Lenny’s Podcast110 min
Jason Droege · Oct 9, 2025
Key learnings- Model improvement now relies heavily on experts (80% of Scale's expert network holds a bachelor's or higher) defining what good…
- Enterprise AI pilots that reach 60-70% accuracy feel close, but robust automation of important processes often takes 6-12 months…
- Validate a new business by checking whether it can sustain high gross margins and whether competitors can match the economics in…
Lenny’s Podcast115 min
Albert Cheng · Oct 5, 2025
Key learnings- Alternate between exploring for new insights and exploiting proven wins; when experiments stop reaching significance, return to…
- Share experiment learnings across the company so adjacent teams can apply the same human-psychology insight to their own parts of…
- Make a free tier a taste of the full product's value rather than a stripped-down version; sampling paid suggestions to free users…
Lenny’s NewsletterSep 30, 2025
Sep 30, 2025 · 32 min
Subscriber post — summary onlyExecutive coach Jack Cohen introduces GAIN, a framework for giving feedback by framing it around the gain people can achieve rather than the pain to avoid. It walks through each element (Goal, Actions, Impacts, Next…
Lenny’s Podcast112 min
Ravi Mehta · Sep 29, 2025
Key learnings- Startups win on latency, the speed from idea to validated result, not raw velocity; design tests so you can learn in days rather…
- Early-stage companies lack the traffic for statistically significant experiments, so favor conviction built from enough data over…
- Build an early-stage network of founders, angels, and builders early, since large-company connections often prefer staying in…
Lenny’s Podcast131 min
Hamel Husain & Shreya Shankar · Sep 25, 2025
Key learnings- Evals are systematic ways to measure and improve an AI application, essentially data analytics on LLM behavior, replacing…
- Start with error analysis by manually reviewing around 100 sampled traces and writing short notes on the first upstream failure…
- Product people with domain expertise should lead open coding; appoint one 'benevolent dictator' whose judgment you trust instead…
Lenny’s Podcast81 min
Brendan Foody · Sep 18, 2025
Key learnings- Treat evals as the product requirement document for a model: if you cannot measure what success looks like for a task, you cannot…
- Companies should build a systematic test of how AI automates their core value chain, since that measurement is the prerequisite…
- Evals also serve as sales collateral, showing customers and researchers concretely which real-world capabilities a model or…
Lenny’s Podcast97 min
Ethan Smith · Sep 14, 2025
Key learnings- Everything that works in traditional SEO also works for AEO, so start with landing pages targeting high-volume keywords before…
- In LLM answers you win by being mentioned across many citations, not by ranking first, so pursue multiple third-party mentions…
- Early-stage companies can win in AEO quickly, since a single citation from a Reddit thread, YouTube video, or blog can get you…
Lenny’s Podcast108 min
Ben Horowitz · Sep 11, 2025
Key learnings- Hesitation is usually the most destructive leadership mistake; when both options look bad, make an explicit decision rather than…
- Leaders add real value only when they make decisions most people disagree with; if everyone agrees, the leader added nothing.
- Success is built from a long chain of small, hard decisions, and each good choice sets up the next, so keep making the next one.
Lenny’s NewsletterSep 9, 2025
Sep 9, 2025 · 20 min
Subscriber post — summary onlyHamel Husain and Shreya Shankar outline a practical playbook for building AI evaluation systems that improve a product rather than just producing dashboards. The core argument is to start with error analysis by a domain…
Lenny’s Podcast131 min
Scott Wu · Sep 8, 2025
Key learnings- Treat an AI agent like a junior engineer: scope it with well-defined tasks rather than open-ended problems, and start with small…
- Run several agents asynchronously in parallel and only step in for the portions needing human judgment, such as scoping…
- Invest up front in setup for the agent: connect repositories, teach it how to run lint and CI, and give it a virtual machine so…
Lenny’s Newsletter♥ 315
Sep 2, 2025 · 9 min
Subscriber post — summary onlyDavid Placek of Lexicon Branding outlines a step-by-step naming playbook drawn from decades of work on brands like Swiffer, Pentium and Vercel. He argues that a strong name builds trust, communicates an original idea…
Lenny’s Podcast121 min
Howie Liu · Aug 31, 2025
Key learnings- Leaders should stay close to the product details, since in AI-era products the interaction design and underlying behavior are the…
- Use AI products constantly, even multiple times an hour, and build small weekend projects to understand what models can do and…
- Ask whether you would build the same mission from scratch as an AI-native company; if your existing assets don't give a real…
Lenny’s Podcast73 min
Asha Sharma · Aug 28, 2025
Key learnings- Treat AI products as living systems: build the loop of collecting usage signals, defining rewards, A/B testing, and fine-tuning…
- Invest in post-training and fine-tuning on your own data, not just off-the-shelf models; once models are large, adapting them to…
- Watch for a shift from GUIs toward composable, code-native interfaces, since text streams and composability connect better with…
Lenny’s Podcast85 min
Garrett Lord · Aug 24, 2025
Key learnings- Post-training, not pre-training, now drives most model gains, so high-quality expert data targeting specific capability gaps is…
- The labeling market has shifted from cheap generalist labor to domain experts, so the right supply is credentialed specialists…
- Access to a trusted audience is the real moat in human data; owning an audience removes customer acquisition costs compared with…
Lenny’s Podcast91 min
Eoghan McCabe · Aug 21, 2025
Key learnings- When growth stalls in a late-stage SaaS business, cut costs hard and pick one clear strategic lane instead of trying to serve…
- Simplify and fairly price your product even at short-term revenue cost; McCabe gave away roughly $50M ARR to replace confusing…
- Price AI products on outcomes that align with customer value, like charging 99 cents per resolved ticket, rather than on the…
Lenny’s NewsletterAug 19, 2025
Aug 19, 2025 · 20 min
Subscriber post — summary onlyAishwarya Reganti and Kiriti Badam introduce the Continuous Calibration/Continuous Development (CC/CD) framework for building AI products. They argue AI systems are non-deterministic and require negotiating a tradeoff…
Lenny’s Podcast119 min
Matt LeMay · Aug 14, 2025
Key learnings- Ask whether you would fully fund your own team if you were the CEO; if you can't answer confidently, that signals a risk worth…
- Set team goals no more than one step away from company goals, so leadership immediately understands how your work contributes to…
- Keep impact first at every step, from OKRs and strategy to epics and daily backlog, rather than letting goals get cascaded into…
Lenny’s NewsletterAug 12, 2025
Aug 12, 2025 · 10 min
Subscriber post — summary onlyLenny Rachitsky curates ten more essays for product builders, spanning problem framing, communication, distribution, market sizing, growth, scaling teams, positioning, and ambitious startup ideas. Each pick is paired…
Lenny’s Podcast128 min
Nick Turley · Aug 9, 2025
Key learnings- Ship early to learn what people actually want; with AI, the valuable behaviors are emergent, so you won't know what to polish…
- Treat the model itself as a product: iterate on it using real user use cases, personality/vibe checks, and new capabilities like…
- Set the team's pace deliberately by asking whether work is 'maximally accelerated', separating fast product iteration from…
Lenny’s Newsletter♥ 338
Aug 5, 2025 · 9 min
Subscriber post — summary onlyLenny Rachitsky and Peter Yang distill tactics from AI-forward companies like Shopify, Ramp, Zapier, Duolingo, Intercom, and Whoop on driving employee AI adoption. The core argument is that the main barrier is…
Lenny’s Podcast93 min
Chip Conley · Aug 3, 2025
Key learnings- When working for a founder, open meetings by aligning on the goal, what defines success, and what the meeting must accomplish…
- Build credibility with demanding leaders by getting close to customers, such as visiting hosts in their homes, so your input…
- Keep decks short and principle-focused so they still make sense when a combustible founder derails the meeting.
Lenny’s Podcast111 min
Bret Taylor · Jul 31, 2025
Key learnings- Don't just digitize what existed before; rebuild the experience natively for the new platform so customers have a reason to…
- Ask yourself what the most impactful thing is today, and reflect on whether you're choosing it out of comfort or because it's…
- Be skeptical of your own storytelling: customer reasons given to salespeople can mask deeper product problems, so seek…
Lenny’s Podcast130 min
Madhavan Ramanujam · Jul 27, 2025
Key learnings- Start willingness-to-pay conversations early, before building, because pricing is a measure of value and you can't avoid the…
- Frame pricing questions relatively, benchmarking against a known product like Salesforce, since people give more meaningful…
- Use acceptable, expensive, and prohibitively expensive price probes to find psychological thresholds, which often show steep…
Lenny’s Newsletter · Free post♥ 724
Jul 22, 2025 · 27 min
“One of my favorite collaborators, Tal Raviv, is back with another incredible piece that will change how many of you operate at work. If you’re looking for the promised AI productivity gains everyone’s talking about, start here. For more from Tal, check out his 63 free video tutorials on using AI agents at work, his other guest post, “PM is an unfair role. So work unfairly”, and his episode on Lenny’s Podcast. You can also book Tal for…”
Lenny’s Podcast87 min
Benjamin Mann · Jul 20, 2025
Key learnings- Mann argues progress is accelerating, not plateauing: model releases now come every one to three months, and scaling laws…
- Define transformative AI by the Economic Turing Test: if an agent passes as a human hire for a role over a month or three, track…
- Use AI tools ambitiously and persistently; Mann says retrying a task from a fresh start succeeds far more often than repeatedly…
Lenny’s Podcast128 min
Dan Shipper · Jul 17, 2025
Key learnings- Non-programmers can use Claude Code-style command-line agents with local files to process large text sets, like meeting notes or…
- Hire or assign someone to an AI operations role who continuously turns repetitive team tasks into prompts and workflows, and make…
- Apply 'compounding engineering': spend a bit of effort turning each recurring task (like writing PRDs) into a reusable prompt or…
Lenny’s Newsletter♥ 466
Jul 15, 2025 · 12 min
Subscriber post — summary onlyLenny Rachitsky shares seven older essays he considers timeless and formative for product builders, including pieces on delegation, agency, taste, learning, product focus, market vs. team, and Elon Musk's approach. He…
Lenny’s Newsletter♥ 1,017
Jul 8, 2025 · 20 min
Subscriber post — summary onlyLenny Rachitsky collected over a thousand reader stories about personal tools they built through vibe coding, then curated 50+ examples spanning health, parenting, work, music and fun. His core argument is that…
Lenny’s Podcast111 min
Andrew Wilkinson · Jul 3, 2025
Key learnings- Choose a business in an area you're genuinely interested in, but look for the unglamorous niche where competition is low…
- Pick a first business that delivers a quick, simple win, since early success builds the confidence and narrative needed to keep…
- Look for a unique edge (skills, background, or access to audiences) and pivot toward the most profitable customer segment for…
Lenny’s Newsletter♥ 248
Jul 1, 2025 · 22 min
Subscriber post — summary onlyA detailed playbook for acing analytical thinking PM interviews, structured as a five-step framework covering assumptions, product rationale, metric frameworks, goal-setting, and tradeoff evaluation, plus notes on…