Lenny's Podcast
Product, growth and career lessons from world-class operators. 214 Lenny's Podcast episodes on product and growth, each as notes you can zoom: the bottom line, key takeaways and every chapter, linked to the moment in the video.
Ask all of them a question · The course
October 20263
Lenny's Podcast · Oct 25An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull)
Rob Snyder lays out the PULL framework (Project, Unavoidable, List of options, Limitations) as a step-by-step method for finding product-market fit, from picking an idea to cold outreach, sales calls, closing and retention. He has used it with 50+ startups going from zero to over $1M in ARR, after spending two years pushing a product the market did not want in his own startup.
- Test for pull by filling in the four PULL elements
- Find the person with pull, not the company
- Generate ideas by doing the customer's job firsthand
Lenny's Podcast · Oct 11Why every company now needs to think and operate like a lab team | Josh Woodward (VP Google Labs)
Every company needs a lab-style team that tracks what AI has just made possible, tests ideas fast and knows when to kill them. Woodward runs Google's longest-running labs team, behind NotebookLM, Flow and Project Genie, and shares how it finds ideas, spots product-market fit, sets team size and keeps a lab from fizzling.
- Keep a running list of what is almost possible and watch it
- Read people's eyes when showing early prototypes, not dashboards
- Fall in love with the problem, not the product solution
Lenny's Podcast · Oct 4OpenAI’s Head of ChatGPT: We’re entering a new era of AI (again) | Tibo Sottiaux
Tibo Sottiaux explains how OpenAI is moving from chat and coding tools toward an always-on personal agent (Dots), and what that means for how products, plugins and teams should be built. He shares concrete practices on plugin discovery, bottoms-up shipping, agent-ready products and safety spending, drawn from a day when his team launched more than 20 products.
- Build your product for agent traffic, not only human users
- Earn plugin recommendations by driving retention and real utility
- Share revenue with popular plugins and sign-in partners
September 20267
Lenny's Podcast · Sep 29Why Claude can’t be your PM (yet) | Anthropic CPO Panel
Anthropic's product leaders explain why the PM role still matters when models change every two months: judgment, relentlessness, convening people and staying close to human problems. They also cover agent-native and malleable software, running parallel bets, and parking projects until a new model makes them work.
- Build primitives so agents can do everything a human can
- Take many shots on goal, then consolidate once you hit product market fit
- Park projects the model cannot do yet and retest on every new model
Lenny's Podcast · Sep 29Stop planning for 2027: how OpenAI builds product 90 days at a time | Tara Sesha and Nan Yu (OpenAI)
OpenAI's product leaders explain how they build AI products when models change every few months: ship imperfect features fast, aim 2 to 3 months ahead, and finish the last mile of a task. The payoff is a practical set of rules for working with research, designing agents people can follow, and staying close to users.
- Plan product bets about two to three months ahead of the models
- Set your planning cadence by how fast your market moves
- Ship imperfect features and learn from real users instead of theorizing
Lenny's Podcast · Sep 25Marty Cagan: Strong Opinions, loosely held
Marty Cagan lists ten regrets about his product advice, covering business viability, problem versus solution discovery, predictability, politics and product leadership. The lesson is that AI makes building cheaper but makes clear thinking, outcomes and discovery matter more than ever.
- Treat business viability as a full product risk alongside value, usability and feasibility
- Spend little time on problem discovery and save most of it for solution discovery
- Ask why people are not using your product, not just why you build it
Lenny's Podcast · Sep 24Everyone’s shipping more. Does any of it matter? | Claire Vo
When AI makes building cheap, the bottleneck shifts from engineering capacity to conviction about what is worth building, and feature roadmaps lead teams into backlog, parity and churn traps. Claire Vo shows how she built a full product graph feature that she felt belonged in the trash, and offers a conviction-and-evidence model to replace the roadmap.
- Replace the feature roadmap with convictions and the evidence that would prove them
- Avoid the backlog trap: clearing requests is not progress against the business
- Avoid the parity trap of building the same obvious product as competitors
Lenny's Podcast · Sep 2090 minutes of unfiltered product advice from Snap and Discord’s product chief | Peter Sellis
Peter Sellis explains how he designs product teams around a shared ideology and clear decision ownership, and why growth almost always comes from the core product. His results include a multi-year growth renaissance at Snap after a 2018 stall and some of Discord's fastest growth since the pandemic.
- Grow by lifting engagement of existing core users, not chasing new ones
- Fix the friction around your core use case even at 100% penetration
- Define core product value as a phrase plus metrics tied to daily return
Lenny's Podcast · Sep 8How we built Grok Bot in a month | Roman Ugarte (SpaceXAI)
A small, isolated team built Grok Bot, a cloud-first knowledge-work agent, from the first line of code to an internal product in about a month, then to public launch three weeks later. The episode covers the product decisions behind it (starting fresh, cloud computers per bot, hiding mechanics, unshipping) and a 'colleague-pilled' way of making product calls.
- Start a new product from scratch instead of bolting it onto your existing one
- Run every agent in the cloud so users never think about local versus cloud
- Give each AI agent its own computer instead of sharing yours
Lenny's Podcast · Sep 6Why companies are becoming a series of loops | Anish Acharya (a16z)
Anish Acharya explains how companies will be built as cascading loops of agents with humans choosing the next hill to climb, and where the consumer AI opportunity sits. He also covers why moats are discovered, why pricing and ambition should go higher, and why building something every week is the best way to build intuition.
- Turn each business function into an agent loop with human checkpoints
- Use humans to pick the next hill after the loop plateaus
- When an agent gets stuck, have it call a human and learn
August 20263
Lenny's Podcast · Aug 30AI’s third era: the rise of persistent AI coworkers | Tara Seshan (OpenAI’s product lead)
Product building at a frontier lab rewards fast empirical testing, ambition and human steering over long strategy docs, with agents moving from chat to persistent coworkers. Tara explains how OpenAI builds for models two to three months out and how she keeps her own thinking sharp while using AI heavily.
- Build for where models will be in two to three months
- Replace long strategy docs with a sharp hypothesis and a fast test
- Share mocks, prototypes and test results instead of long docs
Lenny's Podcast · Aug 16Chatbots are not the final interface: OpenAI’s Head of Design on what’s next | Ian Silber
Ian Silber explains how OpenAI designs ChatGPT and Codex when the technology changes monthly: pick which features to polish, design for a huge spread of users, and stay curious and adaptable. He argues designers are more empowered than ever, with human judgment about user needs, invention and point of view as the lasting edge.
- Obsess over durable features, move fast on everything else
- Serve a simple default to most users, and put advanced features elsewhere
- Do less: reuse existing systems before designing something new
Lenny's Podcast · Aug 2This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)
Whatnot runs about 20 PMs on a premise that product management should only be deployed where a specific need exists, with senior people staying hands-on in IC work instead of managing layers. The episode lays out how that model works in practice, how Whatnot hires PMs (31,832 applied in two years, one was hired), and how AI changes the work.
- Hire PMs for a specific need, not by default ratio
- Let senior product leaders stay 90 percent IC, not managers
- Give one PM both sides of a conflicting trade-off
July 20262
Lenny's Podcast · Jul 26Why AI is going vertical (again) | Dianne Penn (Anthropic)
Anthropic's first technical PM explains how her team turns vague user feedback into evals, incubates discontinuous bets in Labs, and builds products that stay useful as models improve. The episode shows how a team of five product engineers grew into a leader in coding and agents by spotting early use cases like long-form code and pairing frontier models with frontier products like Claude Code.
- Turn vague user feedback into a small, reproducible eval set
- Treat evals as the new PRDs for model-driven product work
- Read failed transcripts closely to find the real failure theme
Lenny's Podcast · Jul 9The rise of taste, human authenticity and judgment in an AI world | Adam Mosseri (Head of IG)
Instagram's head explains how Meta is shrinking product teams into lean pods with generalist product staff, why taste, strategy and curation stay human, and how Instagram thinks about ranking, AI content and creators. He also shares hard lessons from two big failures, Facebook Home and the first version of Reels, and from public backlash over a feed test.
- Replace baker's-dozen teams with pods of four to six generalist engineers
- Create a product staff role that blends PM, design, data and research
- Spend your freed-up time deciding what to build, not just building
June 20264
Lenny's Podcast · Jun 28Why OpenAI is merging Codex and ChatGPT and the future of knowledge work | Andrew Ambrosino
Cheap implementation has flipped product work: anyone can build anything, so curation, taste and picking the right medium matter most. The Codex team's habits (dogfooding, zone-defense PMs, hazy long-range plans, re-releasing features as models improve) helped usage grow 6x since January to over 5 million weekly users, with nearly 100% of OpenAI employees using it weekly.
- Pick documents or prototypes based on the point you need to make
- Label every prototype with its stage so polish isn't read as readiness
- Build a baby version of your product for design exploration
Lenny's Podcast · Jun 21What happens after coding is solved? | Fiona Fung (Claude Code & Cowork)
Fiona Fung explains how the Claude Code and Cowork teams work when coding is no longer the bottleneck: using Claude to review team output, automating verification, giving high agency with high accountability, and planning just in time. Anthropic engineers now ship 8x as much code per quarter as in 2025, and her team is rethinking roles, quality, hiring and planning to keep up.
- Keep a Claude session on every repo to review team output
- Check what good looks like into the repo for automated review
- Replace daily manual feedback triage with a routine that drafts PRs
Lenny's Podcast · Jun 14The hidden pattern behind successful products | Mark Pincus (FarmVille, Words with Friends, & more)
Mark Pincus explains his Proven, Better, New framework for product ideas, why starting small beats starting ambitious, and why founders should kill hope early by testing many cheap ideas. At Zynga, eight of 10 major game launches became massive hits, and he credits retention and an obsessive product process over virality.
- Copy what is proven on your exact platform before innovating
- Make your improvement one that 10 out of 10 users would say yes to
- Treat your new idea as probably wrong and queue several more
Lenny's Podcast · Jun 7Tony Fadell: How to build real taste (and why AI makes it matter more)
Tony Fadell explains how to make taste-driven product decisions for a 1.0, why marketing and the full customer journey define a product, and why AI-generated code and cognitive surrender are risks for builders. He backs it with first-hand stories from the iPod, iPhone and Nest, where each product needed about three generations to work.
- Start from a real pain, then pair it with new technology
- Plan for three generations: make it, fix it, then fix the business
- Put a small group of tastemakers in charge of 1.0 decisions
May 20261
April 20264
Lenny's Podcast · Apr 26How to win when software is not a moat | Evan Spiegel (Snapchat CEO)
Evan Spiegel explains why software features are easy to copy, so durable consumer businesses need distribution, ecosystems and hard-to-clone assets, and how a tiny design team with a high weekly output keeps Snap inventing. Snapchat has nearly 1 billion monthly users and about $6 billion in revenue, and the episode shows the product, hiring and AI practices behind it.
- Treat distribution as a first-class problem, not an afterthought to product-market fit
- Grow a social product through close friends, not the biggest possible network
- Assume software features will be cloned and build ecosystems and hardware moats
Lenny's Podcast · Apr 23How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)
Cat Wu explains how Anthropic's Claude Code team cut feature timelines from months to weeks or days through research previews, tight launch processes, team principles and engineers with product taste. She also covers how to elicit the most from the current model, why to build products that don't fully work yet, and how PMs should use Cowork and Claude Code.
- Ship features as labeled research previews to cut commitment and speed
- Set up an evergreen launch room so any engineer can ship fast
- Define one key user, one problem and one use case per feature
Lenny's Podcast · Apr 12Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)
Keith Rabois explains how to build a world-class team by hiring barrels (people who can drive an initiative from start to finish), finding undiscovered talent, and pushing harder when things go well. He also argues that PMs as intermediaries are fading, customer feedback misleads consumer products, and the best startups show unusual speed.
- Hire barrels before you hire more ammunition
- Test for a barrel by handing over an outcome and watching
- Build the company on undiscovered talent, not what everyone wants
Lenny's Podcast · Apr 5Head of Growth (Anthropic): Anthropic is automating its own growth
Anthropic's head of growth explains how a growth team operates at a company going from $1 billion to over $19 billion ARR in 14 months, covering activation in AI products, the right kind of friction, big bets over micro-optimizations, and automating growth experiments with Claude. He also covers how PM, engineering and design roles are shifting, and how he uses Claude for data review, alignment checks and coaching.
- Add friction that helps users see why the product is for them
- Use onboarding answers for lifecycle messaging and lookalike ad targeting
- Spend a quarter fixing onboarding quality instead of chasing conversion metrics
March 20261
February 20262
Lenny's Podcast · Feb 19Head of Claude Code: What happens after coding is solved | Boris Cherny
Boris Cherny explains the product and team principles behind Claude Code: latent demand, building for the model six months out, under-resourcing teams, and giving engineers unlimited tokens. The result is a tool that went from a terminal hack to 4% of public GitHub commits, with 100% of his own code now written by Claude.
- Watch how users misuse your product and build for that
- Build for the model six months from now, not today
- Give the model tools and a goal, not a rigid workflow
Lenny's Podcast · Feb 8The rise of the professional vibe coder (a new AI-era job)
A non-technical, full-time vibe coder at Lovable explains the workflow he uses to ship production-quality internal and customer-facing products with AI: parallel prototypes, a PRD and markdown file system, and a four-step debugging routine. He was hired after building in public, and he argues that clarity, taste and judgment now matter more than coding skill.
- Spend 80% of your time planning and chatting, 20% executing
- Start every project by building four or five prototypes in parallel
- Give the AI code snippets, not descriptions, for pixel-perfect design
January 20264
Lenny's Podcast · Jan 25The surprising advice from a founder who built 2 unicorns | Jason Cohen (WP Engine)
A five-step diagnostic for stalled growth, in order: logo churn, pricing and positioning, net revenue retention, saturated marketing channels, and whether you need to grow at all. It matters because small fixes at the first broken step beat tuning later steps, and one repositioning example raised price 8x for the same product.
- Compute your maximum customer ceiling: new customers per month divided by churn rate
- Ask cancelling customers "what made you cancel" in an open-ended email
- Do not trust multiple-choice cancellation reasons; randomize them or drop them
Lenny's Podcast · Jan 18How a Meta PM ships products without ever writing code | Zevi Arnovitz
A non-technical PM shows his full workflow for shipping real products in Cursor with Claude Code, built on reusable slash commands, a written plan, and cross-model code review. The payoff is a working, revenue-making side app built without writing code, plus a method engineers at Meta ask him to teach.
- Have different AI models review each other's code with a peer review command
- Run a postmortem after every AI mistake and update the tooling
- Split work into explore, plan, execute, review, peer review, and document commands
Lenny's Podcast · Jan 11Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon
AI products differ from regular software because they are non-deterministic and force a trade-off between agency and control, so they should be built in stages that start with high human control. Drawn from over 50 enterprise AI deployments, the episode gives a continuous calibration, continuous development loop, advice on evals versus production monitoring, and patterns that separate teams that ship working AI from those that hot-fix failing agents.
- Start AI products with low agency and high human control
- Plan for non-deterministic inputs and outputs, not just one side
- Treat agency and control as a trade-off you raise gradually
Lenny's Podcast · Jan 1We replaced our sales team with 20 AI agents—here’s what happened next | Jason Lemkin (SaaStr)
Jason Lemkin explains how SaaStr replaced a go-to-market team of about 10 people with 1.2 humans and 20 AI agents, and what it took to train, manage and choose vendors for them. The result is similar sales output to the old human team, plus a clear picture of which sales roles survive and how to become hyper-employable.
- Deploy one AI agent yourself, end to end, to become hyper-employable
- Train the agent on your best salesperson's emails, then let it A/B test
- Choose agent vendors by who will help you deploy, not just features
December 20253
Lenny's Podcast · Dec 18The new AI growth playbook for 2026 | How Lovable hit $200M ARR in one year
Lovable's head of growth explains how the growth playbook changes for fast-moving AI companies: spend most effort on innovation, ship constantly, give the product away, and rebuild product-market fit every three months. Lovable passed $200M ARR in under a year with about 100 people, mostly through word of mouth, founder socials, influencers and free credits rather than paid ads or sales.
- Give your AI product away free and book it as marketing
- Spend most growth effort on innovation, not optimization
- Ship something talkable every day and announce it constantly
Lenny's Podcast · Dec 14Inside OpenAI: 2026 is the year of agents, AI’s biggest bottleneck, and why compute isn’t the issue
The episode explains how OpenAI built Codex into a coding agent that is becoming a software engineering teammate, and what product choices drove its growth. Codex grew 20x since August, serves trillions of tokens a week, and helped a few engineers ship the Sora Android app in 28 days.
- Land new users in a familiar IDE or CLI before async delegation
- Don't over-trust internal dogfooding when your team is far ahead of users
- Check early retention and re-sign up as a new user regularly
Lenny's Podcast · Dec 4Why AI is disrupting traditional product management | Tomer Cohen (LinkedIn CPO)
LinkedIn is replacing the traditional PM, design and engineering split with a Full Stack Builder model built on three pillars: a re-architected platform, custom internal agents, and culture. The episode shows how to build customized agents, curate their data, and drive adoption through incentives, pilots and performance reviews.
- Build custom internal agents because off-the-shelf tools never work on enterprise code
- Feed agents curated golden examples, not your whole knowledge base
- Build specialist agents that critique specs, owned by each area's craft head
November 20255
Lenny's Podcast · Nov 30What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google)
Jeanne DeWitt Grosser explains how to run go-to-market like a product, from AI agents built by GTM engineers to segmentation, discovery and pricing. At Vercel, a lead agent costing about $1,000 a year let one SDR do the inbound work of ten while holding lead-to-opportunity conversion flat.
- Build a GTM engineer agent to replace repetitive inbound SDR work
- Start agent automation with the most legible, repeatable workflow
- Run a deal bot over every call, email and Slack thread
Lenny's Podcast · Nov 20Mental models for building products people love ft. Stewart Butterfield
Butterfield shares the mental models behind Slack's product and leadership: utility curves, comprehension over friction, tilting your umbrella, hyper-realistic work-like activities and the owner's delusion. The conversation shows how small acts of craft and empathy compounded into a product people evangelized and sold for one of tech's biggest acquisitions.
- Reduce how much users must think, not clicks or friction
- Fix comprehension before friction for anything unique to your product
- Judge each feature by where it sits on its utility curve
Lenny's Podcast · Nov 13“Dumbest idea I’ve heard” to $100M ARR: Inside the rise of Gamma | Grant Lee (co-founder)
Gamma's CEO explains how a small, profitable team found product-market fit by rebuilding the first 30 seconds of onboarding, then grew through word of mouth, micro-influencers and fast prototype testing. The result is over $100M ARR in just over two years with about 30 people and a valuation above $2 billion.
- Rebuild onboarding so the first 30 seconds feel magical
- Build a word of mouth machine before spending on paid ads
- Keep paid acquisition under 50% of new users
Lenny's Podcast · Nov 9$1M to $10M: The enterprise sales playbook with Jen Abel
Enterprise sales is a different game from small business sales, and getting from $1M to $10M ARR means pricing near $100K, targeting tier-one logos, selling vision instead of problems, and hiring founder-like sellers. Abel explains why a $10K-$20K price traps startups and how to craft deals and run outbound by hand.
- Pick enterprise or small business and never blend the two games
- Land your first enterprise contract between $75K and $150K
- Never price an enterprise customer like a small business account
Lenny's Podcast · Nov 2She turned 100+ rejections into a $42B company | Melanie Perkins
Canva's CEO explains how she plans from a dream future backwards ("column B"), turns big goals into steps and celebrations, and used 100+ investor rejections to sharpen her pitch. The result is a company valued at over $42 billion, with over $3.3 billion in annual revenue and 8 years of profitability.
- Treat every investor rejection as feedback and add a pitch slide
- Open your pitch with the problem, not the solution
- Plan from a dream future backwards, not from the bricks you have
October 20254
Lenny's Podcast · Oct 23Al Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix)
Chip Huyen explains pre-training, post-training, RL, evals and RAG in plain terms, then shares what she sees inside enterprises building AI products. The worth-hearing result: better data preparation, user feedback and system thinking improve AI apps far more than chasing new models, frameworks or vector databases.
- Invest in RAG data preparation before agonizing over vector database choice
- Add summaries, metadata and hypothetical questions to every RAG chunk
- Rewrite source content into question and answer pairs for retrieval
Lenny's Podcast · Oct 16Figma’s CEO: Why AI makes design, craft, and quality the new moat for startups | Dylan Field
Figma's CEO explains how the company kept pace after the failed $20 billion Adobe deal, how it picks new product lines by following the workflow, and why design, craft and taste now decide who wins in software. The result: Figma moved from one product to many and reached an IPO in 2025 by treating time to value, blockers and quality as core priorities.
- Staff a dedicated blockers team to remove adoption obstacles one by one
- Get new users to a special product moment as fast as possible
- Expand your platform by following the user workflow, not the biggest market
Lenny's Podcast · Oct 10Inside Google's AI turnaround: AI Mode, AI Overviews, and vision for AI-powered search | Robby Stein
Google Search's VP of Product explains how AI Mode went from a 5 to 10 person prototype to a launched product in about a year, and why AI is expanding search rather than replacing it. He also shares the product principles behind Instagram Stories and Close Friends, including how Close Friends went from flop to hit over two to three years.
- Fix a failing feature by diagnosing the root cause in the data
- Study why people hired your product, including the emotional job
- Ask users what stops them from using a feature, and commit to the common answer
Lenny's Podcast · Oct 5Finding hidden growth opportunities in your product | Albert Cheng (Duolingo, Grammarly, Chess.com)
Teaches how to find and scale growth wins by alternating between exploring new insights and exploiting proven ones, with examples from Duolingo, Grammarly and Chess.com. Worth hearing for concrete results: Grammarly's upgrade rate nearly doubled from sampling paid features for free users, and Chess.com's game review change lifted subscriptions 20%.
- Show free users a limited taste of your paid features
- Spread each winning insight across every part of the product
- Alternate between exploring insights and exploiting them
September 20254
Lenny's Podcast · Sep 28A 4-step framework for building delightful products | Nesrine Changuel (Spotify, Google, Skype)
Delight means serving emotional and functional needs in the same feature, and Nesrine Changuel lays out a 4-step model, a delight grid and a 50-40-10 roadmap rule to do it without wasting time on confetti. Real examples from Chrome inactive tabs, Google Meet's self-view minimizing and Spotify's Discover Weekly bug show how emotional insight turned into features that moved users.
- Build features that solve a functional and an emotional need together
- Segment users by motivation, listing functional and emotional motivators
- Sort roadmap items on a delight grid: low, surface or deep
Lenny's Podcast · Sep 25Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar
A step-by-step method for building AI evals: read real traces, write open codes, group them into failure modes, count them, then build narrow binary LLM judges validated against human labels. The method has been taught to over 2,000 PMs and engineers, takes about a week up front and then roughly 30 minutes per week.
- Read around 100 real traces and write a note on each
- Note only the most upstream error in each trace
- Do open coding by hand; do not hand it to an LLM
Lenny's Podcast · Sep 18Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody
Brendan Foody explains why evals are the main bottleneck for AI progress and how Mercor built a marketplace of expert professionals who write them for AI labs. Mercor went from $1M to $400M in run rate in 16 months with no sales or marketing staff, which makes the founding and culture lessons worth hearing.
- Build a systematic test of how well AI automates your core value chain
- Treat your eval as the product requirements document for the model
- Use evals as sales collateral to demonstrate real capabilities
Lenny's Podcast · Sep 14The ultimate guide to AEO: How to get ChatGPT to recommend your product | Ethan Smith (Graphite)
Answer engine optimization (AEO) is how a product gets mentioned in ChatGPT, Claude, Gemini and Perplexity answers, and it works like SEO plus citation building and long-tail question coverage. Webflow saw LLM traffic convert 6x better than Google search and now gets 8% of signups from LLMs, and early-stage startups can win in days rather than years.
- Get mentioned in as many citations as possible, not just ranked first
- Post on Reddit as a real person, naming yourself and employer
- Make YouTube and Vimeo videos for unglamorous, high-LTV B2B questions
August 20255
Lenny's Podcast · Aug 31How we restructured Airtable's entire org for AI | Howie Liu (co-founder and CEO)
Howie Liu explains how Airtable reorganized around AI: a fast thinking team that ships weekly and a slow thinking team for deep infrastructure, with the CEO working as an individual contributor. Airtable reached over $100 million in free cash flow while rebuilding its product around an agent-first experience.
- Split the org into fast thinking and slow thinking groups
- Ask how you would found the company today, AI native
- Let agents assemble reliable primitives instead of generating everything from code
Lenny's Podcast · Aug 28How 80,000 companies build with AI: Products as organisms and the death of org charts | Asha Sharma
Asha Sharma explains how AI products are shifting from static artifacts to learning loops, and how teams, planning and org structure need to change with them. She draws on Microsoft's view of 15,000 customers building agents, including a physician-note product that went from a 30 to 60 percent acceptance rate to 83 percent after expert-annotated fine-tuning.
- Fine-tune models on expert-annotated real data, not only synthetic data
- Adapt and post-train an existing model instead of building your own
- Run a full optimization loop: reward design, rollout, rigorous A/B test, target use case
Lenny's Podcast · Aug 21How Intercom rose from the ashes by betting everything on AI | Eoghan McCabe (founder and CEO)
Intercom's CEO explains how a late-stage SaaS company with stalled growth rebuilt itself around an AI agent, Fin, through a narrower strategy, outcome-based pricing and a hard culture reset. Fin grew from 1 to 12 million ARR in its first year and is growing north of 300%, heading past 100 million ARR in under three quarters.
- Price AI agents per outcome, not per seat
- Set price from customer value, not from your costs
- Price digital work below human work to keep it palatable
Lenny's Podcast · Aug 17Why ChatGPT will be the next big growth channel (and how to capitalize on it) | Brian Balfour
Platform shifts follow a four-step cycle (competition, moat, open platform, closed platform), and ChatGPT looks set to enter the open third-party platform step within about six months. The episode explains how to pick a platform bet, how to plan your exit before the platform closes, and how companies that set hard constraints are getting real AI adoption.
- Learn the four-step platform cycle before betting on any new distribution channel
- Integrate with the emerging AI platform early instead of opting out
- Startups should make one focused platform bet; late-stage companies can spread chips
Lenny's Podcast · Aug 9Inside ChatGPT: The fastest growing product in history | Nick Turley (OpenAI)
Nick Turley explains how ChatGPT went from a 10-day hackathon-born ship to a product with 700 million weekly users, and the habits behind it: ship early, treat the model as the product, price pragmatically, and keep a very fast pace. The result worth hearing is retention that improves over time and billions in revenue, built from decisions made quickly and often by accident.
- Ship an open-ended product first and learn what people actually want
- Ship unpolished AI capabilities and polish only what real usage shows
- Run a Van Westendorp survey with your community to set price
July 20256
Lenny's Podcast · Jul 31He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor (Sierra)
Bret Taylor shares lessons from a failed Google product that led to Google Maps, a daily question for choosing the highest-impact work, and how AI agents, outcome-based pricing and direct sales will reshape software. Sierra's agents automate 50 to 90% of customer service interactions for its customers, which makes his go-to-market and pricing views worth hearing.
- Price AI agents on outcomes, not tokens or usage
- Match your go-to-market motion to who buys and who uses
- Use direct sales when your buyer is not your user
Lenny's Podcast · Jul 27Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam
Pricing and monetization expert Madhavan Ramanujam explains how to balance market share and wallet share, negotiate for full value, run POCs as business-case creation, and pick an AI pricing model with an attribution and autonomy 2x2. His work covers 250+ companies and 30 unicorns, and he argues AI winners can capture 25% to 50% of the value they create versus 10% to 20% for classic SaaS.
- Pick your AI pricing model with the attribution and autonomy 2x2
- Move toward outcome-based pricing by building attribution and autonomy into the product
- Price AI products to capture 25% to 50% of the value created
Lenny's Podcast · Jul 17The AI-native startup: 5 products, 7-figure revenue, 100% AI-written code. | Dan Shipper (Every)
Every runs a daily newsletter, several AI apps and a consulting arm with 15 people by making AI the default way of working, including engineers who write no code by hand. The episode covers the specific habits behind that: an AI operations lead, compounding engineering, a multi-agent stack, and a playbook for making any company AI-first.
- Hire an AI operations lead to automate everyone's repetitive work
- Make your CEO a daily AI user before rolling AI out
- Run weekly prompt-sharing sessions and publish AI usage stats company-wide
Lenny's Podcast · Jul 13Rapidly test and validate any startup idea with the 2-day Foundation Sprint
The episode walks through the Foundation Sprint, a roughly 10 hour, two-day process that settles customer, problem, competition, differentiation and approach before any building starts, then tests the resulting hypothesis in weekly design sprints. Founders who run it say it compresses three to four months of work into three to four weeks, and the example startup Latchet went from a scorecard full of red to all green in three weekly sprints.
- Clear the core team's calendar for about 10 hours at the start
- Write your founding hypothesis as one fill-in-the-blank sentence
- Use note and vote with a single decider to avoid groupthink
Lenny's Podcast · Jul 6Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo
A solo founder explains how he grew an AI app builder to 400,000 users with no paid marketing, using hands-on early users, building in public on LinkedIn and credit incentives. The result is $1M ARR three weeks after launch and an $80M+ acquisition by Wix within six months, with no outside funding.
- Do not scale marketing until users start sharing the product on their own
- Pay users in product credits to share what they build
- Build in public on one channel and share the honest good and bad
Lenny's Podcast · Jul 3I’ve run 75+ businesses. Here’s why you’re probably chasing the wrong idea. | Andrew Wilkinson
Andrew Wilkinson explains how to pick business ideas by fishing where the fish are, favoring boring niches, buying businesses with moats, and hiring fully formed people. He bootstrapped Tiny to almost $300 million in revenue across 40+ businesses without venture capital, and he now runs much of his inbox, calendar and research with AI agents.
- Pick a boring niche with little competition instead of a crowded, glamorous market
- Skip business models where others have repeatedly failed, however sure you are you can do it better
- Start with an easy first business that gives you an early win
June 20254
Lenny's Podcast · Jun 29Naming expert shares process for creating billion-dollar brands: Vercel, Azure, Windsurf, Sonos
Lexicon's naming process (identify, invent, implement) and a diamond exercise any founder can run to find a bold, distinctive brand name. It comes from a team that has named nearly 4,000 brands, including Sonos, Azure, Windsurf, Vercel, BlackBerry and Pentium.
- Generate 1,000 to 1,500 name ideas before evaluating any of them
- Treat polarization inside your team as a sign you have a strong name
- Do not expect to know the name when you see it
Lenny's Podcast · Jun 22From ChatGPT to Instagram to Uber: The quiet architect behind the world’s most popular products
Peter Deng shares lessons from scaling Facebook News Feed, Messenger, Instagram, Uber and ChatGPT: how to build teams of different PM types, hire for autonomy and growth mindset, and scale products from 1 to 100. The result worth hearing: Uber Reserve grew into a business approaching $5 billion a year by focusing on one human need, peace of mind.
- Hire so that in six months you are not telling them what to do
- Run a final interview that tests only growth mindset
- Build a growth team early to make the whole product rigorous
Lenny's Podcast · Jun 19AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff
Prompt engineering still matters, and a handful of techniques (few-shot examples, decomposition, self-criticism, added context, ensembling) deliver most of the gain, especially in product prompts that run at scale. Prompt injection cannot be fully solved, and common defenses like prompt instructions and guardrails fail against motivated attackers.
- Give the model examples of what good looks like
- Dump rich background information into the prompt, placed at the top
- Ask the model to list subproblems before solving anything
Lenny's Podcast · Jun 5Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram)
Anthropic's CPO explains how product work shifts when AI writes 90 to 95% of code, where new bottlenecks appear, and how to position an AI company against a bigger rival. He also covers why he shut down Artifact and why MCP could make all software scriptable by models.
- Embed product people with researchers working on the model itself
- Re-architect your merge queue and review process when AI writes most code
- Find the new bottlenecks upstream and downstream of AI-written code
May 20255
Lenny's Podcast · May 25Growth tactics from OpenAI and Stripe’s first marketer | Krithika Shankarraman
Marketing playbooks copied from other companies usually fail, so this episode teaches a four-step diagnostic (DATE) for finding the right marketing move, with examples from OpenAI, Stripe and Retool. The proof: ChatGPT Enterprise lead volume rose 40x overnight, and Retool and Stripe won by zigging where competitors zagged.
- Diagnose your funnel before hiring a demand generation leader
- Use the DATE framework: diagnose, analyze, take a different path, experiment
- Judge marketing channels by pipeline and revenue, not clicks or impressions
Lenny's Podcast · May 22Unconventional product lessons from Binance, N26, Google, more | Mayur Kamat (CPO at N26)
Mayur Kamat explains how to run product through fast experimentation, daily ownership and a focus on the highest-leverage problems, drawing on Binance, Agoda, Google and N26. He also gives career advice on compounding learning, playing to strengths, and not optimizing for early compensation.
- Treat strategy as hypothesis speed: go from idea to data fast
- Focus your time on problems with a 10x positive or negative impact
- Keep your calendar open so you can dig into high-leverage problems
Lenny's Podcast · May 18Microsoft CPO: If you aren’t prototyping with AI you’re doing it wrong | Aparna Chennapragada
Aparna Chennapragada explains how to build products in the AI era: prototype instead of writing specs, design natural language interfaces on purpose, and judge zero-to-one ideas by whether at least two of three inflection points are present. She draws on Google Lens, Google Now, Robinhood, GitHub Copilot and Microsoft's Frontier program.
- Prototype with AI before writing specs; treat prompt sets as PRDs
- Look for two of three inflection points before starting a zero-to-one product
- Solve the problem before you scale it
Lenny's Podcast · May 4Inside Devin: The AI engineer that's set to write 50% of its company’s code this year | Scott Wu
Scott Wu explains how Cognition built Devin, an autonomous AI software engineer you work with through Slack, Linear and GitHub, and how to get value from agents in a real engineering team. A 15-engineer team now has Devin author about a quarter of its pull requests, with more than half expected by year end.
- Hand Devin well-defined tasks, not open-ended problems
- Run several agents asynchronously and step in only for the hard 10 to 20%
- Onboard a new agent like a junior engineer, starting with easy tickets
Lenny's Podcast · May 1The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell
Michael Truell explains how Cursor was built by dogfooding, why it ended up training its own models, and how it hired and stayed focused while growing very fast. Cursor reached $100 million ARR 20 months after launch and $300 million two years in, with about 60 people and almost no sales or marketing early on.
- Train small custom models for tasks where foundation models fail on speed or cost
- Use an ensemble: big models for planning, small fast models for details
- Dogfood intensely and never ship what is not useful to you
April 20254
Lenny's Podcast · Apr 27Inside monday.com’s transformation: Radical transparency, impact over output, & the path to $1B ARR
monday.com's product chief explains how seeing a competitor ship 30 new column types forced the team to set impossible goals, orient around impact, share every metric company-wide, and timebox releases. The result is a company that grew from about $4M ARR and 30 to 40 people to over $1B ARR, 250,000 customers and 2,500 employees.
- Set a goal that cannot be met by working the same way
- Ask what transformed the product in the last three months
- Define the user problem and success metric before any solution
Lenny's Podcast · Apr 20Building a magical AI code editor used by over 1m developers in 4 months: Inside Windsurf
Varun Mohan explains how Codeium pivoted twice, from GPU virtualization to an IDE plugin to its own AI IDE, and how it hires, sells to enterprises and builds product. Windsurf passed 1 million developers in four months, and its own sales and partnerships staff built custom apps that saved over $500k in SaaS spend.
- Build your own surface when host APIs cap the user experience
- Hire only when a function is underwater, not ahead of need
- Use understaffing to force ruthless prioritization
Lenny's Podcast · Apr 13Everyone’s an engineer now: Inside v0’s mission to create 100 million builders | Guillermo Rauch
Guillermo Rauch explains how v0 turns prompts into real, shippable web products, and how to prompt it, get unstuck, build taste and run a team where everyone can ship. He built a working flight radar app in under two hours on a $20 plan, work he estimates would take engineers weeks.
- Open an in-product feedback channel that streams straight into Slack
- Track exposure hours: time spent watching real people use products
- Build taste by using many products and shipping your own
Lenny's Podcast · Apr 10OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil
Kevin Weil explains how OpenAI builds products on models that improve every few months: evals, model ensembles, fine-tuning, bottoms-up teams and a model maximalist mindset. The episode is worth hearing because it shows how ChatGPT, deep research and ImageGen were shipped fast, with a small PM team, at 400 million weekly users.
- Build products on the edge of what models can do
- Write evals for your hero use cases before building
- Design the product around the model's real accuracy rate
March 20256
Lenny's Podcast · Mar 30A better way to plan, build, and ship products | Ryan Singer (creator of “Shape Up")
Ryan Singer explains Shape Up, a way of building product that fixes a time budget (the appetite) and shapes the solution to fit it, with engineering, product and design working out the idea together before any build starts. It is worth hearing for the concrete shaping techniques and the real-world reasons teams adopt it and fail at it.
- Set an appetite first, then shape a solution that fits it
- Put a senior engineer, a product person and a designer in the shaping room
- Check that the shaped idea fits in under ten moving pieces
Lenny's Podcast · Mar 27How to win in the AI era: Ship weekly, embrace technical debt, ruthlessly cut scope, and more
Gaurav Misra explains how Captions runs an AI consumer startup: every engineer ships a marketable feature each week, scope is cut instead of quality, technical debt is taken on on purpose, and a secret roadmap drives the big wins. It also covers how Snap built products with designers acting as PMs, and how Captions ignored its own hit app for 1.5 years while it kept growing to $500,000 in revenue.
- Have every engineer ship one marketable feature every week
- Cut scope, not quality, when the timeline is pressured
- Keep a secret roadmap next to the public one
Lenny's Podcast · Mar 23Superhuman's secret to success | Rahul Vohra (CEO and founder)
Rahul Vohra explains how Superhuman finds product-market fit with a survey-driven engine, onboards users by hand to build superfans, prices at the 'starting to get expensive' point, and restructures the CEO role to speed up shipping. He moved from 6 to 7% to 60 to 70% of his week on product, design, technology and marketing, and Superhuman users now run its AI write feature 37 times per week.
- Ask users how disappointed they'd be, and target 40% very disappointed
- Build your roadmap from somewhat-disappointed users whose favorite benefit matches your core benefit
- Split each planning cycle half on strengths, half on objections
Lenny's Podcast · Mar 13Inside Bolt: From near-death to one of the fastest-growing products in history | Eric Simons
Eric Simons explains how StackBlitz, days from shutting down, launched Bolt on top of seven years of WebContainer technology and a new Claude Sonnet model. It went from zero to about $40M ARR and 1M monthly users in roughly five months with a team of 15 to 20.
- Replace the single flat price with tiered plans that sell more inference
- Run compute in the user's browser to get a generous free tier
- Keep burn low until customers pull the product from you
Lenny's Podcast · Mar 9Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder)
Anton Osika explains how Lovable, an AI software engineer for non-coders, grew on word of mouth and a tiny team, and how he hires, prioritizes and prompts. Lovable reached $4M ARR in four weeks and $10M ARR in two months with 15 people, then passed $1M of new ARR per week.
- Fix the specific places where AI gets stuck, then tune quantitatively
- Make the most common building blocks never fail first
- Let word of mouth drive growth by shipping a product people love
Lenny's Podcast · Mar 6Notion's lost years, near collapse during COVID, staying small to move fast, building horizontal
Ivan Zhao explains how Notion went through about four lost years and several resets before finding a product people wanted, and how it stayed small, profitable and horizontal afterward. The result is a company that is profitable, hired no salesperson until over $10 million ARR, and reached a $10 billion plus valuation.
- Hide your big vision inside a product people already want
- Use a large, simple use case as the top of your funnel
- Sell horizontal products as ready-made solutions, not raw building blocks
February 20251
January 20254
Lenny's Podcast · Jan 30Linear’s secret to building beloved B2B products | Nan Yu (Head of Product)
Linear's head of product explains how the team ships fast without losing quality, says no to bloat, and digs for the emotions behind customer requests. The result is a B2B tool that Lenny's survey found was the top tool people wish they could switch to from Jira.
- Get a working version in the first 10% of the time budget
- Release each feature to widening circles of users before GA
- Refuse customization features that help managers but hurt individual contributors
Lenny's Podcast · Jan 26An operator’s guide to product strategy | Chandra Janakiraman (CPO at VRChat, ex-Meta, Headspace)
A repeatable five-phase, 8 to 12 week operator's playbook for building a product strategy: a small working group, leadership interviews, a problem-clustering sprint that picks three pillars, a design sprint, a short doc and a staged rollout. He used it five or six times, including at Meta, and it came out of a Headspace strategy that helped relaunch the product and earned him the first CPO role.
- Form a cross-functional strategy working group, not a solo PM effort
- Interview leaders before you build the strategy, not after
- Spend about four weeks on preparation and build one master readout deck
Lenny's Podcast · Jan 1910 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey)
Ten growth tactics that repeatedly fail, from hiring a growth team too early to rebrands, copying competitors, and testing everything, plus three frameworks to use instead. Backed by Elena Verna's 15+ years leading growth at Dropbox, Miro, Amplitude and SurveyMonkey and advising dozens of companies.
- Let founders drive growth until you have product market fit and real data
- Hire sales before growth if sales collects your money
- Do not hire a head of growth to reverse a business decline
Lenny's Podcast · Jan 9Behind the founder: Drew Houston (Dropbox)
Drew Houston walks through Dropbox's three eras: viral hypergrowth, a period of being squeezed by Apple, Google and Microsoft, and a reboot around a new mission and product. He explains the strategic and personal lessons, including how he went all-in on one market, fixed his own blind spots, and kept his learning curve ahead of the company's.
- Engineer a viral demo video aimed at your early adopters
- Treat viral loops as engineering problems, with referrals and shared folders
- When a strategic inflection point hits, go all in on one market
December 20246
Lenny's Podcast · Dec 29Why great AI products are all about the data | Shaun Clowes (CPO at Confluent)
Shaun Clowes explains how product managers can become far more effective by living outside the building, using data as a compass rather than a GPS, and treating data management as the core of any AI product. He draws on building Atlassian's first B2B growth team and running product at MuleSoft, Metromile and Confluent.
- Spend 80% of your thinking time on customers, market and competitors
- Make your AI product great by feeding it better, fresher context
- Ask an LLM where your strategy does NOT fit customer interviews
Lenny's Podcast · Dec 22Behind the founder: Marc Benioff
Marc Benioff explains how he launches products by testing many tactics, keeping a beginner's mind, and leading every function of the company like an orchestra conductor. He also covers the Agentforce launch, the 10% layoff he architected, and what Steve Jobs taught him, at a company now worth around $350 billion and still growing after 25 years.
- Throw many tactics at a launch, then scale the one that sticks
- Run your own product first and show the results as proof
- Stage a stunt that makes your category rival the story
Lenny's Podcast · Dec 15Behind the product: Duolingo streaks | Jackson Shuttleworth (Group PM, Retention Team)
Duolingo's retention lead walks through four years and over 600 experiments on the streak feature, covering unit of use, goal setting, streak freezes, copy, notifications and how the team runs experiments. The streak is described as Duolingo's biggest growth lever for daily active users, with over 9 million users holding a year plus streak.
- Base your streak on one simple unit of use
- Do not make the streak so easy that you capture low-intent users
- Concentrate retention work on getting users to a seven day streak
Lenny's Podcast · Dec 11Making and Leading Products People Love (Scott Belsky) | Lenny & Friends Summit 2024
A curated set of product leadership insights from building Behance and overseeing Creative Cloud at Adobe, centered on the idea that users are lazy, vain and selfish and that simple, well-defaulted products win. It matters because the lessons come from killing Behance features to lift core engagement, early Pinterest, Slack and Square examples, and years of product advising.
- Optimize for shallow value before deep value in new products
- Cut features aggressively and only ship half of what you want
- Do your differentiating feature extraordinarily well before shipping the MVP
Lenny's Podcast · Dec 8Seth Godin's best tactics for building remarkable products, strategies, brands and more
Seth Godin explains how to build products people talk about, why brands are promises rather than logos, and why choosing your customers, competition, validation source and distribution shapes your future. He draws on his start as a product manager at Spinnaker, where five games in a row went gold and saved the company, and on nearly 10,000 daily blog posts in a row.
- Choose your smallest viable audience before you build anything
- Build a network effect into the product so users tell others
- Decide in advance what you want customers to say about you
Lenny's Podcast · Dec 1Identify your bullseye customer in one day | Michael Margolis (UX Research Partner at GV)
A step-by-step method for finding your bullseye customer, the narrow group most likely to adopt your product first, in a single day using five interviews, three simple prototypes and a team watch party. It comes from over 300 hands-on research sprints with startups, and it can save a team from building something nobody wants.
- Define a comically narrow bullseye customer before you build or research anything
- Run the bullseye sprint: five customers, three prototypes, interviews in one day
- Describe your bullseye with inclusion criteria, exclusion criteria and triggers
November 20248
Lenny's Podcast · Nov 24The ultimate guide to founder-led sales | Jen Abel (co-founder of JJELLYFISH)
Founder-led sales is about learning from the market first and earning the right to sell, and the episode walks through each step of the sales cycle with exact phrasing and pitfalls. Jen Abel draws on work with 300+ early-stage founders heading toward their first $1M ARR, including benchmarks for win rate, conversion rate, deal size and cycle length.
- Write cold outreach with relevance, a counterintuitive hook, and the problem only
- Keep cold messages to three or four sentences so they fit one phone screen
- Hand-write 30 notes before buying any outbound tools
Lenny's Podcast · Nov 21Behind the product: Replit | Amjad Masad (co-founder and CEO)
Replit's CEO demos an AI agent that builds and deploys a full-stack app from one prompt, and explains how the product is designed, what it can and cannot do, and how it changes work for PMs, designers and engineers. The demo app took 5 to 10 minutes and about 15 cents of compute for work that would take an engineer a few days to a week.
- Build for the models landing in six months, not today's
- Design a separate computer interface for your AI agent, not a human one
- Use a society of models, each doing a different job
Lenny's Podcast · Nov 17Building Wiz: the fastest-growing startup in history | Raaz Herzberg (CMO and VP Product Strategy)
Raaz Herzberg explains how Wiz found product-market fit by changing how it listened to customers, then used bold, low-cost marketing experiments to fix awareness. Wiz reached $100 million ARR in 18 months and now has over $500 million ARR.
- Treat polite interest as noise and look for pull
- Run 10 to 15 customer calls a day to find what works
- Ask 'what exactly are we building' until the answer is concrete
Lenny's Podcast · Nov 14Becoming an AI PM | Aman Khan (Arize AI, ex-Spotify, Apple, Cruise)
Explains the three flavors of AI product manager, how to break into the role with a portfolio of built prototypes, and how to avoid copying chatbot-style AI products. Also covers how to last as an individual contributor PM through energy, comfort with wandering, and using AI to find signal in customer data.
- Build a portfolio of working AI prototypes to get hired as an AI PM
- Do not copy the chatbot interface; ask what interface the problem needs
- Leave knobs and levers so users keep some control of automated experiences
Lenny's Podcast · Nov 11Simplify To Win | Lenny & Friends Summit 2024
Simplicity helps teams decide what to build, how to design it and how to tell its story, using WhatsApp and Faire as examples. At Faire, simplifying 50 priorities into 8 and organizing around customer jobs doubled the marketplace's growth rate while other global marketplaces slowed.
- Find the one thing that makes your product indispensable and perfect it first
- Cut your priority list down to the few that make the product indispensable
- Make your product feel familiar by borrowing patterns users already know
Lenny's Podcast · Nov 7Breaking the rules of growth: Why Shopify bans KPIs, optimizes for churn, and prioritizes intuition
Shopify's growth head explains how the company measures growth by long-term cohort GMV instead of local conversion rates, keeps multi-year holdouts on experiments, and runs core product on taste instead of KPIs. The standout result is that 30 to 40% of experiments that show early lift have no lasting impact a year later.
- Keep holdouts on every experiment and recheck results at 3, 6, 9 and 12 months
- Expect 30 to 40% of early experiment wins to vanish long term
- Measure absolute people reaching each stage, not stage conversion rates
Lenny's Podcast · Nov 6A conversation with OpenAI's CPO Kevin Weil, Anthropic's CPO Mike Krieger, and Sarah Guo
Two AI lab product chiefs explain how to build products on models whose capabilities are uncertain, why writing evals is becoming a core PM skill, and how to design for imperfect, non-deterministic output. They also share early uses of computer use and o1, and where they think products go next: proactive, asynchronous and multimodal.
- Make writing evals a core skill for every product manager
- Define success for the customer, then let the model help write and grade evals
- Read the actual model outputs instead of trusting eval scores
Lenny's Podcast · Nov 3Just evil enough: Subversive marketing strategies for startups | Alistair Croll
Startups win by finding a subversive, unprecedented go-to-market move (a zero-day marketing exploit) that makes the system behave in a way its creators did not intend. Croll lays out a scanning framework and 11 recurring tactics, backed by case studies like Netflix, Busbud, Burger King and Tesla.
- Find a zero-day marketing exploit instead of copying known growth hacks
- Scan product, medium and market with the Recon Canvas before choosing a go-to-market
- Study the mechanics and norms of each platform you distribute on
October 20243
Lenny's Podcast · Oct 31The ultimate guide to PR | Emilie Gerber (founder of Six Eastern)
Startups get press by sending short, direct pitches that frame the story around a known incumbent and match each reporter's beat. The advice covers which publications fit which stories, how to pitch and follow up, and why press pays off mostly through second-order credibility.
- Frame your product as taking on a named household-name incumbent
- Pitch product news as an underdog taking market share from a big incumbent
- Pitch funding news plainly: exclusive, amount, space and investors
Lenny's Podcast · Oct 27Meta’s head of product on working with Mark Zuckerberg, early growth tactics, and more | Naomi Gleit
Naomi Gleit explains how Facebook's early growth team used growth accounting, a single activation goal and onboarding to drive retention, and how she gets complex cross-functional projects done through extreme clarity, canonical docs and tightly run meetings. Her methods helped launch Teen Accounts and grow a data-driven, product-led growth function that Facebook later applied to areas like social impact and translation.
- Track growth accounting to find whether retention or acquisition is your biggest lever
- Pick one activation metric and rally the whole team around it
- Build a new-user onboarding flow that drives your activation metric
Lenny's Podcast · Oct 10Behind the product: NotebookLM | Raiza Martin (Senior Product Manager, AI @ Google Labs)
NotebookLM grew from a 20% project run by one engineer, a PM and author Steven Johnson into a product with a 60,000 member Discord and fast enterprise interest. The episode shows how a tiny team ships fast inside Google, wraps new model tech in a delightful format (Audio Overviews), and learns by watching users work.
- Wrap a powerful model in a surprising, fun format
- Keep the team tiny and cross-functional in the early stage
- Sit with real users for long, regular stretches
September 20245
Lenny's Podcast · Sep 29How marketplaces win: Liquidity, growth levers, quality, more | Benjamin Lauzier (Lyft, Thumbtack)
Marketplace growth is mostly ordinary product-market fit work plus a specific playbook for liquidity, supply growth and quality. Lauzier shows how Lyft matched Uber's footprint with a tenth to a twentieth of the resources by turning its best drivers into mentors and recruiters.
- Pay your best drivers to onboard new drivers
- Turn top supply into paid recruiters who call drop-offs
- Define a market health metric that predicts your liquidity
Lenny's Podcast · Sep 26Lessons in product leadership and AI strategy from Glean, Google, Amazon, and Slack | Tamar Yehoshua
Tamar Yehoshua shares career and product leadership lessons from Amazon, Google and Slack, plus practical ways to use AI at work and build AI products. Her advice is to follow great people, pair tightly with engineering, and use AI tools hands-on, backed by Slack's 10x revenue growth and Glean's success as an AI company that makes money.
- Use AI products daily so you do not fall behind
- Feed a whole community transcript into a long-context model to mine insights
- Build a prompt that checks real feature launch status
Lenny's Podcast · Sep 19Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author)
SEO should be run as a product tied to the buyer journey, aimed at mid-funnel intent that AI Overviews and chatbots do not swallow. Eli draws on work at Zapier, Tinder, Quora, SurveyMonkey and others, including a Quora fix that quadrupled traffic in three months.
- Build SEO as a product that feeds directly into your product
- Target mid-funnel intent queries, not top-of-funnel discovery queries that AI answers absorb
- Start SEO by being the user and naming what they would search
Lenny's Podcast · Sep 8How LinkedIn became interesting: The inside story | Tomer Cohen (CPO at LinkedIn)
Tomer Cohen explains how LinkedIn rebuilt its feed from a promotional activity stream into a place people check daily, and how he pushed the company to an AI first mindset years before AI was hot. The episode is worth hearing for the concrete moves: a 2 million member carve-out to prove a turnaround, a roadmap reset for LLMs, and clarity rules that keep teams aligned.
- Carve out a small randomized cohort to prove a turnaround product
- Set the product's purpose explicitly and say what it is not
- Measure feed success by downstream engagement, not top-level sessions
Lenny's Podcast · Sep 5The original growth hacker reveals his secrets | Sean Ellis (author of “Hacking Growth”)
Sean Ellis explains how to use the product-market fit survey to find your must-have users and then grow in the right order: activation, engagement, referral, revenue, and only then acquisition. His case studies include Lookout going from 7% to 40% in two weeks and LogMeIn lifting signup-to-usage from 5% to 50%, which took paid channels from $10,000 to $1 million a month.
- Fix activation before scaling acquisition channels
- Reposition on your must-have benefit and onboard straight to it
- Ask the Sean Ellis question to people who have really used the product
August 20242
Lenny's Podcast · Aug 25How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps
Nikita Bier explains how he found, tested and grew teen social apps TBH and Gas to number one in the App Store, and what he tells founders about virality, activation and testing. He sold TBH to Facebook for over $30 million nine weeks after launch, and Gas to Discord after about 10 million downloads and $11 million in sales.
- Build a reproducible testing process so you can take many shots
- Seed a whole community at once so tests give clean signal
- Validate one stage at a time, executing that stage at 100%
Lenny's Podcast · Aug 4Lessons from scaling Uber and Opendoor | Brian Tolkin (Head of Product at Opendoor, ex-Uber)
Brian Tolkin explains how product and operations teams can work together in ops-heavy businesses, how to run product reviews, and how to make decisions when A/B tests are underpowered. He draws on scaling UberPOOL globally and running Opendoor through Covid, including a vertically integrated model that Zillow could not copy and later partnered with.
- Run a power analysis before committing to any A/B test
- Build conviction with other methods when you cannot A/B test
- Accept a long experiment runtime for decisions that truly matter
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Lenny's Podcast · Jul 28The ultimate guide to paid growth | Timothy Davis (Shopify)
Covers how to start, run and staff performance marketing: signs of life tests, which platforms to try first, which metrics to trust, and how to build a lean team. Comes from someone who has scaled paid channels at Shopify, IBM, Pinterest and others and who reportedly beats agency performance within a month of taking over.
- Start every paid channel test with a 1% lookalike of your customers
- Run a small signs of life test before scaling any platform
- Size test budgets to what you can spend, then project the scale-up
Lenny's Podcast · Jul 255 essential questions to craft a winning strategy | Roger Martin (author, advisor, speaker)
Roger Martin lays out the five-question strategy choice cascade (winning aspiration, where to play, how to win, capabilities, management systems) and shows how it applies to teams far below the CEO. He backs it with cases from Southwest, Lego, Four Seasons, Westlaw and P&G Olay, plus a simple 'betterment' method for starting.
- Answer five linked questions: aspiration, where to play, how to win, capabilities, management systems
- Win by being either clearly differentiated or the lowest cost, or leave the field
- Pick a differentiator that rivals either cannot or will not copy
Lenny's Podcast · Jul 21What most people miss about marketing | Rory Sutherland (Vice Chairman of Ogilvy UK, author)
Marketing and behavioral science show why good products fail, why odd and limited products can win, and why metrics-driven logic misleads product and brand decisions. The episode gives practical rules on distinctiveness, fame, simplicity, team size and timing, backed by cases from Sony, Zappos, Shopify, Jaguar and MCI.
- Build your brand by being consistent, distinctive and famous
- Give your product one clear function instead of adding features
- Keep a few odd, idiosyncratic details in your product
Lenny's Podcast · Jul 11Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead)
Jeff Weinstein explains how Stripe builds products by staying close to paying customers, choosing a few customer-facing metrics, and using fun, unnatural practices like Study Groups to keep quality high. The result: Atlas went from 15% to 85% of founders finishing with zero support tickets in 18 months, with NPS above 80 and about one in six new Delaware corporations started on it.
- Pick a metric that measures the customer's outcome, such as zero support tickets
- Count only paying customers' feedback and discount friends' feedback to zero
- Get real payment commitments, not just stated willingness to pay
Lenny's Podcast · Jul 7Pattern Breakers: How to find a breakthrough startup idea | Mike Maples, Jr. (Partner at Floodgate)
Breakthrough startups combine an inflection, a non-consensus insight and a founder who fits that future, then act differently through movements, storytelling and healthy disagreeableness. The lessons come from Maples' database of seed-stage pitch decks and founder histories behind Twitter, Lyft, Twitch, Okta and Applied Intuition, where 80% of his exit profits came from pivots.
- Test any idea against three inflection questions before building
- Build a startup idea on an external inflection, not a market gap
- Live in the future and notice what is missing there
June 20243
Lenny's Podcast · Jun 30Dylan Field live at Figma's Config: Intuition, simplicity, and the future of design
Figma's CEO explains how he treats intuition as a hypothesis generator, fights product complexity, and ships early while holding a quality bar. He also tells how Figma found its first users by asking design heroes for feedback, after a slow three and a half years to launch.
- Treat intuition as a hypothesis generator, then test it with debate and data
- Ship early, but choose two of quality, features, and deadline
- Ask designers you admire for coffee and feedback, not an endorsement
Lenny's Podcast · Jun 16Hard-won lessons building 0 to 1 inside Atlassian | Tanguy Crusson (Head of Jira Product Discovery)
Lessons from taking HipChat, Statuspage and Jira Product Discovery from zero to one inside a large company, covering how to validate assumptions, protect early bets and break internal rules without losing trust. Jira Product Discovery went from a three-person team to 8,000 customers and became one of the fastest growing products in Atlassian history.
- Validate demand before writing code with a newsletter ad and waitlist
- Test the assumptions behind your past success before applying them to a new market
- Show a small number of users progressive exposure with a safety funnel
Lenny's Podcast · Jun 9Lessons from a 2-time unicorn builder, 50-time startup advisor and 20-time board member | Uri Levine
Uri Levine explains how to pick a problem worth solving, find product-market fit through repeated iteration, focus on one startup phase at a time, hire and fire decisively, and pitch investors. He built Waze on about $50 million raised and sold it to Google for over $1 billion, and he has built two unicorns.
- Calendar a 30-day check on every new hire and fire fast
- Put your strongest point on the first slide of your pitch
- Replace the thank-you slide with one more story
May 20244
Lenny's Podcast · May 30The surprising truth about what closes deals: Insights from 2.5m sales conversations | Matt Dixon
Analysis of 2.5 million sales calls shows most lost deals end in no decision because buyers fear messing up, not because they fear missing out. The JOLT method (judge, offer a recommendation, limit the exploration, take risk off the table) gives a way to move hesitant buyers forward.
- Stop dialing up FOMO on buyers who hesitate late in the deal
- Treat fear of messing up as the main cause of stalled deals
- Use pings and echoes to surface hidden buyer concerns
Lenny's Podcast · May 26Unorthodox frameworks for growing your product, career, and impact | Bangaly Kaba (YT, IG, FB)
Bangaly Kaba explains how to pair planned 'understand work' with execution, how to find growth through adjacent users, and how to choose where to work. Applying these at Instagram let 15 teams run 12 to 20 experiments a quarter each with roughly 60 to 70% shippable wins.
- Schedule understand work on the roadmap alongside execution, as parallel tracks
- Understand the problem from first principles before building, not justify an idea afterward
- Instrument the funnel first when you have no step-level data
Lenny's Podcast · May 16Be fundamentally different, not incrementally better | Jag Duggal (Nubank, Facebook, Google)
Nubank's product chief explains how the company builds products customers love fanatically, gating scale on a Sean Ellis score of 50% and calling customers directly. The payoff is 80% to 90% of growth through word of mouth and over 90 million customers across three countries.
- Gate scaling on a Sean Ellis score of at least 50%
- Segment Sean Ellis results to find the bullseye cohort and build for it
- Have product managers phone ten customers themselves
Lenny's Podcast · May 5Business strategy with Hamilton Helmer (author of 7 Powers)
Hamilton Helmer explains how to find and test the sources of durable competitive advantage (his seven powers) at each stage of a company, from pre product-market fit to stability. The episode is worth hearing because it shows which claimed moats usually fail (brand, data scale, flywheels, speed, operational excellence) and which powers a startup can actually build early.
- Start with counter positioning when seeking product-market fit
- Test every claimed moat for both a benefit and a barrier
- Cross branding and process power off your early-stage list
April 20245
Lenny's Podcast · Apr 28Twitter’s ex-Head of Product on Elon, consumer products, culture, more | Kayvon Beykpour
Kayvon Beykpour explains how he moved Twitter's product org from a stagnant, risk-averse culture to one that shipped Spaces, Communities, Community Notes and Fleets, mostly by acquiring founders and giving them silos. He also covers why Periscope failed and where frameworks like Jobs-to-be-Done and OKRs go wrong.
- Treat your sacred cows as a ready-made product roadmap
- Acquire hungry founders and give them a protected silo
- Staff speculative projects only with people who believe in the idea
Lenny's Podcast · Apr 21Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product, Figma)
Shows how to take a new product idea from 0 to 1 inside a large company: build a vision with users and teammates, show it in prototypes, build conviction and hype, and spread it company-wide. It matters because the approach took her pitch from three tries, to a Maker Week hackathon, to a product launching at Figma's Config.
- Pitch big ideas at company-wide forums like hackathons, not only in meetings
- Fake the key surface with a tiny code change to make a prototype believable
- Get a demo into a big internal keynote, even if the product is rough
Lenny's Podcast · Apr 18Lessons from 1,000+ YC startups: Resilience, tar pit ideas, pivoting, more | Dalton Caldwell (YC)
Lessons from advising more than 1,000 startups: keep going, pivot toward what you know, talk to customers in person, and avoid tarpit ideas and over-delegation. The result worth hearing is that the worst-looking companies in one YC group, Brex and Retool, became the biggest wins.
- Pivot toward what you already know, not away from it
- Count your untried growth ideas to decide whether to pivot
- Spend 20 to 30 percent of your calendar on in-person customer meetings
Lenny's Podcast · Apr 11A framework for finding product-market fit | Todd Jackson (First Round Capital)
A four-level framework for finding product-market fit in sales-led B2B, built from First Round's data on hundreds of startups. It gives concrete benchmarks for each level, the signs you are stuck, and the four Ps (persona, problem, promise, product) to change when you are.
- Define product-market fit as demand, satisfaction and efficiency, not just customer love
- Optimize satisfaction first, then demand, then efficiency, as you move through the levels
- At level one, do the work manually to deliver a promise customers urgently need
Lenny's Podcast · Apr 4Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO)
Dharmesh Shah explains how HubSpot made high-conviction, low-consensus bets (SMB focus, an all-in-one product, no direct reports for the CTO) and fought complexity with simple rules and systems. He also shares a data-driven method for learning public speaking, which shows that most skills can be broken down and practiced.
- Measure laughs per minute to improve every talk you give
- Put the punchline last and stop talking so the audience can laugh
- Stack several punchlines onto one story setup
March 20242
Lenny's Podcast · Mar 24Kunal Shah on winning in India, second-order thinking, the philosophy of startups, and more
Kunal Shah explains the Delta 4 framework for judging whether a product is truly better, and how India's low trust, low ARPU and time-insensitive market changes the way products must be built. He also covers second-order thinking, founder evolution and curiosity, drawing on a Freecharge exit near $450 million and CRED's $6 billion valuation.
- Score your product against the old way; build only if it beats it by 4 points
- Build for a Delta 4 product to get near-zero CAC
- Do not treat 100 million Indian users like 100 million US users
Lenny's Podcast · Mar 10Product management theater | Marty Cagan (Silicon Valley Product Group)
Marty Cagan explains the difference between feature teams that ship a roadmap of output and empowered product teams that own outcomes, and why project-manager-style PM roles are now exposed to layoffs and AI. He lays out the skills a real product manager needs and the product operating model that companies outside Silicon Valley have used to transform.
- Give teams problems to solve, not a roadmap of features
- Check whether you are on a feature team before blaming PMs
- Define the PM job as owning value and viability, as a creator
February 20242
Lenny's Podcast · Feb 8Inside OpenAI | Logan Kilpatrick (head of developer relations)
Practical advice on prompting, building on GPTs and the API, and how OpenAI hires and plans to ship fast. The most useful ideas are to give the model context, build vertical products rather than general assistants, and hire for high agency and urgency.
- Hire for high agency and urgency before anything else
- Put full context into every prompt, because the model knows nothing about you
- Paste links and source material into the prompt when the model lacks knowledge
Lenny's Podcast · Feb 4Lessons from Atlassian | Megan Cook (Head of Product, Jira)
Megan Cook explains how Jira's product leadership builds psychological safety, wins buy-in for ideas, makes remote work productive, and launches new product lines through small, stage-gated bets. The result worth hearing is that Atlassian grew to 15 products by backing small teams and customer signals, and used that same small-start approach to fund a CSAT usability push.
- Gate new product bets in stages with small teams
- Start small with a hypothesis to win investment
- Involve affected stakeholders early and keep returning with updates
January 20242
Lenny's Podcast · Jan 25Geoffrey Moore on finding your beachhead, crossing the chasm, and dominating a market
Moore explains how B2B startups move from early adopters to the mainstream by picking a narrow beachhead segment, selling to the customer's problem, and switching go-to-market playbook at each of four market stages. The payoff is a concrete test for a segment, a sales approach for each stage, and a clear sense of when you have crossed the chasm and no longer depend on the next funding round.
- Pick a segment big enough to matter, small enough to lead
- Win one marquee visionary customer before attempting to cross the chasm
- Do not use the visionary project as your beachhead
Lenny's Podcast · Jan 21Good Strategy, Bad Strategy | Richard Rumelt
Strategy is a design for overcoming one high-stakes challenge, built from a diagnosis, a guiding policy and coherent action, and it is best treated as an action agenda rather than a document of goals. Rumelt shows how to find your source of power, pick a challenge that is both important and addressable, and avoid the bad strategy of goal lists, fluff and 17 priorities.
- Replace 'strategy' with an action agenda aimed at one problem
- Build every strategy from diagnosis, guiding policy and coherent action
- Ask 'what makes it hard?' to turn a goal into a diagnosis
December 20235
Lenny's Podcast · Dec 27The hierarchy of engagement | Sarah Tavel (Benchmark, Greylock, Pinterest)
Two frameworks for building a consumer product and a marketplace: the Hierarchy of Engagement (core action, retention, self-perpetuation) and the Hierarchy of Marketplaces (focus, tip, dominate). The lesson is to measure real engagement and happiness instead of MAUs or GMV, and to win a small constrained market before expanding.
- Pick one core action and judge every experiment by it
- Track weekly cohorts of users completing the core action, not MAUs
- Make the product better the more it is used, and costlier to leave
Lenny's Podcast · Dec 17Jason Fried challenges your thinking on fundraising, goals, growth, and more
Jason Fried explains how 37signals runs as a bootstrapped, profit-first company with about 75 people, using six-week appetites, small teams and gut-driven decisions instead of goals and long-term plans. The result is 24 straight profitable years, 100,000+ paying customers and double-digit million dollar annual profits with no investors or board.
- Set a time appetite for each feature instead of estimating
- Staff each feature with just one programmer and one designer
- Kill unfinished work at the deadline instead of extending it
Lenny's Podcast · Dec 7The full-stack PM | Anuj Rathi (Swiggy, Jupiter Money, Flipkart)
Anuj Rathi shares practical frameworks for product work: designing for lazy, vain and selfish new users, writing three divergent press releases, the 4BB strategy buckets, and why OKRs fail in marketplaces. His lessons come from seven years at Swiggy and a career building products for India since 2010.
- Write three divergent press releases and FAQs before choosing a plan
- Design onboarding for users who are lazy, vain and selfish
- Run product reviews on a named person's real journey, not a persona
Lenny's Podcast · Dec 3Crafting a compelling product vision | Ebi Atawodi (YouTube, Netflix, Uber)
Teaches a concrete process for building a product vision: empathize with the problem, create the vision, then evangelize it in widening circles. Ebi shows how a living list of top problems, a story template, a future headline and a rough mock took her visions from an L4 PM at Uber to Vision 2026 at YouTube.
- Keep a living top 10 problems doc for every PM
- Test your vision against four criteria before you share it
- Write your vision as a once upon a time story
Lenny's Podcast · Dec 1The future of AI in software development | Inbal Shani (CPO of GitHub)
Inbal Shani explains how GitHub built and measures Copilot, why AI augments rather than replaces developers, and how to adopt AI by starting from customer problems. Copilot reached over 37,000 organizations and 1.5 million developers, with users writing code 55% faster in GitHub's surveys.
- Start from the customer problem, then pick AI as the tool
- Run a change management process instead of just handing out AI tools
- Make the AI feature seamless so developers adopt it without effort
November 20234
Lenny's Podcast · Nov 26Billion dollar failures, and billion dollar success | Tom Conrad (Quibi, Pandora, Pets.com, Zero)
Tom Conrad draws on Pets.com and Quibi failures and on Pandora, Snap and Zero successes to show why a company is an equation of investment and returns, and why product craft alone cannot fix a broken one. He took Pandora from zero to 80 million users with no paid acquisition and now runs Zero, a subscription app with over 100,000 paying users that also grows without paid acquisition.
- Build a model of the whole business before optimizing funnels
- Check that the foundational business math works before iterating on product
- Show leadership the data on the riskiest assumption in the plan
Lenny's Podcast · Nov 12Brian Chesky’s new playbook
Brian Chesky explains how he moved Airbnb from a divisional, delegated structure to a functional, founder-led one with a single rolling two-year roadmap, two launches a year and weekly CEO reviews. The result is a company of fewer than 7,000 people that ships cohesive product releases and has far fewer bad surprises after the pandemic wiped out 80% of the business in eight weeks.
- Keep one rolling two-year roadmap and ship only what is on it
- Review all product work weekly as CEO with green, yellow, red status
- Be in the details, which is different from micromanaging
Lenny's Podcast · Nov 9Marketplace lessons from Uber, Airbnb, Bumble, and more | Ramesh Johari (Stanford professor)
Marketplaces sell the removal of friction between two sides, so early on founders should solve a concrete problem and scale one side before calling themselves a marketplace. Data science helps most when it focuses on decisions and causation rather than prediction, with experiments built for learning and rating systems designed with priors.
- Don't call yourself a marketplace until both sides have scaled liquidity
- Start with a concrete value proposition that works without liquidity
- Define your marketplace value as removing friction, and charge for that
Lenny's Podcast · Nov 5Mastering product strategy and growing as a PM | Maggie Crowley (Toast, Drift, TripAdvisor)
The best PMs simplify, follow up on results and do the unglamorous work, and strategy is only a small slice of the job. The episode gives a step-by-step strategy doc and a one-pager template, plus career advice from someone who took five years to feel competent as a PM.
- Write a landscape-first strategy doc and share it with everyone
- Put a one-paragraph summary on top of a long strategy doc
- Read your writing out loud, then write what you would say
October 20237
Lenny's Podcast · Oct 29Reflections on a movement | Eric Ries (creator of the Lean Startup methodology)
Eric Ries explains that an MVP is the most efficient test of a hypothesis rather than a low-quality product, and how to decide when to pivot, handle uncertainty such as AI, and build governance that protects a company's values. The episode is worth hearing for concrete stories, such as a $18 million research plan killed by one brochure and an LTSE partnership that collapsed after two years, that show why fast learning beats polish.
- Cut your MVP feature list in half, then in half again
- Test a brochure with customers before building the product
- Define the MVP by the hypothesis you want to test
Lenny's Podcast · Oct 26What AI means for your product strategy | Paul Adams (CPO of Intercom)
Intercom's CPO explains how the company tore up its strategy after ChatGPT launched and rebuilt around AI, with a practical method for mapping any product against what AI can do. He also shares hard-won lessons on pricing, table stakes versus differentiation, and over-correcting when hiring or changing course.
- Map your product's core job against what AI can do
- Rebuild strategy from first principles when a before-after moment hits
- Keep pricing simple and resist adding add-ons and tiers
Lenny's Podcast · Oct 22A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Sales Pitch)
A B2B sales pitch should be built on positioning: set up the market with an insight, then prove differentiated value, instead of walking through features. April Dunford has seen companies double first-call-to-opportunity conversion, and once doubled revenue in two quarters, by tightening the pitch.
- Open your pitch with a setup, then a differentiated value follow-through
- Pitch value, not features, by asking so what to every feature
- Teach buyers how to buy by mapping the whole market
Lenny's Podcast · Oct 19Scaling Duolingo, embracing failure, and insight into Latin America’s tech scene | Gina Gotthilf
Gina Gotthilf explains how Duolingo grew from 3 million to over 200 million users mostly through organic channels: lean spending, a retention focus, rigorous A/B testing and a distinctive brand voice. She also shares landing page lessons from the Bloomberg campaign, her failed experiments and why treating markets as one saves startups time.
- Optimize the page after the ad click, not only the ad
- Make landing pages mobile-first, skimmable, with title and button that match
- Delay paid acquisition until you have an LTV to compare to CAC
Lenny's Podcast · Oct 12How to get press for your product | Jason Feifer (editor in chief of Entrepreneur magazine)
Press works when you pitch what a publication's audience needs, not what you want said, and the episode lays out a three-step process of prep, picking the right writer, and a short customized pitch. It matters because a single story has driven more downloads and sales in a month than a founder's paid marketing, though results swing widely.
- Decide what press is for before you chase any coverage
- Pitch what serves the publication's audience, not what serves you
- Work out each publication's mission by reading several of its stories
Lenny's Podcast · Oct 8Inside Linear: Building with taste, craft, and focus | Karri Saarinen (co-founder, designer, CEO)
Linear builds an issue tracker with a high bar for craft, no A/B tests, no metric goals and only one PM, relying on customer closeness, taste and a small high-caliber team. It has been profitable for two years and has a net negative lifetime burn, with a hand-picked waitlist, a year-long private beta and a paid work trial hiring process behind it.
- Invite waitlist users in small cohorts and fix problems between batches
- Use a waitlist survey to choose which early users to let in
- Treat product-market fit as a spectrum by segment and double down where it works
Lenny's Podcast · Oct 5Brian Balfour: 10 lessons on career, growth, and life
Brian Balfour walks through lessons from a personal Notion doc of over a hundred, covering hiring on work samples, light planning, flat org design, and growth as a system. He also covers doing the opposite of the crowd, use cases over personas, and defining who you are not solving for, with examples from HubSpot and Reforge.
- Hire on work samples and simulations, not interview conversations
- Ask teams what it takes to win, then discuss the cost
- Plan with visuals of the experience instead of OKR documents
September 20237
Lenny's Podcast · Sep 28Building Anchor, selling to Spotify, and lessons learned | Maya Prohovnik (Head of Podcast Product)
Maya Prohovnik explains how Anchor reached its early growth through hands-on dogfooding, unscalable tricks and willingness to drop products that were working. She also covers how the team kept a startup pace inside Spotify, where more than 75% of new shows are now hosted on what used to be Anchor.
- Fake automation with people to make a one-button feature feel magical
- Build things that don't scale to hack early growth
- Make every product team member create their own podcast
Lenny's Podcast · Sep 24How to drive word of mouth | Nilan Peiris (CPO of Wise)
Wise gets about 70% of new customers through word of mouth by using NPS comments to find what customers want (price, speed, ease of use) and then making those things 10x better than anyone else. The episode explains how that plays out in pricing, experimentation, team structure and referrals, at a company moving about $12 billion a month and profitable for more than four years.
- Ask new customers how they heard about you, inside the flow
- Use the NPS survey to find who actually recommends your product
- Optimize NPS instead of conversion rate to compound growth
Lenny's Podcast · Sep 21Becoming evidence-guided | Itamar Gilad (Gmail, YouTube, Microsoft)
Itamar Gilad explains how to move a team from opinion-based to evidence-guided decisions using the GIST model, metric trees, ICE and his confidence meter. He contrasts the roughly 1000-person Google+ effort that failed with the Gmail tabbed inbox, built on cheap tests, which most of Gmail's 1.8 billion users now use.
- Fake the product with a facade before writing any code
- Score idea confidence by the strength of evidence, not conviction
- Never treat a competitor having the feature as validation
Lenny's Podcast · Sep 17How to become a category pirate | Christopher Lochhead (Author of Play Bigger, Niche Down, more)
Category design means defining a new problem and a new language for it, so you earn most of the value instead of fighting over the leftovers of an existing market. The episode backs this with the finding that one company takes most of a tech category's value, plus examples such as Purell, Otis, Starbucks and Lomi, and failures such as Threads, Red Bull Cola and Gong.
- Design a new category instead of competing for a share of an existing one
- Stay obsessed with the problem and reframe it, not just the solution
- Avoid the better trap: a better copy of a known solution to a known problem
Lenny's Podcast · Sep 14Picking sharp problems, increasing virality, and unique product frameworks | Oji Udezue (Typeform)
Oji Udezue shares product and growth frameworks for choosing sharp problems, finding ICPs, onboarding users, and building virality through product quality rather than tricks. He draws on his work at Atlassian, Calendly, Twitter and Typeform, and explains how to judge a problem's sharpness with measurable workflow compression.
- Measure workflow length before and after your product to test problem sharpness
- Make your product at least 2 to 3 times better than the status quo
- Build a great product on a sharp problem before adding viral tactics
Lenny's Podcast · Sep 7An inside look at Figma’s unique GTM motion | Claire Butler (first GTM hire)
Figma's first go-to-market hire explains the two-part bottom-up motion: get individual contributors to love the product, then help them spread it through their organizations. The payoff is a company that had no sales team for three years and still sources most sales leads from its free and pro users.
- Make individual contributors love the product, then let them spread it
- Do not cap collaborators on the free tier; cap files instead
- Build a tiered path where each upgrade step fits its buyer
Lenny's Podcast · Sep 3Inside Etsy’s product, growth, and marketplace evolution | Tim Holley (VP of Product)
Etsy's product leader explains how the company shifted from a consensus culture to a single north star metric, and how it improves conversion, acquisition and retention in a marketplace with over 100 million unique items. Over a decade he saw Etsy grow from around 500 million to over 13 billion in GMV.
- Rally the whole company around one north star metric
- Pair a clear KPI with a narrative, and repeat it relentlessly
- Add one-line values copy to the cart to lift conversion
August 20236
Lenny's Podcast · Aug 27An inside look at Deel’s unprecedented growth | Meltem Kuran Berkowitz (Head of Growth)
Deel's head of growth explains how a B2B company grows by answering buyers' questions in communities, SEO and partnerships before paid ads and awareness campaigns. Deel went from under $1 million ARR in July 2020 to $295 million at the start of 2023 while staying EBITDA positive.
- Track keywords on Reddit and Quora and answer buyer questions for free
- Answer the question fully first, then mention your product
- Check a community's size ceiling before investing in it
Lenny's Podcast · Aug 24The ultimate guide to JTBD | Bob Moesta (co-creator of the framework)
Jobs To Be Done treats demand as caused by a struggling moment in a specific context, and the episode shows how to interview buyers, map the forces that move them, and design around friction instead of features. Examples include a 4x sales conversion lift at Autobooks and a 30% sales increase from bundling moving and storage into a condo deal.
- Reduce friction instead of adding features to drive more switching
- Design the sales process around the buyer's stage, not your close
- Interview ten recent buyers about why they bought, not about your product
Lenny's Podcast · Aug 19Monetizing passions, scaling marketplaces, and stories from a creator economy vet | Camille Hearst
Lessons on monetizing creators and fans, building marketplaces from the supply side, and selling a startup, drawn from time at iTunes, YouTube, Hailo, Patreon and Spotify. The most useful parts are concrete creator-success habits, advice on running an acquisition as a process, and why supply comes first in a marketplace.
- Start marketplaces by fixing supply, because empty supply breaks everything else
- Treat selling your company as a managed process, like fundraising
- Start talking to potential acquirers early, long before you need to sell
Lenny's Podcast · Aug 13The ultimate guide to Martech | Austin Hay (Reforge, Ramp, Runway)
Explains what marketing technology is, when a company needs a dedicated Martech person, and how to set up tracking, tooling and attribution so growth keeps scaling. The practical value is a concrete attribution data setup, a build-and-buy approach to tools, and hiring and decision frameworks drawn from Airbnb, Notion, Postmates, Walmart and Ramp.
- Capture first and last touch UTMs and ad click IDs from day one
- Write attribution data to both the user profile and every event
- Buy the tool for 90 percent, then build on top for the rest
Lenny's Podcast · Aug 10Relentless curiosity, radical accountability, and HubSpot’s winning growth formula | Chris Miller
Chris Miller explains how a small growth team at HubSpot took ownership of neglected self-service surfaces, helped shift the company toward a hybrid product-led motion, and what traits and habits make strong growth PMs. The episode is worth hearing for a practical way to scope product-led growth, a list of common PLG mistakes, and the story of a pricing page rebuild that created a step change in the funnel.
- Take ownership of neglected problems, even outside your team's charter
- Redesign pricing pages around discoverability, desirability and doability
- Define product-led growth as product first, humans as backstop
Lenny's Podcast · Aug 6Velocity over everything: How Ramp became the fastest-growing SaaS startup ever | Geoff Charles
Ramp's VP of Product explains how a small team built competing products in months by using single-threaded teams, context over control, and almost no planning or status overhead. The result is a company that passed $100 million in annual revenue within two years with about 50 people in R&D.
- Give each big bet a single-threaded team with one goal
- Build protective layers so core teams never handle bugs or escalations
- Align on goal, hypothesis and data, not on the solution
July 20235
Lenny's Podcast · Jul 27The ultimate guide to A/B testing | Ronny Kohavi (Airbnb, Microsoft, Amazon)
Ronny Kohavi explains how to run trustworthy A/B tests, set the right success metric, and build an experiment culture, drawing on Bing, Amazon, Microsoft and Airbnb. A two-line ad title change at Bing raised revenue by about 12 percent (worth over $100 million), yet 66 to 92 percent of experiments fail across his career.
- Expect most experiments to fail and plan for it
- Check sample ratio mismatch before trusting any experiment result
- Investigate any result that looks too good to be true
Lenny's Podcast · Jul 23The 10 traits of great PMs, AI, and Slack’s approach to product | Noah Weiss (Slack, Google)
Noah Weiss shares how Slack builds product: shared principles, complaint storms, customer love sprints, pilot programs, and an activation metric that predicts upgrades. He also explains how Slack restarted a plateaued self-serve business and doubled its new paid customer growth.
- Define an activation metric that predicts upgrades, not just paid customers
- When self-serve plateaus, throw out the roadmap and optimize for learning
- Diagnose new-audience growth problems with comprehension and desirability
Lenny's Podcast · Jul 16LinkedIn’s product evolution and the art of building complex systems | Hari Srinivasan (LinkedIn)
Hari Srinivasan explains how LinkedIn runs a tangled set of marketplaces around one North Star, and how that shapes skills-first hiring, decision rules, and PM career advice. The result worth hearing: about 47% of recruiters now explicitly search by skills, a shift that began as a COVID-era fix for mismatched labor markets.
- Anchor every product decision to a single North Star
- Translate experience into skills to rebalance a stalled marketplace
- Pick a single named decision-maker using RAPID
Lenny's Podcast · Jul 13M&A, competition, pricing, and investing | Julia Schottenstein (dbt Labs)
Julia Schottenstein explains how to prepare for M&A, handle competition, set pricing and open source boundaries, and ship fast, using dbt Labs as the example. dbt is used by 20,000 companies every week, and she led the acquisition of Transform.
- Pick two or three strategic buyers and make them notice you
- Never shut the door on incumbents or potential buyers
- Build an independent company first, so you hold the upper hand in M&A
Lenny's Podcast · Jul 2Building minimum lovable products, stories from WeWork & Airbnb, and thriving as a PM | Jiaona Zhang
Product leadership lessons from Dropbox, Airbnb, WeWork and Webflow: build minimum lovable products, roadmap with stories instead of spreadsheets, set ambitious OKRs, and double down on why people love you. It also covers why Airbnb Plus failed on solution-first thinking and unit economics, and how to run a first 90 days.
- Start from user problems, not the solution you want to build
- Build a minimum lovable product with fewer features done with high polish
- Check unit economics at the start instead of assuming scale fixes them
June 20232
Lenny's Podcast · Jun 25Lessons from scaling Ramp | Sri Batchu (Ramp, Instacart, Opendoor)
Ramp's head of growth explains how a data- and technology-driven growth system, a velocity culture and a few simple metric rules powered Ramp to $100M run rate in two years and 4X growth in the following year. He covers North Star metrics, payback period, conclusive experiments, channel sequencing for B2B and hiring.
- Measure channels by payback period on contribution margin, not CAC
- Build a translation layer that converts every team's metric into one North Star
- Use one volume metric and one efficiency metric as growth success metrics
Lenny's Podcast · Jun 15Leveraging growth advisors, mastering SEO, and honing your craft | Luc Levesque (Shopify, Meta)
Luc Levesque explains how to hire world-class talent, structure and compensate growth advisors, and approach SEO as a growth channel, including what AI search will change. A single advisor conversation can produce lifts of hundreds of percent, sometimes over a thousand percent.
- Structure advisor equity with front-loaded vesting and a three month cliff
- Hire an internal SEO owner first, then add advisors, agencies last
- Give SEO three to twelve months and expect quick wins on existing pages
May 20235
Lenny's Podcast · May 28The power of strategic narrative | Andy Raskin
A five-step story structure replaces the problem-and-solution pitch with a pitch about a shift in the world, and the CEO uses that one story across sales, marketing, product, fundraising and recruiting. Examples from Salesforce, Zuora, Gong, Drift and 360Learning show it lifting teams out of feature comparisons.
- Pitch a shift from an old game to a new game
- Avoid the arrogant doctor pitch of problem, treatment and why you're better
- Name the old game and the new game in a few concise words
Lenny's Podcast · May 21The science of product, big bets, and how AI is impacting the future of music | Gustav Söderström
Spotify's product chief explains how to design UIs around the real hit rate of machine learning, where to place autonomy in an org, and how to treat a big redesign as a scientific hypothesis. He walks through Spotify's home feed redesign, where a 90% recall, 10% discovery page flipped to 10% recall, 90% discovery and drew backlash, which led to a revised test that kept recall intact.
- Design the UI around your model's actual hit rate
- Keep recall and discovery separate in your home screen
- Match the recommendation's required hit rate to the context
Lenny's Podcast · May 18Lessons on product sense, AI, the first mile experience, and the messy middle | Scott Belsky (Adobe)
Scott Belsky explains how to build product sense through customer empathy, why the first 30 seconds of a product decide so much, and why teams should ship only half of what they plan. He also covers how AI will widen the options product teams can explore and how to decide whether to push through the messy middle or quit.
- Invest heavily in the first mile of onboarding, orientation and defaults
- Cut your planned features, options and market in half
- Build only the features that block users from caring, and optimize for good problems
Lenny's Podcast · May 14Frameworks for product differentiation, team building, and first principles thinking | Ayo Omojola
Ayo Omojola explains how Cash App broke through against Venmo by being different, better and important to users, and shares his rules for small teams, hiring founders, and going deep on details. Cash App grew from under 50K actives to over 50 million monthly actives, and the Cash Card became a nine-figure revenue line.
- Pick one differentiator that cuts through the clutter, like speed
- Test every idea for being different, better, and better in a way users value
- Stack many best-in-class advantages instead of hunting for one silver bullet
Lenny's Podcast · May 7Mastering paid growth | Jonathan Becker (Thrive Digital)
Paid growth works best as one part of a diversified channel mix, run with rigorous creative testing, lead scoring tied to revenue, and attribution that never relies on a single source of truth. Thrive has deployed over $3.5 billion in paid budgets for Uber, Asana, Square and MasterClass, so the playbook comes from real scale.
- Test ad creative by changing one variable between two near-identical ads
- Score leads by downstream revenue instead of chasing the lowest cost per lead
- Diversify channels so no single paid channel drives your whole business
April 20235
Lenny's Podcast · Apr 30How to achieve hypergrowth in your business and career | Carilu Dietrich (Atlassian)
Carilu Dietrich explains what hypergrowth companies share (a product people love, built-in virality, leaders who can scale ahead of the company) and how Atlassian grew with minimal sales spend and heavy product investment. She also covers when to hire sales, why bundling hurts product-led growth, and how to pick a company that will accelerate your career.
- Put sales and marketing dollars into product and engineering instead
- Delay net-new sales prospecting and sell first to existing customers
- Land with a single product instead of a bundle in product-led growth
Lenny's Podcast · Apr 23The ultimate guide to product-led sales | Elena Verna
Product-led sales (PLS) turns self-serve usage into enterprise pipeline by flagging product qualified accounts, finding the buyer outside the user base, and making product accountable for monetization. Elena shares the signals, team setup, and benchmarks she used at Miro, Amplitude, Netlify and MongoDB, including seven or more users per account as a common sales trigger.
- Make product accountable for pipeline, not just marketing and sales
- Define a product qualified account from users, volume and velocity
- Alert sales on admin changes and terms of use page visits
Lenny's Podcast · Apr 20An inside look at how Miro builds product | Varun Parmar (CPO of Miro)
Miro's CPO explains how a roughly 50-PM product org stays fast and high quality in a crowded collaboration market, through cross-functional AMPED teams, cycle-time tracking, a rolling roadmap and open-floor demo rituals. It also covers how Miro grows through product-led loops, templates and a sales motion layered on top.
- Build every product team as cross-functional AMPED, including analytics and product marketing
- Run a design sprint to validate new concepts in five days
- Track cycle time per stage and benchmark teams against small, medium and large sizes
Lenny's Podcast · Apr 9Product lessons from Waymo | Shweta Shrivastava (Waymo, Amazon, Cisco)
Waymo's product lead explains how a fully driverless service builds rider trust through predictable, human-like behavior, and how it balances safety metrics against commercial ones. She also shares general product lessons on working backwards, saying no, disrupting yourself, listening, and getting promoted.
- Pair safety metrics with progress metrics so neither one gets gamed
- Design the product to feel predictable so users trust it quickly
- Build trust from many small transparency touches, not one big feature
Lenny's Podcast · Apr 2The ultimate guide to adding a PLG motion | Hila Qu (Reforge, GitLab)
A step-by-step guide to adding a product-led growth motion on top of a sales-led business: audit the funnel, start with activation, build a data foundation, and staff a growth squad. Hila Qu draws on scaling PLG at GitLab and taking Acorns from 1 million to 5 million users.
- Treat PLG as data-led growth and build usage data first
- Find your aha moment by correlating candidate actions with conversion and retention
- Define activation around team behavior for collaborative products
March 20235
Lenny's Podcast · Mar 30Thinking beyond frameworks | Casey Winters (Pinterest, Eventbrite, Airbnb, Tinder, Reddit, Grubhub)
Casey Winters explains how to avoid being a framework-following product manager, when to trust founder intuition versus team expertise, how the three types of network effects work, and why consumer subscription startups are so hard. The Grubhub story shows how a network effect that looked unbeatable was undone by a disruptor that expanded selection with a business model the incumbent could not afford to copy.
- Reserve user research for high-uncertainty, high-leverage problems; otherwise ship and learn
- Assume the disruptor is right and overreact to existential threats
- Aim for annual retention above 60 to 70 percent in consumer subscription
Lenny's Podcast · Mar 26Taxi mafias, cash vaults & 100% MoM growth: The story of SEA’s biggest startup | Kevin Aluwi (Gojek)
Kevin Aluwi explains how Gojek beat far better funded rivals in Indonesia through brand, operational scrappiness and a willingness to do hard things, and why super apps are overrated. Gojek grew over 100% month on month for 16 to 18 months and became Indonesia's largest IPO at a valuation of about $27 to 28 billion.
- Give every service in a multi-product app one unifying concept
- Do not assume a super app lowers acquisition cost or lifts retention
- Turn your branded physical assets into visible proof of your service
Lenny's Podcast · Mar 19Competing with giants: An inside look at how The Browser Company builds product | Josh Miller (CEO)
Josh Miller explains how The Browser Company builds Arc by optimizing for feelings over metrics, hiring for heartfelt intensity, and running odd, prototype-driven teams. The result is a browser with 10%+ weekly growth for about eight months and D5/D7 retention in the low 30s to low 40s that keeps improving cohort by cohort.
- Track one metric that captures retention, engagement and growth together
- Judge retention by cohort-over-cohort improvement, not by absolute numbers
- Name the feeling you want users to have before building a feature
Lenny's Podcast · Mar 9Career frameworks, A/B testing, onboarding tips, selling to engineers | Laura Schaffer (Amplitude)
Laura Schaffer explains how to run growth experiments that account for user psychology, why to validate cheaply and iteratively, and how to sell to developers and add self-serve to a sales-led company. Her Twilio experiments included signup questions that lifted conversion by 5 percent and a quick-deploy feature that generated tens of millions of dollars in pipeline.
- Add signup questions that reassure users instead of assuming all friction hurts
- Design onboarding around the user's psyche at each stage
- Bury the scary step inside a familiar experience, like a pill in a hot dog
Lenny's Podcast · Mar 2Lessons from working with 600+ YC startups | Gustaf Alströmer (Y Combinator, Airbnb)
Drawing on work with 600+ YC startups, Gustaf explains why startups fail (mostly because they don't talk to customers or lack technical founders) and what the strongest founders do differently. He also lays out why climate tech is now a real business, with YC funding 130+ climate companies.
- Talk to 25 to 50 potential customers before building much
- Watch customers do their work instead of asking about problems
- Ask founders what is holding them back from moving faster
February 20234
Lenny's Podcast · Feb 26Behind the scenes of Calendly’s rapid growth | Annie Pearl (CPO)
Annie Pearl explains how Calendly narrowed its target personas, structured product teams, planned against a clear strategy, and layered a sales motion on top of product-led growth. Calendly's viral loop drives 70% of signups, and sales-led growth went from nothing to about 20% of ARR in two years while becoming its fastest growing segment.
- Narrow your product to a few target personas and say no
- Write a product strategy that answers where you will play and how you will win
- Allocate team resources across strategy horizons and shift the split yearly
Lenny's Podcast · Feb 1910 lessons on bootstrapping a $200m business | Patrick Campbell (ProfitWell)
Patrick Campbell covers ten topics from bootstrapping ProfitWell to a $200 million sale: pricing cadence, tactical retention, shipping tempo, customer research, local sales and middle-of-funnel strategy. The result is a set of concrete benchmarks and routines, such as pricing metrics that double expansion revenue and cancellation flows that recover churn.
- Charge with a value metric so expansion happens automatically
- Ask two multiple-choice questions in your cancellation flow
- Fix tactical retention: payment failures, term optimization and offboarding
Lenny's Podcast · Feb 12Mastering onboarding | Lauryn Isford (Head of Growth at Airtable)
Lauryn Isford explains how Airtable rebuilt onboarding around a guided wizard, a stricter activation metric and a clear PLG funnel. The work produced a 20% lift in activation rate over about six to eight months.
- Replace generic tooltips with a guided wizard for complicated products
- Pick an activation metric that only 5 to 15 percent of users reach
- Break your activation metric into its component steps
Lenny's Podcast · Feb 5AI and product management | Marily Nika (Meta, Google)
Explains how product managers can start using and building AI: start from a real problem, fake the AI in an MVP, work closely with research scientists, and learn enough coding or no-code tooling to understand the tools. Her three-week course turned PMs with no coding background into builders, including a team that trained an X-ray classifier and another pair that raised funding.
- Start from a real user problem, not from AI itself
- Fake the AI in an MVP with a Figma prototype
- Use ChatGPT to rewrite your mission statement after drafting your own
January 20236
Lenny's Podcast · Jan 29Lessons from Airtable’s unconventional growth strategy | Zoelle Egner
Zoelle Egner explains how Airtable, with about 15 to 50 people, punched above its weight through polish, trust signals, hands-on customer success and champion building. Airtable grew inside companies from 10 to 1,000 people in a year and sold six-figure deals, and she also covers what to skip, such as sponsorships, category creation and PR for its own sake.
- Talk to new signups early to find and build champions
- Invest in customer success before sales and actually act on what it learns
- Turn customer success insights into templates, content and a repeatable conveyor belt
Lenny's Podcast · Jan 26An inside look at Mixpanel’s product journey | Vijay Iyengar
Mixpanel's head of product explains why the company cut its messaging and data infrastructure products to refocus engineering on core product analytics, and how it plans, prioritizes and stays close to customers. The refocus took retention from about 60 to 90 and NPS from 16 to 50.
- Keep your whole engineering team on the core product when churn rises
- Build your roadmap from churn reasons ranked by ARR
- Fund new product lines with core profits, not by moving people
Lenny's Podcast · Jan 22How to nail your product positioning | April Dunford (Obviously Awesome)
A step-by-step method for B2B product positioning: start with competitive alternatives, find differentiated value, then pick best-fit customers and a market category, and turn it into a sales story. It comes from April Dunford's work on positioning with about 200 companies, and shows why most weak positioning is a team alignment problem rather than a wording problem.
- Start positioning by listing what you must beat to win a deal
- Follow the five-step order: alternatives, capabilities, value, best-fit customers, market category
- Derive value from capabilities alternatives lack, not from team opinions
Lenny's Podcast · Jan 19How to build your product strategy stack | Ravi Mehta (Tinder, Facebook, Tripadvisor, Outpace)
Ravi Mehta explains his product strategy stack (mission, company strategy, product strategy, roadmap, goals), the frontier of understanding for setting goals, and how to lead product teams. His Tinder and Tripadvisor examples show how strategy resolves prioritization fights and how talking to users overturned a wrong assumption about big spenders.
- Debug missed goals by walking the strategy stack from the bottom up
- Set goals by risk type: understanding, dependency, execution, then strategic
- Make the strategy doc incomplete without wireframes
Lenny's Podcast · Jan 12How to price your product | Naomi Ionita (Menlo Ventures)
Naomi Ionita explains how to find, test and revisit pricing: when to start charging, how to segment plans by value, and how to run pricing research and experiments. She backs it with results such as doubling the upgrade rate while raising price about 30 percent at invoice2go and Envoy's 10x price test.
- Split premium features into day one and day 100 features
- Ask for far more than you think in enterprise deals
- Treat guilt as a signal your free plan is too generous
Lenny's Podcast · Jan 8An inside look at how Figma builds product | Yuhki Yamashita (CPO of Figma)
Figma's CPO explains how the company keeps product quality high through storytelling, owning the why, staying close to the community, and using its own product everywhere. He also walks through Figma's messy OKR experiments and how community-led growth works in practice.
- Make your whole company use your product daily, even for non-product work
- Judge every goal on legibility, actionability and authenticity
- Start goals with a plain headline, then add measurement later
December 20225
Lenny's Podcast · Dec 18Launching and growing a podcast | Chris Hutchins (All the Hacks, Wealthfront, Google)
Chris Hutchins explains how to launch and grow a podcast, from picking a topic and launching with momentum to clips, guest pitching, paid tests and tooling, plus lessons from running big product bets at Wealthfront. He built All the Hacks into a top-ranked business podcast in about 18 months and went full time on it.
- Launch with several episodes at once to spike the Apple charts
- Use a podcast as a reason to invite smart people for an hour
- Only start a podcast you would do for free for months
Lenny's Podcast · Dec 15Founder-led sales | Pete Kazanjy (Founding Sales, Atrium)
B2B founders should sell themselves until they have a repeatable sales motion, then package it for a few junior sellers before scaling. The episode gives concrete thresholds (15 to 25 percent win rate, 50 to 100 at bats) and leading indicators for knowing when to hire and whether a hire is working.
- Sell to your first 20 to 30 customers yourself before hiring
- Hire your first seller only after a 15 to 25 percent win rate
- Run sales attempts in cohorts of about 10 and iterate between them
Lenny's Podcast · Dec 11How Notion leveraged community to build a $10B business | Camille Ricketts
Camille Ricketts explains how Notion turned passionate users into a growth engine through ambassadors, creators, templates and champions, and how to build content that finds its audience. Notion grew from employee number 11 to about 400 people and a roughly $10 billion valuation, with community a major part of its discovery and enterprise growth.
- Seed an ambassador program with your 20 most vocal fans
- Do not force community metrics early; protect organic enthusiasm first
- Grow your community slowly, inducting about 20 people a month
Lenny's Podcast · Dec 8The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher)
Pricing should be tested before the product is built: willingness to pay conversations, segmentation, pricing model choice, benefit-led messaging and behavioral pricing all shape what gets built and what it earns. Examples include Porsche's Cayenne, which became more than half of the company's profit, and a SaaS packaging reframe that lifted MRR and ARPU by 30 plus percent with no product changes.
- Hold willingness to pay conversations before building, and repeat them as you go
- Prioritize your roadmap by willingness to pay, not by internal opinion
- Ask pricing questions in relative terms, not 'how much should I charge'
Lenny's Podcast · Dec 1The ultimate guide to SEO | Ethan Smith (Graphite)
A full guide to SEO: when it is worth investing in, the three buckets (programmatic, editorial, technical), how to plan by topics instead of keywords, and how to hire and test. Ethan Smith's work with MasterClass, Thumbtack and others shows how topical authority and internal links drive large traffic gains, including a 300% lift from adding internal links in 2007.
- Spread internal links so every page has at least 5 to 10
- Place internal links in the page body, not the footer
- Plan content by topic, not by individual keyword
November 20223
Lenny's Podcast · Nov 17Leaving big tech to build the #1 technology newsletter | Gergely Orosz (The Pragmatic Engineer)
Orosz explains how six years of consistent blogging let him launch a paid engineering newsletter that hit 1,000 paid subscribers in six weeks, and how he structures a solo creator business. He now earns more than his roughly $320-330K peak compensation at Uber, with about 189,000 subscribers.
- Publish consistently for years before launching a paid newsletter
- Create external deadlines and commitments so you actually ship
- Pick topics others have not covered when charging for content
Lenny's Podcast · Nov 13An inside look at how the New York Times builds product | Alex Hardiman (CPO, the New York Times)
Explains how the New York Times builds product around a subscription bundle, with editors embedded in product teams and journalism and software built together. Shows how the Times targets 15 million subscribers by 2027 (just over 9 million today) and how it integrated Wordle without breaking what players loved.
- Anchor a subscription bundle on one core product, then add satellites
- Size the addressable market before choosing which categories to invest in
- Organize teams on two axes: functions for craft, missions for shipping
Lenny's Podcast · Nov 6How Snyk built a product-led growth juggernaut | Ben Williams (VP of Product at Snyk)
Ben Williams explains how Snyk grew from a narrow node.js community play into a product-led growth and product-led sales business, and how its growth, product and data teams are set up. He also covers the early self-serve monetization attempt that failed, and Snyk reached an $8.5 billion valuation with over 2,000 paying customers.
- Start with one narrow persona, context and use case
- Design company-generated content loops into the product from the start
- Build a free programmatic SEO sidecar product from data you already have
October 20225
Lenny's Podcast · Oct 30Building Substack | Sachin Monga (Substack, Facebook)
Substack's head of product explains how the team is organized around timeless customer problems, how a guiding principle of control for writers and readers shaped the recommendations feature, and how to work with a hands-on founder as the company grows. Recommendations now drive millions of new subscriptions, and more than one in three new Substack subscriptions come from the network.
- Let writers recommend other writers instead of using an algorithm
- Break ties between product options by choosing the one that gives users more control
- Spot organic user behavior and formalize it into a feature
Lenny's Podcast · Oct 27Category creation and brand building | Barbra Gago (Pando, Miro, Greenhouse, Culture Amp)
Barbra Gago explains when to create a new product category versus compete in an existing one, how to run a rebrand, and why to build opinionated software. She draws on creating the visual collaboration category at Miro, a failed category attempt at Greenhouse, and the Real-time Board to Miro rebrand done in about five months.
- Check budget, customer language and competitors before creating a new category
- Abandon a category repositioning that is not sticking, and elevate the existing one
- Build the category name from how customers already describe your product
Lenny's Podcast · Oct 13How to build a high-performing growth team | Adam Fishman (Patreon, Lyft, Imperfect Foods)
Teaches how to hire and evaluate growth people with a four-part competency model, how to get the most out of onboarding, and how to judge a company before joining. Backed by Adam's results at Lyft and Patreon, including a 25 percent lift in creator revenue from onboarding work and 10 to 20 point shifts in retention curves.
- Hire growth leaders against four competency buckets instead of pattern matching
- Hire a junior growth person for customer knowledge and execution first
- Default to promoting internally when making a first growth hire
Lenny's Podcast · Oct 9Developing a growth model + marketplace growth strategy | Dan Hockenmaier
Dan Hockenmaier explains how to build a growth model that shows which levers matter, then covers how to measure, grow and expand a marketplace. He has built 20 to 30 growth models and worked on more marketplaces than almost anyone, and his Thumbtack model shifted resources from top of funnel to retention.
- Build your own growth model in a spreadsheet, don't borrow a template
- Use the growth model as a common currency for planning
- Give each team a mini model for its own North Star metric
Lenny's Podcast · Oct 2Using behavioral science to improve your product | Kristen Berman (Irrational Labs)
Kristen Berman explains the 3B framework (behavior, barriers, benefits) and shows how behavioral diagnosis, immediate benefits and added friction change user behavior. Her team cut misinformation shares on TikTok by 24%, raised One Medical onboarding bookings by 20%, and showed a heavily requested budgeting feature moved spending by zero.
- Define the target behavior uncomfortably specifically, and never use login
- Test a requested feature with a cheap experiment before building it
- Run a behavioral diagnosis by mapping every step to the target behavior
September 20226
Lenny's Podcast · Sep 29Customer-led growth | Georgiana Laudi (Forget The Funnel)
Gia explains a customer-led growth process: learn from your best recent customers, pick one customer job, map value milestones with a KPI each, then fix the experience where it breaks. Applying it to a social media tool lifted website conversion 89% and trial-to-paid 40%, and SparkToro doubled trial-to-paid.
- Interview or survey your best customers from the last three to six months
- Fix positioning and messaging to attract better-fit customers before touching onboarding
- Pick one customer job using willingness to pay, urgency, retention and your unfair advantage
Lenny's Podcast · Sep 22Why product-led growth is the future | Elena Verna (Amplitude, Miro, Surveymonkey)
Elena Verna explains how B2B companies should layer product-led growth and sales rather than pick one, why freemium beats time-boxed trials, and how to hire a first growth lead. Her pattern matching comes from running growth at SurveyMonkey, Miro, Netlify and Amplitude and advising companies like MongoDB.
- Layer product-led and sales-led motions instead of choosing one or switching
- Nail product-led retention before attempting product-led acquisition
- Keep investing in product-led growth after you move upmarket to enterprise
Lenny's Podcast · Sep 15When to invest in new acquisition channels | Adam Grenier (Uber, MasterClass)
Adam Grenier gives a three-part framework for deciding whether to invest in an emerging acquisition channel, explains what a growth CMO does differently from a traditional CMO, and shares how to tell exhaustion from depression. It is worth hearing for concrete rules on team size and time limits for channel tests, and for his advice to restart from zero on product market fit when the market shifts.
- Check that a channel's strengths match your customer needs and goals
- Cap new channel tests at one quarter and look for direction
- Staff new channel tests minimally and scale only when magic appears
Lenny's Podcast · Sep 11How to build a powerful marketing machine | Emily Kramer (Asana, Carta, MKT1)
Teaches how to decide what marketing hire a startup needs using a fuel and engine framework, and how product and marketing teams can work together with clear ownership and impact goals. Comes from someone who was the first marketer at four startups, including Asana and Carta, and now helps founders build marketing functions.
- Diagnose marketing needs as fuel versus engine before hiring anyone
- Hire your first marketer for business model experience, not industry experience
- Hire a pi-shaped first marketer: expert in one area, proficient in another
Lenny's Podcast · Sep 4The role of AI in new product development | Ryan J. Salva (VP of Product at GitHub)
Ryan Salva explains how GitHub Copilot went from a research prototype built on a snapshot of public code to a general-availability product in about a year and a half. He covers how to run a moonshot team inside a large company, hand it to a product team, and handle the ethics and scaling problems of an AI product.
- Ring-fence a separate team for horizon two and three moonshots
- Move a prototype to the product team once real customers confirm it
- Use technical preview buzz as the signal to scale the team
Lenny's Podcast · Sep 1How to grow a subscription business | Yuriy Timen (Grammarly, Canva, Airtable)
Yuriy Timen explains how to pick a growth engine for a subscription product (virality, SEO or paid), how to judge when a channel has had a fair test, and how funding conditions change which channels make sense. He gives concrete benchmarks such as 5 to 7 percent free to paid conversion, 2 to 4x activation gains from onboarding, and sub-six-month paid payback.
- Only invest in virality if network effects exist from day one
- Vet SEO with three checks: editorial gap, programmatic angle, unique data
- Buy a $5 to 10k SEO audit before committing to an agency
August 20223
Lenny's Podcast · Aug 21The nature of product | Marty Cagan, Silicon Valley Product Group
Explains how real product teams differ from feature teams, why companies lose their product mojo as they grow, and what a team or PM can do this quarter to start working like the best. The result worth hearing is a practical playbook, including the three access rights every PM must protect, drawn from practices seen at the best product companies.
- Give teams problems to solve, not a roadmap of features
- Protect the PM's direct access to customers, engineers and stakeholders
- Turn a requested feature into a problem by asking how success is measured
Lenny's Podcast · Aug 18The art of building legendary brands | Arielle Jackson (Google, Square, First Round Capital)
Arielle Jackson explains how to name a startup, build a brand from purpose, positioning and personality, and earn early press. She has named over 30 companies and worked with 100+ early-stage startups, and says a full brand strategy can be done in about three weeks.
- Write your product positioning before naming, branding, or writing any code
- Run a one-hour naming brainstorm with five to seven people in two parts
- Score name candidates red, yellow, green on seven criteria, then keep three to five
Lenny's Podcast · Aug 7How to launch and grow your product | Ryan Hoover of Product Hunt and Weekend Fund
Ryan Hoover explains how to launch a product, why to pick a narrow audience, how to find startup ideas, and what he would change about building Product Hunt. He shares hard lessons such as waiting too long to make revenue and never delegating, and how he invests across 110+ companies.
- Write your tagline the way you describe it to friends
- Use the launch gallery as a visual slideshow that tells a story
- Start making revenue early, even if growth is the priority
July 20222
Lenny's Podcast · Jul 31How to scrappily hire for, measure, and unlock growth | Crystal Widjaja, Gojek and Kumu
Crystal Widjaja explains how she grew Gojek and Kumu with scrappy tests, targeted levers, and analytics built to produce insights instead of dashboards. She shares retention benchmarks, an instrumentation approach, and a hiring process for the first growth person, and notes that Gojek's driver-led GoPay cross-sell drove about 60% of acquisition.
- Turn your existing staff or partners into a sales channel
- Aim for 60% week-one retention on free products, 20 to 30% on paid
- Add properties to every tracked event so you can ask why
Lenny's Podcast · Jul 28How to create a winning product strategy | Melissa Perri
Melissa Perri explains how to spot a missing product strategy, write one down in two-page memos, and connect team work to business goals. She draws on training over 4,000 PMs and working with 30+ companies in deep consulting.
- Ask every team what they work on and why
- Write a two-page strategy memo and link it to team memos
- Test your strategy by checking that every team tells the same story