Lessons from Laura Modi

Laura Modi, co-founder and CEO of Bobbie, built an organic infant formula company after struggling to find options meeting her standards as a new mother. Her decisions illuminate operating through a national shortage and confronting the stigma around formula feeding.

Lessons from Lane Shackleton

Lane Shackleton, Coda’s Chief Product Officer after nearly a decade leading product at Google and YouTube, formalized rituals such as the two-way write-up. His approach turns vague problems into clear systems for stronger decisions, team culture, and product organizations.

Lessons from Kristen Berman

Kristen Berman co-founded Irrational Labs to bring behavioral economics into product design. Her 3B Framework—Behavior, Barriers, and Benefits—shows why environments shape action more powerfully than willpower or stated desires, grounding systems in real decision-making.

Lessons from Peter Deng

Peter Deng is a product leader who helped scale Instagram, Facebook, Uber, Airtable, and OpenAI. His five product manager archetypes and human-centric approach illuminate how teams can build useful consumer AI around people, not raw technical capability.

Lessons from Nick Turley

Nick Turley, OpenAI’s Head of ChatGPT, helped launch the product in a ten-day sprint. His approach pairs rapid shipping with close study of raw user behavior, prioritizing clear utility as ChatGPT develops into a proactive assistant.

Lessons from Krithika Shankarraman

Krithika Shankarraman (Muthukumar) was the first marketing hire at Stripe and OpenAI. Her engineering-led DATE framework diagnoses specific business needs, offering a disciplined way to position technical products, scale early teams, and preserve human taste amid automated content.

Lessons from Kevin Aluwi

Kevin Aluwi, Gojek’s co-founder and former CEO, helped transform a motorcycle taxi call center into an Indonesian multi-service app. His habit of treating operational headaches as data science problems offers a practical model for scaling marketplaces in emerging markets.

Lessons from Karina Nguyen

Karina Nguyen is an AI researcher whose work spans post-training, product design, Constitutional AI, model personalities, and ChatGPT Canvas. Her methods for evaluating models and interpreting latent spaces reveal how AI tools can be co-designed with human users.

Choose your reading rhythm.

Start with a weekly briefing, add daily notes, or hear only when a durable essay or research update is ready.

You've successfully subscribed to Antoine Buteau
You've successfully subscribed to Antoine Buteau
Welcome back! You've successfully signed in.