Lenny’s Podcast109 min
Jeetu Patel · Feb 26, 2026
Key learnings- Distinguish a megatrend from a hype cycle: don't fight real megatrends like AI, and avoid vanity work chasing hype.
- Before investing, ask whether you have 'permission to play' and a route to mass distribution; otherwise dollars spent on product…
- Make bold bets clear and go all in once an experiment works, rather than hedging, while aligning individual success with the…
Product Talk · Teresa TorresFeb 24, 2026
Feb 24, 2026
Teresa Torres and Petra Wille examine the blurred line between product and engineering, where product managers drift into owning bugs, tech debt and architecture. They argue this starts as helpfulness but leads to PM…
Lenny’s Newsletter♥ 739
Feb 24, 2026 · 22 min
Subscriber post — summary onlyLenny Rachitsky and researcher Noam Segal interviewed over 30 tech professionals about using AI in job hunts and found the strongest candidates built personal feedback loops with AI. The post packages those techniques…
Product Talk · Teresa TorresFeb 19, 2026
Feb 19, 2026 · 3 min
This podcast episode features ShowMe's co-founders discussing how they build AI digital sales reps for inbound teams, treating agents as full teammates that run voice and video calls, demo products, and follow up over…
Lenny’s Podcast131 min
Boris Cherny · Feb 19, 2026
Key learnings- Ship with minimal scaffolding and let the model choose tools and order of operations, rather than boxing it into rigid workflows…
- Watch how people hack your product for purposes it wasn't designed for; that latent demand, like data scientists using a terminal…
- Bet on the more general model over time instead of fine-tuning or tiny models, since scaffolding gains of 10-20% often vanish…
Product Talk · Teresa TorresFeb 18, 2026
Feb 18, 2026 · 5 min
Teresa Torres announces an expanded partnership with Vistaly to bring AI-assisted discovery tools into its opportunity solution tree platform. The core problem she describes is that many teams conduct customer…
Product Talk · Teresa TorresFeb 17, 2026
Feb 17, 2026
This podcast episode, hosted by Teresa Torres with guest Petra Wille, argues that product leaders are stretched thin by shrinking headcount, AI disruption, and constant context switching, and that they tend to…
Lenny’s Newsletter♥ 421
Feb 17, 2026 · 26 min
Subscriber post — summary onlyCaitlin Sullivan, a user-research practitioner, explains four recurring ways AI-generated customer analysis goes wrong: invented or blended quotes, generic insights, signal that doesn't guide decisions, and missed…
Lenny’s Podcast98 min
Brian Halligan · Feb 15, 2026
Key learnings- Overrate less your gut feeling in interviews; rely on blind references and ask pointed questions like how likely you would be to…
- Prefer spiky candidates with visible weaknesses who will challenge you over polished candidates with the fewest weaknesses, and…
- Be cautious hiring executives straight from big companies; they often have mismatched expectations and high attrition in scaling…
Lenny’s Podcast105 min
Sherwin Wu V2 · Feb 12, 2026
Key learnings- Build for where models are going rather than where they are today, since products that are almost-working now can become…
- Treat fast-changing AI scaffolding skeptically: models often absorb tooling like vector stores and agent frameworks, so avoid…
- Don't blindly follow customer feature requests in AI; customers may anchor on local maxima while the underlying models are…
Product Talk · Teresa TorresFeb 11, 2026
Feb 11, 2026 · 3 min
Teresa Torres explains that she began building AI products with no team to lean on, and that hands-on work with Claude Code is how she and other product people are building the skills needed for AI product work. She…
Product Talk · Teresa TorresFeb 10, 2026
Feb 10, 2026 · 3 min
Teresa Torres and Petra Wille discuss moving from Claude in the browser to Claude Code running on a local machine, where it can work directly with files and workflows. They cover practical setup such as project…
Lenny’s Newsletter♥ 252
Feb 10, 2026 · 18 min
Subscriber post — summary onlyMarily Nika, a former AI PM at Google and Meta, presents a weekly ritual for building AI product sense: probing a model with messy, ambiguous, and difficult inputs to map failure modes before users do. She argues PMs…
Lenny’s Podcast123 min
Lazar Jovanovic · Feb 8, 2026
Key learnings- Start a project with several parallel attempts (brain dump, typed prompt, design reference, code template) to find the strongest…
- Spend most of your time planning and chatting with the AI rather than executing, since clarity matters more than raw build speed.
- Write a set of source-of-truth docs (master plan, implementation plan, design guidelines, user journeys, tasks.md) so the agent…
Product Talk · Teresa TorresFeb 5, 2026
Feb 5, 2026
Teresa Torres interviews the co-founders of Earmark, a productivity suite that runs multiple AI agents during live meetings to produce finished artifacts such as specs, tickets, and prototypes rather than passive…
SVPG · Marty CaganFeb 4, 2026
Feb 4, 2026 · 9 min
Marty Cagan argues that the scarcest resource for product people is effective coaching, since most managers lack the time or skill to provide it, and that foundation AI models configured with good instructions and…
Substack · Shreyas Doshi♥ 86
Feb 4, 2026
The essay challenges the common assumption that publicly expressed vulnerability signals humility. The excerpt, which is cut off early, suggests the author will argue that vulnerability performed with a veneer of…
Product Talk · Teresa TorresFeb 4, 2026
Feb 4, 2026 · 9 min
Teresa Torres explains "context rot," the pattern where large language model performance degrades as the context window fills up with conversation history and input. Drawing on recent research (Liu et al. 2023, Paulsen…
Product Talk · Teresa TorresFeb 3, 2026
Feb 3, 2026
Teresa Torres and Petra Wille examine why hiring processes often fail product teams despite their rigor. They describe how AI-inflated application volumes, longer funnels, and many stakeholders create noise, and how…
Lenny’s Newsletter♥ 578
Feb 3, 2026 · 34 min
Subscriber post — summary onlyTal and Aman argue that the fastest way to build intuition for AI products is to use coding agents like Cursor for non-technical product work rather than consumer chat tools. The post walks readers through setup, model…
Product Talk · Teresa TorresFeb 2, 2026
Feb 2, 2026 · 6 min
This post is a monthly reading guide for a book club celebrating the fifth anniversary of Continuous Discovery Habits, focused on Chapter 3 about outcomes versus outputs. It frames the chapter's core idea: product teams…
Lenny’s Podcast131 min
Dr. Becky Kennedy · Feb 1, 2026
Key learnings- Repair after a mistake, by owning your part and naming what you'll do differently, rebuilds trust; perfection is not the goal…
- Connect before correcting: join the other person's world first without an agenda, since connection builds the bridge that makes…
- Separate behavior from identity by assuming someone is good inside, which keeps conversations productive and makes defensiveness…
Lenny’s Podcast153 min
Marc Andreessen · Jan 29, 2026
Key learnings- Expect AI to make already-skilled people far more capable; the gains are largest for those who pair deep expertise with AI tools.
- Rather than fearing job loss, focus on task loss: jobs persist while the individual tasks composing them shift, which is how…
- Combine at least two or three domains deeply (e.g., coding, product, design); the combination of skills creates far more value…
Substack · Shreyas Doshi♥ 43
Jan 28, 2026
Shreyas Doshi argues that when two highly competitive, ego-driven product managers must negotiate with each other, the outcome tends to be poor for everyone involved. The piece frames this as a recurring pattern in some…
Product Talk · Teresa TorresJan 27, 2026
Jan 27, 2026 · 3 min
Teresa Torres and Petra Wille examine the build vs. buy decision, which AI is reshaping. They argue the classic rule of thumb, to avoid building non-core functions, has limits, since vendors may be better positioned…
Lenny’s Podcast145 min
Jason Cohen · Jan 25, 2026
Key learnings- Compute your growth ceiling: new customers added per month divided by monthly cancellation rate gives the maximum customer count…
- Ask 'what made you cancel?' rather than 'why did you cancel?' and use open-ended responses, since multiple-choice lists skew…
- Be skeptical of 'too expensive' as a cancellation reason; customers who already bought didn't find the price too high, so dig…
Product Talk · Teresa TorresJan 22, 2026
Jan 22, 2026
This episode of Just Now Possible features three leaders from Healio, a 125-year-old medical publisher, discussing how they built Healio AI, an assistant helping physicians prepare for patient care. The core argument is…
Product Talk · Teresa TorresJan 21, 2026
Jan 21, 2026 · 20 min
Teresa Torres walks non-specialists through how large language models like ChatGPT, Claude, and Gemini turn a prompt into a response, without assuming any machine learning background. She organizes the explanation…
Product Talk · Teresa TorresJan 20, 2026
Jan 20, 2026
This podcast episode, hosted by Teresa Torres with co-host Petra Wille, previews the 2026 Product at Heart conference. The hosts explain that curating a single-track event is harder when AI moves so quickly, so AI will…
Lenny’s Newsletter♥ 297
Jan 20, 2026 · 20 min
Subscriber post — summary onlyColin Matthews explains that ChatGPT apps let third-party tools surface interactive widgets inside conversations, creating a potentially major distribution channel. The post covers how users discover apps contextually…