Profile 11 min read

Lessons from Meredith Whittaker

Meredith Whittaker, Signal Foundation president, AI Now Institute co-founder, and Google Walkout organizer, argues that AI concentrates corporate power through surveillance and historical bias, connecting tech labor and encryption to the central question of who controls digital infrastructure.
Profile 9 min read

Lessons from Oriol Vinyals

Oriol Vinyals, Google DeepMind research vice president and a lead Gemini developer, co-authored Sequence to Sequence and directed AlphaStar and Gato, drawing connections across machine translation, language modeling, reinforcement learning, and the pursuit of generalist AI.
Profile 8 min read

Lessons from Ruchi Sanghvi

Ruchi Sanghvi, Facebook’s first female engineer and later Dropbox’s VP of Operations, built the original News Feed and now runs South Park Commons. Study her approach to product scale, founder strain, and resilient engineering cultures.
Profile 9 min read

Lessons from Tom Preston-Werner

Tom Preston-Werner co-founded GitHub, popularized the pull request, and created Jekyll, Semantic Versioning, TOML, and RedwoodJS. His path clarifies how bootstrapping, open infrastructure, and clear interfaces can reshape collaborative software development for generations of teams.
Profile 9 min read

Lessons from Vannevar Bush

Vannevar Bush led the Office of Scientific Research and Development during World War II, shaping the model for government-funded science, and conceived the Memex. His ideas connect massive organizational management with tools designed to augment human thought.
Profile 8 min read

Lessons from Whitney Wolfe Herd

Whitney Wolfe Herd founded Bumble around one constraint: women send the first message. Her path shows how opinionated product design and guerrilla marketing can turn a public struggle with online harassment and early rejection into a distinctive business.
Digest 6 min read

Daily Digest - 2026-05-25

AI advantage increasingly depends on operating design: model economics, redesigned roles, physical infrastructure, and institutional memory shape whether companies can turn abundant intelligence into reliable, scalable business value.
Digest 5 min read

Daily Digest - 2026-05-24

AI’s expanding demand strengthens platform moats while raising the cost of weak judgment: developer lock-in favors incumbents, agentic code risks burying craftsmanship, and parallel mental models offer a steadier way to navigate uncertainty.

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