Marty Cagan argues that the word "beta" has become so ambiguous that its meaning depends on what a team is trying to accomplish. He describes four distinct uses: a QA phase handled with real users, a gentle deployment…
John Cutler argues that organizations measuring AI success often fixate on the wrong denominator, counting outputs or usage rather than the outcomes that actually matter. The piece is framed around a simple model for…
A data-driven deep dive into Y Combinator's roughly 4,900 companies, examining survival, exits, unicorn rates, funding, geography, and founder traits. The core argument is that YC's edge lies in picking strong founders…
The essay argues that AI does not remove the core difficulties of product and engineering work, namely complexity, coupling, coordination costs, uncertainty, and system decay. What AI changes is the cost, speed, and…
“Listen to this episode on: Spotify | Apple Podcasts What if AI could help reduce the 10-plus years it takes to get a new drug to market? That's the driving ambition behind Medable's agentic platform—and the bet that led them to build Agent Studio. In this episode”
Julie Zhuo reflects on Muse, a consumer AI agent she believes could actually change people's everyday habits. The essay, which is paywalled, argues that a few specific design choices explain why personal AI might…
Teresa Torres defends Facebook's 2014 emotional contagion study, published in PNAS, arguing that experimenting on users is standard practice for internet products and that the backlash is overblown. She contends the…