Lenny’s Podcast102 min
Deb Liu · Aug 4, 2022
Key learnings- Treat your career like a product: write down what success looks like in five years, the milestones and skills needed, and measure…
- Keep balancing learning and impact; the expert you are today will be outpaced by someone still actively learning from the best…
- Treat setbacks as stepping stones; people who recover from hard feedback and failed products often become the strongest leaders.
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 Podcast86 min
Andy Johns · Sep 10, 2023
Key learnings- Treat persistent disruption to sleep, relationships, physical health, and daily routines as a clear signal that something needs…
- Recognize that many high achievers tie self-worth to achievement; identify those adaptations that once helped you but may now be…
- Start with a therapist or counselor, and choose based on feeling safe and comfortable, ideally with someone intellectually at…
Lenny’s Podcast121 min
Matt Mullenweg · Mar 2, 2025
Key learnings- Build a movement, not just a product: give community members a philosophy and shared identity, plus many ways to contribute…
- A platform only becomes durable when its ecosystem of plugins and themes is a moat competitors can't easily replicate.
- Open source licensing like the GPL guarantees users and builders keep their freedoms even if the steward changes course…
Lenny’s Podcast124 min
Emilie Gerber · Mar 21, 2024
Key learnings- Press often delivers second-order value: third-party validation for sales emails, recruiting outreach, and investor or sponsor…
- For funding announcements, keep the pitch simple: amount raised, investors, and one line on why it matters, offered as an…
- Follow up respectfully every three or four days with new information, and move on to other relevant reporters after a few…
Lenny’s Podcast118 min
Dan Shipper · May 24, 2026
Key learnings- Keep using the newest models and agent tools for your real work, and experiment on your own time if your employer restricts…
- Expect most company AI to start as one shared agent that everyone can talk to, likely in Slack, rather than many personal agents…
- Design products so agents can be users too: make them easy to drive via CLI and browser-friendly, because the customer's own AI…
Lenny’s Podcast66 min
Ryan J. Salva · Sep 4, 2022
Key learnings- Ring-fence a dedicated R&D team for long-horizon, uncertain bets, reserving roughly 5-10% of capacity for audacious experiments…
- Hand off research prototypes only after customer signal exists, and move researchers back to R&D based on a trained replacement…
- Let the team that owns the product day to day control its own roadmap; don't outsource innovation entirely to an R&D group.
Lenny’s Podcast99 min
Jessica Hische · Oct 20, 2024
Key learnings- Startups can launch with a quick, internally made logo, then invest in a custom refresh once the company is more stable, avoiding…
- Signs it's time to upgrade a logo include a broader rollout of the brand, printing swag or hosting events, or needing assets that…
- A custom logo or typography makes your brand harder to copy than a freely available font, which matters once success attracts…
Lenny’s Podcast129 min
Sam Lessin · Jan 15, 2026
Key learnings- Aim to enter a room with a low heart rate and an abundance mindset rather than scarcity, since the conversation is a…
- Arrive a little early, roughly 10 to 15 minutes, and never make a late guest feel bad; a simple apology is enough.
- When you forget someone's name, introduce your partner first and let the moment hang so the other person picks up the name, or…
Lenny’s 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…