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Lenny Rachitsky

Writer of Lenny's Newsletter and host of Lenny's Podcast.

LR
Essays & posts326
Podcast episodes317
X posts6
Newest first
Lenny’s Podcast109 min

Jeetu Patel

Jeetu Patel · Feb 26, 2026
Key learnings
  • Distinguish a megatrend from a hype cycle: don't fight real megatrends like AI, and avoid vanity work chasing hype.
  • Before investing, ask whether you have 'permission to play' and a route to mass distribution; otherwise dollars spent on product…
  • Make bold bets clear and go all in once an experiment works, rather than hedging, while aligning individual success with the…
Lenny’s Podcast131 min

Boris Cherny

Boris Cherny · Feb 19, 2026
Key learnings
  • Ship with minimal scaffolding and let the model choose tools and order of operations, rather than boxing it into rigid workflows…
  • Watch how people hack your product for purposes it wasn't designed for; that latent demand, like data scientists using a terminal…
  • Bet on the more general model over time instead of fine-tuning or tiny models, since scaffolding gains of 10-20% often vanish…
Lenny’s Podcast98 min

Sequoia CEO coach: Why it’s never been easier to start a company, and never been harder to scale one

Brian Halligan · Feb 15, 2026
Key learnings
  • Overrate less your gut feeling in interviews; rely on blind references and ask pointed questions like how likely you would be to…
  • Prefer spiky candidates with visible weaknesses who will challenge you over polished candidates with the fewest weaknesses, and…
  • Be cautious hiring executives straight from big companies; they often have mismatched expectations and high attrition in scaling…
Lenny’s Podcast105 min

Sherwin Wu V2

Sherwin Wu V2 · Feb 12, 2026
Key learnings
  • Build for where models are going rather than where they are today, since products that are almost-working now can become…
  • Treat fast-changing AI scaffolding skeptically: models often absorb tooling like vector stores and agent frameworks, so avoid…
  • Don't blindly follow customer feature requests in AI; customers may anchor on local maxima while the underlying models are…
Lenny’s Podcast123 min

The rise of the professional vibe coder (a new AI-era job)

Lazar Jovanovic · Feb 8, 2026
Key learnings
  • Start a project with several parallel attempts (brain dump, typed prompt, design reference, code template) to find the strongest…
  • Spend most of your time planning and chatting with the AI rather than executing, since clarity matters more than raw build speed.
  • Write a set of source-of-truth docs (master plan, implementation plan, design guidelines, user journeys, tasks.md) so the agent…
Lenny’s Podcast131 min

A child psychologist’s guide to working with difficult adults

Dr. Becky Kennedy · Feb 1, 2026
Key learnings
  • Repair after a mistake, by owning your part and naming what you'll do differently, rebuilds trust; perfection is not the goal…
  • Connect before correcting: join the other person's world first without an agenda, since connection builds the bridge that makes…
  • Separate behavior from identity by assuming someone is good inside, which keeps conversations productive and makes defensiveness…
Lenny’s Podcast153 min

Marc Andreessen: The real AI boom hasn’t even started yet

Marc Andreessen · Jan 29, 2026
Key learnings
  • Expect AI to make already-skilled people far more capable; the gains are largest for those who pair deep expertise with AI tools.
  • Rather than fearing job loss, focus on task loss: jobs persist while the individual tasks composing them shift, which is how…
  • Combine at least two or three domains deeply (e.g., coding, product, design); the combination of skills creates far more value…
Lenny’s Podcast145 min

5 questions to ask when your product stops growing

Jason Cohen · Jan 25, 2026
Key learnings
  • Compute your growth ceiling: new customers added per month divided by monthly cancellation rate gives the maximum customer count…
  • Ask 'what made you cancel?' rather than 'why did you cancel?' and use open-ended responses, since multiple-choice lists skew…
  • Be skeptical of 'too expensive' as a cancellation reason; customers who already bought didn't find the price too high, so dig…
Lenny’s Podcast100 min

The non-technical PM’s guide to building with Cursor

Zevi Arnovitz · Jan 18, 2026
Key learnings
  • Start slowly with a ChatGPT project acting as a skeptical 'CTO' before moving to coding tools, gradually easing into code to…
  • Capture ideas quickly as Linear issues using reusable slash commands, so you can pick them up later with context already gathered.
  • Separate the workflow into explore, plan, execute, review, and document phases, and have the AI ask clarifying questions before…
Lenny’s Podcast129 min

How to show up in any room with a low heart rate: Silicon Valley’s missing etiquette playbook

Sam Lessin · Jan 15, 2026
Key learnings
  • Aim to enter a room with a low heart rate and an abundance mindset rather than scarcity, since the conversation is a…
  • Arrive a little early, roughly 10 to 15 minutes, and never make a late guest feel bad; a simple apology is enough.
  • When you forget someone's name, introduce your partner first and let the moment hang so the other person picks up the name, or…
Lenny’s Podcast117 min

The power user’s guide to Codex: parallelizing workflows, planning techniques, advanced context engineering tips, automating code reviews, and more

Alexander Embiricos · Jan 12, 2026
Key learnings
  • Ship a product to a small group first, then learn empirically from usage rather than over-planning, especially in fast-moving AI…
  • Onboard users into agentic tools by first working alongside them in the local IDE or terminal, then gradually configure…
  • Give AI coding tools your hardest real tasks rather than trivial ones, and build trust by having the agent first understand the…
Lenny’s Podcast110 min

Aishwarya Naresh Reganti + Kiriti Badam

Aishwarya Naresh Reganti + Kiriti Badam · Jan 11, 2026
Key learnings
  • AI products differ from traditional software mainly because user inputs and model outputs are both non-deterministic, so behavior…
  • Each time you grant an AI system more decision-making autonomy, you give up some human control; autonomy should be earned through…
  • Start with low-agency, high-human-control versions (e.g., suggestions to human agents) and log human corrections to build a…
Lenny’s Podcast120 min

The high-growth handbook: Molly Graham’s frameworks for leading through chaos, change, and scale

Molly Graham · Jan 4, 2026
Key learnings
  • Keep handing off the work you've mastered so you can take on the next, bigger challenge; the job keeps growing, so you must keep…
  • Name and externalize the emotional reactions to change, then give them about two weeks; anything lasting longer deserves a real…
  • When a team struggles, snorkel before you scuba: check structure (goals, roles, expectations) and team dynamics before blaming…
Lenny’s Podcast175 min

We replaced our sales team with 20 AI agents—here’s what happened

Jason M Lemkin · Jan 1, 2026
Key learnings
  • Don't abandon a sales motion to chase pure product-led growth if customers need help to buy; many self-serve startups later need…
  • Founders can close the first 10 customers themselves because they excel at the middle of conversations; focus on asking for next…
  • Start hiring sales reps once founders spend about 20% of their time in sales and 20% recruiting; hire at least two reps so you…
Lenny’s Podcast123 min

10 contrarian leadership truths every leader needs to hear

Matt MacInnis · Dec 28, 2025
Key learnings
  • Extraordinary outcomes require extraordinary effort; if people feel comfortable at work, something has gone wrong, and leaders…
  • Deliberately understaff projects, since overstaffing invites politics and pulls people onto low-priority work before it is clear…
  • Withholding feedback is selfish because it optimizes for your own comfort; escalate issues in public and give direct feedback…
Lenny’s Podcast117 min

Elena Verna 4.0

Elena Verna 4.0 · Dec 18, 2025
Key learnings
  • Expect most of your classic growth playbook to transfer poorly in fast-moving AI categories; Elena estimates only 30-40% of her…
  • Build in public: pair regular product shipping with founder-led and employee social posts so the market sees constant change and…
  • Give the product away generously, including credits for hackathons and events, since removing the barrier to trying an AI product…
Lenny’s Podcast97 min

The 100-person AI lab that became Anthropic and Google's secret weapon

Edwin Chen · Dec 7, 2025
Key learnings
  • Define quality in rich, specific terms for each domain (e.g., what makes a poem Nobel-worthy, not just whether it has eight…
  • Gather thousands of signals on each worker and task, from background and expertise to performance, and use them like an ML…
  • Don't trust benchmarks at face value: many contain wrong answers, and optimizing for them can make models worse at messy…
Lenny’s Podcast88 min

Why LinkedIn is turning PMs into AI-powered "full stack builders”

Tomer Cohen · Dec 4, 2025
Key learnings
  • Prioritize clarity over being right: align the team on the problem and direction even if the bet might be wrong, since confusion…
  • Test whether a disagreement is real or just a misunderstanding by asking people to restate your point in their own words before…
  • Make sure stated priorities match resourcing; if your top initiative lacks your best engineers, the priority is not real.
Lenny’s Podcast100 min

What world-class GTM looks like in 2026

Jeanne Grosser · Nov 30, 2025
Key learnings
  • Treat go-to-market as an integrated lifecycle spanning marketing, sales, customer success, and support, mapping the jobs to be…
  • Expect the buyer experience of being sold to to become a differentiator, so design the sales journey as a distinctive, valuable…
  • Frame value around avoiding pain and reducing risk, since many buyers purchase to avoid downside rather than chase upside…
Lenny’s Podcast133 min

A guide to difficult conversations, building high-trust teams, and designing a life you love

Rachel Lockett · Nov 23, 2025
Key learnings
  • Coach instead of advising when the person has the context and skills to solve their own problem; advise only when urgency is high…
  • Practice three levels of listening, especially level-three global listening that attends to emotions, body language, and context…
  • Use the GROW model (goal, reality, options, way forward) as a flexible set of powerful questions to unlock someone's own solution.
Lenny’s Podcast109 min

Slack founder: Mental models for building products people love ft. Stewart Butterfield

Stewart Butterfield · Nov 20, 2025
Key learnings
  • Plot features on a utility curve to see whether extra investment is still on the steep part of the value gain or has reached…
  • Judge a product by whether users understand what it does; in many places the real challenge is comprehension, not friction, so…
  • Cultivate taste deliberately: taste can be trained, and leaning into craft can become a competitive advantage that less-attentive…
Lenny’s Podcast78 min

The Godmother of AI on jobs, robots & why world models are next

Dr. Fei Fei Li · Nov 16, 2025
Key learnings
  • Large labeled datasets were the missing ingredient that unlocked modern AI; big data, neural networks, and GPUs together formed…
  • Pursue a north-star problem and commit to it for years, as ImageNet's object recognition focus did for her lab.
  • Be willing to take intellectual and career risks, such as leaving tenure track or joining new ventures, when the mission and…
Lenny’s Podcast164 min

“Dumbest idea I’ve heard” to $100M ARR: Inside the rise of Gamma

Grant Lee · Nov 13, 2025
Key learnings
  • Treat product-market fit as a real word-of-mouth engine: if over half of new signups come from organic sharing, the core growth…
  • Make the first 30 seconds of the product magical, focusing on one clear 'egg' of value rather than many features, so new users…
  • Practice founder-led marketing: write provocative but useful posts, share learnings regularly, and build credibility by giving…
Lenny’s Podcast97 min

"Sell the alpha, not the feature": The enterprise sales playbook for $1M to $10M ARR

Jen Abel · Nov 9, 2025
Key learnings
  • Founder-led sales is a competitive advantage because founders are the visionary and can spot budding insights that salespeople…
  • Write cold outreach that leads with relevance, a counterintuitive insight, and the problem rather than the solution, kept to…
  • Before buying tools, manually find and write thoughtful notes to about 30 prospects; use the response pattern to refine messaging…
Lenny’s Podcast100 min

How Block is becoming the most AI-native enterprise in the world

Dhanji R. Prasanna · Oct 26, 2025
Key learnings
  • Track AI impact with self-reported time savings plus validation metrics such as PR throughput and feature delivery, which Block…
  • Expect the current AI value baseline to keep rising; adopt tools continuously and re-evaluate where they add value as…
  • Non-technical staff building their own small internal tools with agents can compress weeks of waiting on engineering queues into…
Lenny’s Podcast102 min

Al Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix)

Chip Huyen · Oct 23, 2025
Key learnings
  • Focus on what actually improves AI apps, such as talking to users, improving data, writing better prompts, and optimizing…
  • Be cautious about committing to newly released technologies that have not been widely tested, since switching away from them…
  • Fine-tuning and post-training can shape model behavior a lot, and many teams now focus effort there because base pre-training…
Lenny’s Podcast95 min

How to measure AI developer productivity in 2025

Nicole Forsgren · Oct 19, 2025
Key learnings
  • Before measuring anything, get crisp on the problem or goal, since teams often interpret vague mandates like 'improve developer…
  • Shipping smaller changes more often tends to improve both speed and stability together, because small batches have smaller blast…
  • DORA's four metrics (deployment frequency, lead time, time to restore, change fail rate) give a benchmark-style view of where you…
Lenny’s Podcast118 min

Inside Google's AI turnaround: The rise of AI Mode, strategy behind AI Overviews, and their vision for AI-powered search

Robby Stein · Oct 10, 2025
Key learnings
  • Search demand is expanding rather than dying: AI lets people ask more and harder questions, so growth comes from new query types…
  • Build a product from a real user problem and stay dissatisfied with the status quo; keep making it better until it tips into…
  • Use a J-curve retention analysis (day 7, 30, 90) to tell whether a product is flattening into real usage or steadily losing users.
Lenny’s Podcast110 min

First interview with Scale AI’s CEO: $14B Meta deal, what’s working in enterprise AI, and what frontier labs are building next

Jason Droege · Oct 9, 2025
Key learnings
  • Model improvement now relies heavily on experts (80% of Scale's expert network holds a bachelor's or higher) defining what good…
  • Enterprise AI pilots that reach 60-70% accuracy feel close, but robust automation of important processes often takes 6-12 months…
  • Validate a new business by checking whether it can sustain high gross margins and whether competitors can match the economics in…
Lenny’s Podcast115 min

How to find hidden growth opportunities in your product

Albert Cheng · Oct 5, 2025
Key learnings
  • Alternate between exploring for new insights and exploiting proven wins; when experiments stop reaching significance, return to…
  • Share experiment learnings across the company so adjacent teams can apply the same human-psychology insight to their own parts of…
  • Make a free tier a taste of the full product's value rather than a stripped-down version; sampling paid suggestions to free users…