpenAI did to cut code review times from 10-15 minutes to 2-3 minutes2. How AI is changing the role of managers3. Why the productivity gap between AI power users and everyone else is widening4. Why “models will eat your scaffolding for breakfast”5. Why the next 12 to 24 months are a rare window where engineers can leap ahead before the role fully transforms—Brought to you by:DX—The developer intelligence platform designed by leading researchersSentry—Code breaks, fix it fasterDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Episode transcript: https://www.lennysnewsletter.com/p/engineers-are-becoming-sorcerers—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Sherwin Wu:• X: https://x.com/sherwinwu• LinkedIn: https://www.linkedin.com/in/sherwinwu1—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 Sherwin Wu(03:10) AI’s role in coding at OpenAI(06:53) The future of software engineering with AI(12:26) The stress of managing agents(15:07) Codex and code review automation(19:29) The changing role of engineering managers(24:14) The one-person billion-dollar startup(31:40) Management lessons(37:28) Challenges and best practices in AI deployment(43:56) Hot takes on AI and customer feedback(48:57) Building for future AI capabilities(50:16) Where models are headed in the next 18 months

Lazar Jovanovic is a full-time professional vibe coder at Lovable. His job is to build both internal tools and customer-facing products purely using AI, while not having a coding background. In this conversation, he breaks down the tactics, workflows, and framework that let him ship production-quality products using only AI.We discuss:1. Why having no coding background can be an advantage when building with AI2. Why most of your time should go to planning and chat mode, not prompting3. What to do when you get stuck: his 4x4 debugging workflow4. The PRD and Markdown file system that keeps AI agents aligned across complex builds5. Why kicking off four or five parallel prototypes is the best way to clarify your thinking6. Why design skills and taste are going to be the most important skills in the future7. His “genie and three wishes” mental model for making the most of AI’s limitations8. How product, engineering, and design roles are converging—and what that means for your career—Brought to you by:Strella—The AI-powered customer research platform: https://strella.io/lennySamsara—Saving lives with AI built for physical operations: https://samsara.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/getting-paid-to-vibe-code—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Lazar Jovanovic:• X: https://x.com/lakikentaki• LinkedIn: https://www.linkedin.com/in/lazar-jovanovic• YouTube: https://www.youtube.com/@50in50challenge• Starter Story course: https://build.starterstory.com/build/ai-build-accelerator?via=lazar (code LAZAR15

Dr. Becky Kennedy is a clinical psychologist, the bestselling author of Good Inside, and the founder of a parenting platform used by millions. Known for her practical, psychology-based approach to parenting, Dr. Becky shares how the same principles that help parents raise resilient children can make you a much more effective leader. In this conversation, she breaks down why all human systems—whether families or companies—operate on the same fundamental principles, and how understanding these dynamics can make you more effective in every relationship.We discuss:1. Why repair—not perfection—defines strong leadership2. Why you need to connect before you correct to build cooperation and trust3. The “most generous interpretation” framework for handling difficult behaviors4. How to correctly set boundaries (vs. making requests)5. The power of “I believe you, and I believe in you”6. What it looks like to be a “sturdy” leader—Brought to you by:Merge—Fast, secure integrations for your products and agents: https://merge.dev/lennyMetaview—The AI platform for recruiting: https://metaview.ai/lennyFramer—Builder better websites faster: https://framer.com/lenny—Episode transcript: https://www.lennysnewsletter.com/p/dr-becky-on-the-surprising-overlap—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Dr. Becky Kennedy:• X: https://x.com/GoodInside• LinkedIn: https://www.linkedin.com/in/drbecky• Instagram: https://www.instagram.com/drbeckyatgoodinside• TikTok: https://www.tiktok.com/@drbeckyatgoodinside• Website: https://www.goodinside.com—Where to find Lenny:• Newsletter:

Marc Andreessen is a founder, investor, and co-founder of Netscape, as well as co-founder of the venture capital firm Andreessen Horowitz (a16z). In this conversation, we dig into why we’re living through a unique and one of the most incredible times in history, and what comes next.We discuss:1. Why AI is arriving at the perfect moment to counter demographic collapse and declining productivity2. How Marc has raised his 10-year-old kid to thrive in an AI-driven world3. What’s actually going to happen with AI and jobs (spoiler: he thinks the panic is “totally off base”)4. The “Mexican standoff” that’s happening between product managers, designers, and engineers5. Why you should still learn to code (even with AI)6. How to develop an “E-shaped” career that combines multiple skills, with AI as a force multiplier7. The career advice he keeps coming back to (“Don’t be fungible”)8. How AI can democratize one-on-one tutoring, potentially transforming education9. His media diet: X and old books, nothing in between—Brought to you by:DX—The developer intelligence platform designed by leading researchersBrex—The banking solution for startupsDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Episode transcript: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Marc Andreessen:• X: https://x.com/pmarca• Substack: https://pmarca.substack.com• Andreessen Horowitz’s website: https://a16z.com• Andreessen Horowitz’s YouTube channel: https://www.youtube.com/@a16z—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• Link

Jason Cohen is a four-time founder (including two unicorns, one being WP Engine) and an investor in over 60 startups, and has been sharing his lessons on company building at A Smart Bear for nearly 20 years. In this episode, Jason shares his methodical five-step framework for diagnosing stalled growth—a problem that faces almost every team.We discuss:1. Jason’s five-step framework: logo retention, pricing, NRR, marketing channels, target market2. A small tweak that’ll double response rates on your cancellation surveys3. Why “it’s too expensive” is almost never the real reason customers cancel4. The “elephant curve” of growth5. How repositioning the same product can increase revenue 8x6. When to reconsider if growth is even the right goal for your business—Brought to you by:10Web—Vibe coding platform as an APIStrella—The AI-powered customer research platformBrex—The banking solution for startups—Episode transcript: https://www.lennysnewsletter.com/p/why-your-product-stopped-growing—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Jason Cohen:• Preorder Jason’s book: https://preorder.hiddenmultipliers.com/• X: https://x.com/asmartbear• LinkedIn: https://www.linkedin.com/in/jasoncohen• Blog: https://longform.asmartbear.com• Website: https://wpengine.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 t

Zevi Arnovitz is a product manager at Meta with no technical background who has figured out how to build and ship real products using AI. His engineering team at Meta asks him to teach them how he does what he does. In this episode, Zevi breaks down his complete AI workflow that allows non-technical people to build sophisticated products with Cursor.We discuss:1. The complete AI workflow that lets non-technical people build real products in Cursor2. How to use multiple AI models for different tasks (Claude for planning, Gemini for UI)3. Using slash commands to automate prompts4. Zevi’s “peer review” technique, which uses different AI models to review each other’s code5. Why this might be the best time to be a junior in tech, despite the challenging job market6. How Zevi used AI to prepare for his Meta PM interviews—Brought to you by:10Web—Vibe coding platform as an APIDX—The developer intelligence platform designed by leading researchersFramer—Build better websites faster—Zevi's Slash Command Bank for Claude: ⁠https://zeviarnovitz.com/⁠—Episode transcript: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Zevi Arnovitz• X: https://x.com/ArnovitzZevi• LinkedIn: https://www.linkedin.com/in/zev-arnovitz• Website: https://zeviarnovitz.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 c

Sam Lessin is a partner at Slow Ventures, a former VP of Product at Facebook, and a two-time founder who’s now teaching etiquette to Silicon Valley’s founders. In this unconventional episode, Sam explains why proper etiquette has become a vital skill for founders in 2026—especially as technology becomes more central to society and trust becomes harder to build. His etiquette book and courses have become surprisingly popular, teaching founders how to “show up in a room with a low heart rate” and quickly build trust.We discuss:1. Why etiquette matters2. Sam’s framework for showing up confidently, with a low heart rate, in any room3. How to navigate introductions, small talk, meetings, and meals like a pro4. Simple hacks for remembering names and handling awkward social situations5. 30+ specific etiquette tips—Brought to you by:10Web—Vibe-coding platform as an APIDX—The developer intelligence platform designed by leading researchersWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs—Episode transcript: https://www.lennysnewsletter.com/p/silicon-valleys-missing-etiquette-playbook—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Sam Lessin:• X: https://x.com/lessin• LinkedIn: https://www.linkedin.com/in/wlessin• Website: https://www.wlessin.com• Podcast: https://moreorlesspod.com• Lettermeme: https://lettermeme.com/lessin—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)

Aishwarya Naresh Reganti and Kiriti Badam have helped build and launch more than 50 enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. The goal of this conversation is to save you and your team a lot of pain and suffering.We discuss:1. Two key ways AI products differ from traditional software, and why that fundamentally changes how they should be built2. Common patterns and anti-patterns in companies that build strong AI products versus those that struggle3. A framework they developed from real-world experience to iteratively build AI products that create a flywheel of improvement4. Why obsessing about customer trust and reliability is an underrated driver of successful AI products5. Why evals aren’t a cure-all, and the most common misconceptions people have about them6. The skills that matter most for builders in the AI era—Brought to you by:Merge—The fastest way to ship 220+ integrations: https://merge.dev/lennyStrella—The AI-powered customer research platform: https://strella.io/lennyBrex—The banking solution for startups: https://www.brex.com/product/business-account?ref_code=bmk_dp_brand1H25_ln_new_fs—Transcript: https://www.lennysnewsletter.com/p/what-openai-and-google-engineers-learned—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/183007822/referenced—Get 15% off Aishwarya and Kiriti’s Maven course, Building Agentic AI Applications with a Problem-First Approach, using this link: https://bit.ly/3V5XJFp—Where to find Aishwarya Naresh Reganti:• LinkedIn: https://www.linkedin.com/in/areganti• GitHub: https://github.com/aishwaryanr/awe

Molly Graham has worked for some of tech’s most effective leaders, including Mark Zuckerberg, Sheryl Sandberg, Chamath Palihapitiya, and Bret Taylor. Today she leads Glue Club, a community for leaders navigating rapid scale, growth, and change. She’s best known for her “Give away your Legos” framework and her collection of practical mental models for leading through hypergrowth.We discuss:1. “Give away your Legos”: a framework for scaling yourself as a leader2. “J-curves vs. stairs”: the two paths of career growth, and why you should pick the scarier path3. “The waterline model” for diagnosing team problems (and why you should “snorkel before you scuba”)4. Six rules for creating effective goals (and aligning everyone around them)5. Rules of thumb for leading through rapid scale and change6. Her biggest leadership lessons from Mark Zuckerberg, Sergey Brin, Larry Page, Sheryl Sandberg, and Bret Taylor—Brought to you by:DX—The developer intelligence platform designed by leading researchersBrex—The banking solution for startupsGoFundMe Giving Funds—Make helping a habit—Transcript: https://www.lennysnewsletter.com/p/the-high-growth-handbook-molly-graham—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182877855/my-biggest-takeaways-from-this-conversation—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) Introduction to Molly Graham(04:28) Molly’s b

Jason Lemkin is the founder of SaaStr, the world’s largest community for software founders, and a veteran SaaS investor who has deployed over $200 million into B2B startups. After his last salesperson quit, Jason made a radical decision: replace his entire go-to-market team with AI agents. What started as an experiment has transformed into a new operating model, where 20 AI agents managed by just 1.2 humans now do the work previously handled by a team of 10 SDRs and AEs. In this conversation, Jason shares his hands-on experience implementing AI to run his sales org, including what works, what doesn’t, and how the GTM landscape is quickly being transformed.We discuss:1. How AI is fundamentally changing the sales function2. Why most SDRs and BDRs will be “extinct” within a year3. What Jason is observing across his portfolio about AI adoption in GTM4. How to become “hyper-employable” in the age of AI5. The specific AI tools and tactics he’s using that have been working best6. Practical frameworks for integrating AI into your sales motion without losing what works7. Jason’s 2026 predictions on where SaaS and GTM are heading next—Brought to you by:DX—The developer intelligence platform designed by leading researchersVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Transcript: https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182902716/my-biggest-takeaways-from-this-conversation—Where to find Jason Lemkin:• X: https://x.com/jasonlk• LinkedIn: https://www.linkedin.com/in/jasonmlemkin• Website: https://www.saastr.com• Substack: https://substack.com/@cloud—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: <a target="_blank" hre

Matt MacInnis is the chief product officer and former longtime COO at Rippling, a unified workforce management platform valued at over $16 billion.We discuss:1. Why “extraordinary results demand extraordinary efforts”2. Why you should deliberately understaff projects, and how to know when you’ve gone too far3. Matt’s transition from COO to CPO and what surprised him about leading product4. The “high alpha, low beta” framework for evaluating people, processes, and products5. When founders should quit their startups (hint: much earlier than VCs want you to)6. How to fight entropy in your organization through relentless energy and intensity—Brought to you by:Google Gemini—Your everyday AI assistant: https://ai.dev/Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyGoFundMe Giving Funds—Make year-end giving easy: http://gofundme.com/lenny—Transcript: https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/181916584/my-biggest-takeaways-from-this-conversation—Where to find Matt MacInnis:• X: https://x.com/stanine• LinkedIn: https://www.linkedin.com/in/macinnis• 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 Matt MacInnis and Rippling(04:38) The importance of extraordinary efforts(08:37) The challenges and rewards of relentless effort(10:11) Your job as a leader is to preserve intensity<p

Sander Schulhoff is an AI researcher specializing in AI security, prompt injection, and red teaming. He wrote the first comprehensive guide on prompt engineering and ran the first-ever prompt injection competition, working with top AI labs and companies. His dataset is now used by Fortune 500 companies to benchmark their AI systems security, he’s spent more time than anyone alive studying how attackers break AI systems, and what he’s found isn’t reassuring: the guardrails companies are buying don’t actually work, and we’ve been lucky we haven’t seen more harm so far, only because AI agents aren’t capable enough yet to do real damage.We discuss:1. The difference between jailbreaking and prompt injection attacks on AI systems2. Why AI guardrails don’t work3. Why we haven’t seen major AI security incidents yet (but soon will)4. Why AI browser agents are vulnerable to hidden attacks embedded in webpages5. The practical steps organizations should take instead of buying ineffective security tools6. Why solving this requires merging classical cybersecurity expertise with AI knowledge—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyMetronome—Monetization infrastructure for modern software companies: https://metronome.com/GoFundMe Giving Funds—Make year-end giving easy: http://gofundme.com/lenny—Transcript: https://www.lennysnewsletter.com/p/the-coming-ai-security-crisis—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/181089452/my-biggest-takeaways-from-this-conversation—Where to find Sander Schulhoff:• X: https://x.com/sanderschulhoff• LinkedIn: https://www.linkedin.com/in/sander-schulhoff• Website: https://sanderschulhoff.com• AI Red Teaming and AI Security Masterclass on Maven: https://bit.ly/44lLSbC—Where

Elena Verna is the head of growth at Lovable, the leading AI-powered app builder that hit $200 million in annual recurring revenue in under a year with just 100 employees. In this record fourth appearance on the podcast, Elena shares how the traditional growth playbook has been completely rewritten for AI companies. She explains why Lovable focuses on innovation over optimization, how they’ve shifted from activation to building new features, and why giving away their product for free has become their most powerful growth strategy.We discuss:1. Why 60% to 70% of traditional growth tactics no longer apply in AI2. Why you have to re-find product-market fit every 3 months3. The specific growth tactics driving Lovable’s unprecedented growth4. Why giving away product is a growth strategy that beats paid ads5. “Minimum lovable product” as the new standard (not minimum viable product)6. Why activation now belongs to product teams, not growth teams7. Whether you should join an AI startup (honest tradeoffs)—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webPersona—A global leader in digital identity verification—Transcript: ⁠https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/181207556/my-biggest-takeaways-from-this-conversation⁠—Where to find Elena Verna:• X: https://x.com/elenaverna• LinkedIn: https://www.linkedin.com/in/elenaverna• Newsletter: https://www.elenaverna.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: <a target="_blank" href="h

Alexander Embiricos leads product on Codex, OpenAI’s powerful coding agent, which has grown 20x since August and now serves trillions of tokens weekly. Before joining OpenAI, Alexander spent five years building a pair programming product for engineers. He now works at the frontier of AI-led software development, building what he describes as a software engineering teammate—an AI agent designed to participate across the entire development lifecycle.We discuss:1. Why Codex has grown 20x since launch and what product decisions unlocked this growth2. How OpenAI built the Sora Android app in just 18 days using Codex3. Why the real bottleneck to AGI-level productivity isn’t model capability—it’s human typing speed4. The vision of AI as a proactive teammate, not just a tool you prompt5. The bottleneck shifting from building to reviewing AI-generated work6. Why coding will be a core competency for every AI agent—because writing code is how agents use computers best—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imc—Transcript: https://www.lennysnewsletter.com/p/why-humans-are-ais-biggest-bottleneck—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180365355/my-biggest-takeaways-from-this-conversation—Where to find Alexander Embiricos:• X: https://x.com/embirico• LinkedIn: https://www.linkedin.com/in/embirico—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: <a target="_blank" href="https://twitter.com/l

Edwin Chen is the founder and CEO of Surge AI, the company that teaches AI what’s good vs. what’s bad, powering frontier labs with elite data, environments, and evaluations. Surge surpassed $1 billion in revenue with under 100 employees last year, completely bootstrapped—the fastest company in history to reach this milestone. Before founding Surge, Edwin was a research scientist at Google, Facebook, and Twitter and studied mathematics, computer science, and linguistics at MIT.We discuss:1. How Surge reached over $1 billion in revenue with fewer than 100 people by obsessing over quality2. The story behind how Claude Code got so good at coding and writing3. The problems with AI benchmarks and why they’re pushing AI in the wrong direction4. How RL environments are the next frontier in AI training5. Why Edwin believes we’re still a decade away from AGI6. Why taste and human judgment shape which AI models become industry leaders7. His contrarian approach to company building that rejects Silicon Valley’s “pivot and blitzscale” playbook8. How AI models will become increasingly differentiated based on the values of the companies building them—Brought to you by:Vanta—Automate compliance. Simplify security.WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsCoda—The all-in-one collaborative workspace—Transcript: https://www.lennysnewsletter.com/p/surge-ai-edwin-chen—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180055059/my-biggest-takeaways-from-this-conversation—Where to find Edwin Chen:• X: https://x.com/echen• LinkedIn: https://www.linkedin.com/in/edwinzchen• Surge’s blog: https://surgehq.ai/blog—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:</str

Tomer Cohen is the longtime chief product officer at LinkedIn, where he’s pioneering the Full Stack Builder program, a radical new approach to product development that fully embraces what AI makes possible. Under his leadership, LinkedIn has scrapped its traditional Associate Product Manager program and replaced it with an Associate Product Builder program that teaches coding, design, and PM skills together. He’s also introduced a formal “Full Stack Builder” title and career ladder, enabling anyone from any function to take products from idea to launch. In this conversation, Tomer explains why product development has become too complex at most companies and how LinkedIn is building an AI-powered product team that can move faster, adapt more quickly, and do more with less.We discuss:1. How 70% of the skills needed for jobs will change by 20302. The broken traditional model: organizational bloat slows features to a six-month cycle3. The Full Stack Builder model4. Three pillars of making FSB work: platform, agents, and culture (culture matters most)5. Building specialized agents that critique ideas and find vulnerabilities6. Why off-the-shelf AI tools never work on enterprise code without customization7. Top performers adopt AI tools fastest, contrary to expectations about leveling effects8. Change management tactics: celebrating wins, making tools exclusive, updating performance reviews—Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Miro—The AI Innovation Workspace where teams discover, plan, and ship breakthrough products: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-linkedin-is-replacing-pms—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180042347/my-takeaways-from-this-conversation—Where to find Tomer Cohen:• LinkedIn: https://www.linkedin.com/in/tomercohen• Podcast: <a target="_blank" href="https://podcasts.apple.com/us/podcast/building-one-with

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe’s early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—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 Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with

Rachel Lockett is a sought-after executive coach and former HR leader at Stripe and Pinterest who now works with CEOs, founders, and tech leaders on emotional intelligence, resilience, and leadership skills. In this episode, Rachel shares powerful frameworks for coaching reports, having difficult conversations, avoiding burnout, and strengthening co-founder relationships. She also demonstrates these techniques through a live coaching session with me.We discuss:* When to coach and when to just tell people what to do [09:00]* The GROW technique for helping people figure out a solution for themselves [18:37]* Techniques for making difficult conversations less difficult [01:20:28]* Avoiding burnout and designing a more energizing career [41:55]* Building and sustaining a healthy co-founder relationship [01:06:50]* Creating a one-page plan that aligns your entire company [01:31:47]* Practical ways AI is transforming executive coaching and leadership development [01:36:50]* Why you should ask, “Would I enthusiastically rehire this person?” to clarify talent decisions [23:55]Also on Spotify and Apple PodcastsBrought to you by:Stripe—Helping companies of all sizes grow revenueVanta—Automate compliance. Simplify security.Persona—A global leader in digital identity verificationWhere to find Rachel Lockett:• LinkedIn: https://www.linkedin.com/in/rhlockett/• Website: https://www.lockettcoaching.comReferenced:• One-page plan template: https://www.lockettcoaching.com/#resources• Lockett Coaching

Stewart Butterfield is the co-founder of Slack and Flickr, two of the most influential products in internet history. After selling Slack to Salesforce in one of tech’s biggest acquisitions, he’s been focused on family, philanthropy, and creative projects. In this rare podcast appearance, Stewart shares the product frameworks and leadership principles that most contributed to his success. From “utility curves” to “the owner’s delusion” to “hyper-realistic work-like activities,” his thoughts on craft, strategy, and leadership apply to anyone building products or leading teams.We discuss:1. Hyper-realistic work-like activities2. The owner’s delusion3. Utility curves4. “Don’t make me think”5. “We don’t sell saddles here”6. Tilting your umbrella7. When to pivot—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsMetronome—Monetization infrastructure for modern software companiesLovable—Build apps by simply chatting with AI—Transcript: https://www.lennysnewsletter.com/p/slack-founder-stewart-butterfield—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/178320649/my-biggest-takeaways-from-this-conversation—Where to find Stewart Butterfield:• X: https://x.com/stewart• LinkedIn: https://www.linkedin.com/in/butterfield—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 Stewart Butterfield(04:58) Stewart’s current life and reflections(06:44) Understanding utility curves(10:13) The concept of divine discontent(15:11) The importance of taste in product design(19:03) Tilting your umbrella(28:32) Balancing friction and comprehension(45:07) The value of constant dissatisfaction(47:06) Embracing continuous

Dr. Fei-Fei Li is known as the “godmother of AI.” She’s been at the center of AI’s biggest breakthroughs for over two decades. She spearheaded ImageNet, the dataset that sparked the deep-learning revolution we’re living right now, served as Google Cloud’s Chief AI Scientist, directed Stanford’s Artificial Intelligence Lab, and co-founded Stanford’s Institute for Human-Centered AI. In this conversation, Fei-Fei shares the rarely told history of how we got here—including the wild fact that just nine years ago, calling yourself an AI company was basically a death sentence.We discuss:1. How ImageNet helped spark the AI explosion we’re living through2. Why world models and spatial intelligence represent the next frontier in AI, beyond large language models3. Why Fei-Fei believes AI won’t replace humans but will require us to take responsibility for ourselves4. The surprising applications of Marble, from movie production to psychological research5. Why robotics faces unique challenges compared with language models and what’s needed to overcome them6. How to participate in AI regardless of your role—Brought to you by:Figma Make—A prompt-to-code tool for making ideas realJustworks—The all-in-one HR solution for managing your small business with confidenceSinch—Build messaging, email, and calling into your product—Transcript: https://www.lennysnewsletter.com/p/the-godmother-of-ai—My biggest takeaways (for paid newsletter subscribers):https://www.lennysnewsletter.com/i/178223233/my-biggest-takeaways-from-this-conversation—Where to find Dr. Fei-Fei Li• X: https://x.com/drfeifei• LinkedIn: https://www.linkedin.com/in/fei-fei-li-4541247• World Labs: https://www.worldlabs.ai—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: <a target="

Grant Lee is the co-founder of Gamma, the AI-powered presentation tool that’s one of the hottest and most interesting AI startups in the world right now. They’re valued at over $2 billion, and they hit $100 million ARR in just over two years, with a lean team of just around 30 people. Unlike many fast-growing AI startups, Gamma has been profitable for most of its history, has not raised significant funding, and they built a massive business in a category most investors dismissed. In fact, one investor told Grant his idea was “the dumbest idea he had ever heard.”We discuss:• How Gamma found product-market fit by rethinking their onboarding• Their process for building a “word-of-mouth machine”• How they leveraged more than 1,000 micro-influencers instead of big names• Why focusing on the “first 30 seconds” transformed their business• Their approach to pricing that led to profitability within months• How Grant thinks about building a durable “GPT wrapper” business—Brought to you by:Vanta—Automate compliance. Simplify security.Justworks—The all-in-one HR solution for managing your small business with confidenceMiro—A collaborative visual platform where your best work comes to life—Where to find Grant Lee:• X: https://x.com/thisisgrantlee• LinkedIn: https://www.linkedin.com/in/grantslee—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 Grant Lee and Gamma(05:59) The founding story of Gamma(09:52) Achieving product-market fit(15:43) Self-awareness as a founder(17:17) The power of onboarding(20:41) The original insight that led to Gamma(22:42) Founder-led marketing and growth tactics(29:20) Sharing online(37:40) Getting to $100M ARR(41:19) Influencer marketing as a growth strategy(54:08) Virality is not an accident

Jen Abel is GM of Enterprise at State Affairs and co-founded Jellyfish, a consultancy that helps founders learn zero-to-one enterprise sales. She’s one of the smartest people I’ve ever met on learning enterprise sales, and in this follow-up to our first chat two years ago (covering the zero to $1 million ARR founder-led sales phase), we focus on the skills founders need to learn to go from $1M to $10M ARR.We discuss:1. Why the “mid-market” doesn’t exist2. Why tier-one logos like Stripe and Tesla counterintuitively make the best early customers3. The dangers of pricing your product at $10K-$20K4. Why you need to vision-cast instead of problem-solve to win enterprise deals5. Why services are the fastest way to get your foot in the door with enterprises6. How to find and work with design partners7. When to hire your first salesperson and what profile to look for—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsLovable—Build apps by simply chatting with AICoda—The all-in-one collaborative workspace—Where to find Jen Abel:• X: https://x.com/jjen_abel• LinkedIn: https://www.linkedin.com/in/earlystagesales• Website: https://www.jjellyfish.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) Welcome back, Jen!(04:38) The myth of the mid-market(08:08) Targeting tier-one logos(10:50) Vision-casting vs. problem-selling(15:35) The importance of high ACVs(20:45)  Don’t play the small business game with an enterprise company(25:09) Design partners: the double-edged sword(28:11) Finding the right company(36:55) Enterprise sales: the art of the deal(43:21) The problem with channel partnerships(44:41) Quick summary(50:24) Hiring the right enterprise salespeople(56:49) Structuring sales compensation(01:01:01) Building relationships in enterprise sales(01:02:07) The art of cold outreach(01:07:31) Outbound tooling and AI<p

Melanie Perkins is CEO and co-founder of Canva, currently valued at over $42 billion, generating over $3 billion in annual revenue, with more than 240 million monthly active users and, incredibly, eight consecutive years of profitability. But the journey was far from smooth. Melanie was rejected by over 100 investors during her first fundraising round, her team spent two years without being able to ship a new feature during a technical rewrite, and the company pivoted early from a yearbook publishing platform to become the design powerhouse it is today. Through it all, she maintained what she calls “column B” thinking: building toward a dream future rather than just using the bricks around you.We discuss:1. How “column B” thinking helped Melanie build Canva, by starting with an impossible vision rather than existing constraints2. The power of setting “crazy big goals”3. How Canva survived a painful two-year period without shipping any new features while rewriting their codebase4. How Melanie pushed through 100 investor rejections, and how she used each rejection to strengthen her pitch5. Canva’s “two-step plan”: build one of the world’s most valuable companies, then do the most good possible6. Melanie’s vision for 2050 and why she believes imagination is the first step toward a better world—Brought to you by:Vanta—Automate compliance. Simplify security. https://vanta.com/lennyStripe—Helping companies of all sizes grow revenue: https://stripe.com/Justworks—The all-in-one HR solution for managing your small business with confidence: https://www.justworks.com—Transcript: ⁠https://www.lennysnewsletter.com/p/the-making-of-canva⁠⁠—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/176082995/my-biggest-takeaways-from-this-conversation—Where to find Melanie Perkins:• X: https://x.com/melaniecanva• LinkedIn: <a target="_blank" href="http

Dhanji R. Prasanna is the chief technology officer at Block (formerly Square), where he’s managed more than 4,000 engineers over the past two years. Under his leadership, Block has become one of the most AI-native large companies in the world. Before becoming CTO, Dhanji wrote an “AI manifesto” to CEO Jack Dorsey that sparked a company-wide transformation (and his promotion to CTO).We discuss:1. How Block’s internal open-source agent, called Goose, is saving employees 8 to 10 hours weekly2. How the company measures AI productivity gains across technical and non-technical teams3. Which teams are benefiting most from AI (it’s not engineering)4. The boring organizational change that boosted productivity even more than AI tools5. Why code quality has almost nothing to do with product success6. How to drive AI adoption throughout an organization (hint: leadership needs to use the tools daily)7. Lessons from building Google Wave, Google+, and other failed products—Brought to you by:Sinch—Build messaging, email, and calling into your product: https://sinch.com/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Dhanji R. Prasanna:• LinkedIn: https://www.linkedin.com/in/dhanji/—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 Dhanji(05:26) The AI manifesto: convincing Jack Dorsey(07:33) Transforming into a more AI-native company(12:05) How engineering teams work differently today(15:24) Goose: Block’s open-source AI agent(20:18) Measuring AI productivity gains across teams(21:38) What Goose is and how it works(32:15) The future of AI in engineering and productivity(37:42) The importance of human taste(40:10) Building vs. buying software(44:08) How AI is changing hiring and team stru

Chip Huyen is a core developer on Nvidia’s Nemo platform, a former AI researcher at Netflix, and taught machine learning at Stanford. She’s a two-time founder and the author of two widely read books on AI, including AI Engineering, which has been the most-read book on the O’Reilly platform since its launch. Unlike many AI commentators, Chip has built multiple successful AI products and platforms and works directly with enterprises on their AI strategies, giving her unique visibility into what’s actually happening inside companies building AI products.We discuss:1. What people think makes AI apps better vs. what actually makes AI apps better2. What pre-training vs. post-training is, and why fine-tuning should be your last resort3. How RLHF (reinforcement learning from human feedback) actually works4. Why data quality matters more than which vector database you choose5. Why high performers are seeing the most gains from AI coding tools6. Why most AI problems are actually UX issues—Brought to you by:Dscout—The UX platform to capture insights at every stage: from ideation to production: https://www.dscout.com/Justworks—The all-in-one HR solution for managing your small business with confidence: https://www.justworks.comPersona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Chip Huyen:• X: https://x.com/chipro• LinkedIn: https://www.linkedin.com/in/chiphuyen/• Website: https://huyenchip.com/• Substack: https://substack.com/@chiphuyen—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 co

Nicole Forsgren created the most widely used frameworks for measuring developer productivity—DORA and SPACE. She wrote the foundational book Accelerate and is about to release her newest book, Frictionless, a practical guide for helping teams move faster in the AI era. She’s currently Senior Director of Developer Intelligence at Google.We discuss:1. Why most productivity metrics are a lie2. Signs that your engineering team could be moving much faster3. Why AI accelerates coding but developers aren’t speeding up as much as you think4. AI’s impact on engineers getting into “flow”5. Her framework for building and scaling a developer experience team6. The three components of developer experience: flow state, cognitive load, and feedback loops—Brought to you by:Mercury—The art of simplified finances: https://mercury.com/WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyCoda—The all-in-one collaborative workspace: https://coda.io/lenny—Where to find Nicole Forsgren:• Twitter: https://twitter.com/nicolefv• LinkedIn: https://www.linkedin.com/in/nicolefv/• Website: https://nicolefv.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 Nicole Forsgren(05:09) The concept of developer experience (DevEx)(08:33) Flow state and cognitive load in the age of AI(12:02) Challenges in measuring productivity with AI(21:19) The importance of developer experience for business value(22:20) Common issues and solutions in developer experience(26:49) Signs your eng team is moving too slow(29:52) How AI is improving productivity(33:32) Real examples of productivity improvements(36:35) Introducing her new book, Frictionless(43:40) How to get started building a DevEx team(45:15) Th

Dylan Field is co-founder and CEO of Figma, a beloved tool used by every modern product team. Founded in 2012, Figma has expanded from a single design tool to a comprehensive platform including FigJam, Slides, Dev Mode, and, most recently, Figma Make. After a $20 billion acquisition by Adobe fell through due to regulatory pushback, Dylan led the company to a successful IPO in 2025.What you’ll learn:• How Dylan kept internal morale up after the Adobe acquisition fell through• His approach to maintaining pace and a sense of urgency 13 years in• How to systematically develop taste• How Figma decides which product lines to add• Why Dylan obsesses over “time to value”• How AI is making design more valuable—Brought to you by:Stripe—Helping companies of all sizes grow revenue—Transcript: ⁠https://www.lennysnewsletter.com/p/why-ai-makes-design-craft-and-quality-the-new-moat⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/175569466/my-biggest-takeaways-from-this-conversation⁠—Where to find Dylan Field:• X: https://x.com/zoink• LinkedIn: https://www.linkedin.com/in/dylanfield/—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 Dylan Field(03:58) The Adobe deal fallout(05:50) Maintaining team morale post-deal(09:13) Strategies for sustaining high performance(13:37) Maintaining Figma’s unique company culture(16:22) Dylan’s leadership evolution(21:03) How to improve clarity as a leader(24:40) The controversy behind FigJam(31:06) Lessons from expanding Figma’s core product line(39:32) Time-to-value(45:14) Introduction to Figma Make(48:26) AI

Robby Stein is VP of Product at Google, where he oversees the core products of Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other key features now used by billions.—What you’ll learn:Why Google’s AI products are suddenly taking off after years of perceived stagnation How AI is expanding Search rather than replacing it, contrary to what many predicted The three core product principles that have helped Robby build multiple billion-user products Inside Instagram’s decision to build its own version of Snapchat Stories His mantra of “relentless improvement” How Google developed AI Mode from concept to launch in just one year Why most teams give up too early on potentially transformative products —Brought to you by:Vanta—Automate compliance. Simplify security: https://vanta.com/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imcOrkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/—Transcript: https://www.lennysnewsletter.com/p/how-google-built-ai-mode-in-under-a-year—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/175041217/my-biggest-takeaways-from-this-conversation⁠—Where to find Robby Stein:• X: https://x.com/rmstein• LinkedIn: https://www.linkedin.com/in/robbystein/—Referenced:• Google Gemini: https://gemini.google.com/app• Nano Banana: <a target="_bl

Jason Droege is the CEO of Scale AI, a company that provides foundational training data to every major AI lab. He previously co-founded Scour with Travis Kalanick and built Uber Eats from idea to $20 billion in revenue. In this conversation, Jason shares lessons from getting sued for $250 billion, discovering restaurant economics by weighing sandwich ingredients, and over 25 years of launching transformative technology businesses.What you’ll learn:What actually happened with Meta’s $14 billion investment in Scale AIWhy AI models still need human experts to improve, and how that relationship is evolvingHow AI models learn from experts building websites and debugging codeThe business lessons from building Uber Eats from zero to $20 billionWhy most enterprise data is useless for AI models todayWhy urgent daily problems beat super-valuable occasional problems when building productsHow to think independently when building new products and businesses—Brought to you by:Merge—The fastest way to ship 220+ integrations: http://merge.dev/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Mercury—The art of simplified finances: https://mercury.com/—Transcript: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/174979621/my-biggest-takeaways-from-this-conversation—Where to find Jason Droege:• X: https://x.com/jdroege• LinkedIn: https://www.linkedin.com/in/jasondroege/—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 Jason Droege(06:01) Jason’s early career and lessons learned(10:27) The current sta

Albert Cheng has led growth at three of the world’s most successful consumer subscription companies: Duolingo, Grammarly, and Chess.com. A former Google product manager (and serious pianist!), Albert developed a unique approach to finding and scaling growth opportunities through rapid experimentation and deep user psychology. His teams run 1,000 experiments a year, discovering counterintuitive insights that have driven tens of millions in revenue.What you’ll learn:1. How to use the explore-exploit framework to find new growth opportunities2. How showing premium features to free users doubled Grammarly’s upgrades to paid plans3. What good retention looks like for a consumer subscription app4. Why resurrected users drive 80% of mature product growth5. Why “reverse trials” work better than time-based trials6. The three pillars of successful gamification: core loop, metagame, and profile —Brought to you by:Vanta—Automate compliance. Simplify security.Jira Product Discovery—Confidence to build the right thingMiro—A collaborative visual platform where your best work comes to life—Where to find Albert Cheng:• X: https://x.com/albertc248• LinkedIn: https://www.linkedin.com/in/albertcheng1/• Chess.com: https://www.chess.com/member/Goniners—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—Referenced:• How Duolingo reignited user growth: https://www.lennysnewsletter.com/p/how-duolingo-reignited-user-growth• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Explore vs. Exploit: https://brianbalfour.com/quick-takes/explo