Lenny’s Newsletter · Free post♥ 240
Feb 7, 2023 · 20 min
Lenny Rachitsky and Dan Shipper walk through how a Lenny-specific chatbot was built on GPT-3 using his newsletter archive. The piece explains the difference between GPT-3 and ChatGPT, why raw language models tend to…
Product Talk · Teresa TorresNov 12, 2025
Nov 12, 2025 · 21 min
“I love that Claude Code allows me to build out my own personal operating system. I now have personal workflows for managing my to-do list, keeping up on academic research related to my work, hosting two podcasts, writing long-form weekly articles, designing courses, and much more. I used”
Medium · Hiten ShahApr 5, 2026
Apr 5, 2026 · 4 min
Hiten Shah argues that leaders usually try to engineer culture directly, which rarely works. Instead, culture emerges from the environment (systems, cadences, unwritten rules), and the environment itself is shaped by…
Product Talk · Teresa TorresOct 9, 2025
Oct 9, 2025
Teresa Torres interviews SallyAnn DeLucia and Jack Zhou of Arize AI about building Alyx, the AI agent that helps teams debug, optimize, and evaluate AI applications. The team describes scrappy beginnings in Jupyter…
Product Talk · Teresa TorresFeb 10, 2014
Feb 10, 2014 · 5 min
Teresa Torres responds to reactions to her earlier post arguing against traditional brainstorming. She clarifies how creative output is measured (fluency, flexibility, originality) and addresses objections about…
Product Talk · Teresa TorresJan 13, 2016
Jan 13, 2016 · 9 min
Teresa Torres argues that teams use A/B tests poorly, mainly to confirm favored ideas or to blindly try variations, which teaches them little. Drawing on John Dewey's account of reflective thinking, she describes a…
Product Talk · Teresa TorresApr 6, 2022
Apr 6, 2022 · 5 min
Teresa Torres argues that teams should separate their research questions (what they want to learn) from their interview questions (what they actually ask), because people answer direct questions unreliably due to…
Lenny’s Newsletter♥ 26
Sep 22, 2020 · 11 min
Subscriber post — summary onlyLenny answers a reader question by unpacking how Airbnb built a strong experimentation culture, using its early data science hires, north-star metric, embedded data scientists, and trustworthy tooling as the core story…
SVPG · Marty CaganJan 18, 2021
Jan 18, 2021
Marty Cagan argues that the pandemic's reduction in commuting gave many people uninterrupted solo time, such as long walks, that is valuable for deep thinking about hard problems. He describes his own experience writing…
Product Talk · Teresa TorresNov 5, 2025
Nov 5, 2025 · 8 min
Teresa Torres explains how she stopped re-explaining her business to AI tools by giving Claude Code a persistent, file-based memory. Instead of uploading context into chats or web Projects, she stores knowledge in local…
SVPG · Marty CaganJul 22, 2008
Jul 22, 2008
Marty Cagan describes a less common product-team role: subject matter experts (SMEs) or domain experts, who have deep knowledge of the business's particular field, such as tax, payroll regulation, or medicine. He argues…
Lenny’s Podcast115 min
Eric Simons · Mar 13, 2025
Key learnings- Eric Simons says deep technology bets can take years to find their market; his team stayed alive by bootstrapping and keeping…
- Simons advises treating spending as a default no until you see real customer pull, and buying software with the goal of cutting…
- Simons notes that when a launch unexpectedly takes off, pricing and infrastructure often break first; Bolt rolled out upgrade…
Lenny’s Newsletter♥ 300
Jan 2, 2024 · 21 min
Subscriber post — summary onlyLenny Rachitsky compiles favorite life mottos shared by podcast guests, asking them for a motto they return to often. The post is a collection of short inspirational sayings and the reflections behind them, intended as…
Product Talk · Teresa TorresOct 2, 2025
Oct 2, 2025
Teresa Torres and Hamel Husain discuss how to evaluate and debug AI products with a scientist's mindset. Hamel draws on his machine learning background at Airbnb and GitHub, and his consulting work with startups like…
Product Talk · Teresa TorresSep 21, 2026
Sep 21, 2026 · 5 min
This reading guide kicks off a monthly book club celebrating five years of Continuous Discovery Habits, focused this month on Chapter 10, 'Testing Assumptions.' The guide frames the chapter as a bridge between…
Product Talk · Teresa TorresApr 6, 2026
Apr 6, 2026 · 8 min
This book club reading guide introduces Chapter 5 of Continuous Discovery Habits, focused on continuous customer interviewing. Teresa Torres argues that product trios should interview customers on a weekly cadence…
Product Talk · Teresa TorresNov 19, 2014
Nov 19, 2014 · 3 min
Teresa Torres argues that a lack of web traffic should not stop product teams from learning, even if A/B testing is their only experimentation tool. Using a worked example of testing testimonials on a blog's about page…
SVPG · Marty CaganAug 31, 2005
Aug 31, 2005 · 3 min
Marty Cagan argues that many companies outsource for the wrong reason, namely cost savings, when they should outsource to assemble the right product team. He notes that Silicon Valley's high living costs push talent…
Product Talk · Teresa TorresDec 10, 2025
Dec 10, 2025 · 4 min
Teresa Torres describes how her blog-writing process changed once she began using Claude as a collaborator for outlining, critiquing, researching, and headline work, which lets her write more. She argues that designing…
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…
Product Talk · Teresa TorresMay 22, 2014
May 22, 2014 · 8 min
Teresa Torres argues that product leaders need only a basic grasp of statistics to avoid being misled by A/B tests. She explains statistical significance using a conversion example and warns that many web testing tools…
Lenny’s Newsletter · Free post♥ 36
Jun 26, 2019 · 30 min
Lenny Rachitsky distills roughly seven years of marketplace supply-growth lessons from Airbnb into a catalogue of tactics and strategies, including the value proposition, referral programs, direct sales, piggy-backing…
HEY World · Jason FriedJan 6, 2026
Jan 6, 2026
Jason Fried argues that the excitement around AI agents comes less from the technology itself and more from the psychological experience they create: delegating a task to someone fully competent. He notes that most…
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…