Lenny’s Podcast124 min
Timothy Davis · Jul 28, 2024
Key learnings- Paid acquisition suits most businesses because paid search is user-driven, so start by checking where users already find you and…
- Run small signs-of-life tests first, starting with your own customer data for lookalike audiences at a 1% match, before…
- Don't copy winning creative across platforms; user mindset and behavior differ, so adapt messaging for each platform.
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 Podcast69 min
Vijay · Jan 26, 2023
Key learnings- Protect your core product: rather than moving people from the core to new ventures, invest the core's profits into new bets…
- Be cautious adding adjacent products in new categories; bolt-on products that are only mid-tier in crowded categories rarely move…
- When a product is losing customers to competitors, a focused 'speed' phase working directly from ranked churn reasons can close…
Lenny’s Podcast97 min
Edwin Chen · Dec 7, 2025
Key learnings- Define quality in rich, specific terms for each domain (e.g., what makes a poem Nobel-worthy, not just whether it has eight…
- Gather thousands of signals on each worker and task, from background and expertise to performance, and use them like an ML…
- Don't trust benchmarks at face value: many contain wrong answers, and optimizing for them can make models worse at messy…
Lenny’s Podcast118 min
Robby Stein · Oct 10, 2025
Key learnings- Search demand is expanding rather than dying: AI lets people ask more and harder questions, so growth comes from new query types…
- Build a product from a real user problem and stay dissatisfied with the status quo; keep making it better until it tips into…
- Use a J-curve retention analysis (day 7, 30, 90) to tell whether a product is flattening into real usage or steadily losing users.
Lenny’s Podcast102 min
Chip Huyen · Oct 23, 2025
Key learnings- Focus on what actually improves AI apps, such as talking to users, improving data, writing better prompts, and optimizing…
- Be cautious about committing to newly released technologies that have not been widely tested, since switching away from them…
- Fine-tuning and post-training can shape model behavior a lot, and many teams now focus effort there because base pre-training…
Lenny’s Podcast74 min
Yuriy Timen · Sep 1, 2022
Key learnings- Give every channel a real test before judging it; many teams wrongly conclude YouTube or other tactics don't work because they…
- Virality works best when the product has inherent network effects, where utility grows with more users, rather than trying to…
- Treat SEO as a 3-month time-boxed experiment, favoring angles with a unique editorial, programmatic, or data advantage, and buy a…
Lenny’s Podcast93 min
Sri Batchu · Jun 25, 2023
Key learnings- Sequence B2B growth roughly as founder-led sales, first salespeople, low-cost targeted marketing like content and community, then…
- Use early investor and founder relationships as a growth channel: getting influential operators onto the cap table can drive word…
- Make every growth channel driven by technology and data, such as dedicated growth engineers automating sales workflows and…
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 Podcast133 min
Keith Coleman & Jay Baxter · Feb 27, 2025
Key learnings- Surface notes only when raters who normally disagree both find them helpful; seeking cross-polarized agreement is what keeps…
- Open participation to everyone with basic verification and random selection, rather than curating contributors, so the system…
- Set the quality bar conservatively: showing a bad note damages trust far more than withholding a good one, so the team accepts…
Lenny’s Podcast88 min
Gibson Biddle · Jun 20, 2022
Key learnings- Frame product strategy as a set of testable hypotheses about how to delight customers in hard-to-copy, margin-enhancing ways, and…
- Use A/B tests to check what customers say they want; Gibson's new-release test showed that faster delivery barely moved…
- Estimate the value of a feature by multiplying affected customers by lifetime value and a word-of-mouth factor, then weigh it…
Lenny’s Podcast159 min
Eli Schwartz · Sep 19, 2024
Key learnings- Treat SEO as a product: start by understanding the user's search journey and what they would actually type before investing…
- Skip SEO if you can't name the specific searches your target user would make; many SaaS products lack a real search journey and…
- Expect AI answers to absorb top-of-funnel discovery queries, and focus SEO effort on mid-funnel, intent-rich queries where users…
Lenny’s Podcast108 min
Tobi Lutke · Feb 2, 2025
Key learnings- Start new product decisions from first principles by re-deriving them from today's building blocks instead of copying what…
- Be suspicious of pitches to build a better version of what everyone already does; doing the same thing cannot yield something…
- Stay close to the details of the work, including the underlying technology, so decisions rest on real understanding rather than…
Lenny’s Podcast118 min
Mayur Kamat · May 22, 2025
Key learnings- Join fast-growing companies, since learning compounds much faster when you ship and learn daily rather than over multi-year…
- Identify your genuine strengths, through structured assessments or peer feedback, and seek roles where success depends on using…
- Early in your career, don't optimize for compensation; most earnings tend to come later, so prioritize learning and fit.
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 Podcast67 min
Inbal S · Dec 1, 2023
Key learnings- Engineers using AI tools need to shift from writing code to systems and architecture thinking, which lets junior developers spend…
- Don't adopt AI for its own sake; start from the customer problem and ask how AI can best solve it, rather than asking what to do…
- AI tools must fade into the background: any extra setup, asking, or waiting adds friction and developers will abandon the tool.
Lenny’s Podcast111 min
Ben Williams · Nov 6, 2022
Key learnings- Start with a narrow, deep use case for one developer community (Snyk began with Node.js developers) to validate product-market…
- Design acquisition loops into the product itself, such as Snyk-branded pull requests that educate other developers and drive them…
- Build programmatic SEO assets, like Snyk Advisor's package health pages, that generate and index large volumes of pages…
Lenny’s Podcast115 min
Elena Verna 3.0 · Jun 23, 2022
Key learnings- Founders should drive the first stage of growth themselves; hire a growth leader only after product-market fit, strong retention…
- A growth team cannot fix a declining core product or go-to-market; stabilize the core issues first before adding growth resources.
- Homepage and brand redesigns rarely lift acquisition immediately; plan for three to six months of post-launch optimization or…
Lenny’s Podcast72 min
Naomi Ionita · Jan 12, 2023
Key learnings- Don't set pricing once and forget it; treat it like the roadmap and revisit monetization every 6 to 12 months, especially when…
- Start monetizing earlier than feels comfortable, since delaying cheapens the product, removes pricing feedback loops, and creates…
- Match price to value by choosing a value metric tied to how users get value, so revenue grows naturally as usage increases.
Lenny’s Podcast67 min
Teresa Torres · Jun 30, 2022
Key learnings- Use the opportunity solution tree: put a measurable outcome at the root, map opportunities as customer needs and pain points…
- Keep opportunities framed in the problem space rather than as disguised solutions; Torres notes most people mistakenly write…
- Collect rich, behavior-based stories in interviews by asking about the last specific instance (e.g., 'tell me about the last…
Lenny’s Podcast110 min
Aishwarya Naresh Reganti + Kiriti Badam · Jan 11, 2026
Key learnings- AI products differ from traditional software mainly because user inputs and model outputs are both non-deterministic, so behavior…
- Each time you grant an AI system more decision-making autonomy, you give up some human control; autonomy should be earned through…
- Start with low-agency, high-human-control versions (e.g., suggestions to human agents) and log human corrections to build a…
Lenny’s 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…
Lenny’s Podcast81 min
Karina Nguyen · Feb 9, 2025
Key learnings- Build rigorous evals first: define deterministic pass/fail behaviors (e.g., correct time handling) and human win-rate comparisons…
- Use prompting as a fast prototyping method to test product ideas before engineering investment, as Karina did with file uploads…
- Synthetic data scales cheaply for teaching core product behaviors, but human expert data is still needed for specialized…
Lenny’s Podcast101 min
Maya Prohovnik · Sep 28, 2023
Key learnings- Dogfood your product by creating content with it yourself, since building creator tools without living the creator experience…
- Ensure the team experiences the product's pain directly, for example by having engineers and PMs make their own podcasts, to…
- Balance data and gut instinct by treating your intuition as a legitimate data point, explaining its reasoning with evidence…