Your First Hundred Customers Are Supposed to Be Wrong

Winning a market and profiting from it are different skills. The company that fought hardest to get to number one often can't afford to stay there.

Most beginners read docs front to back. Experts don't. Here's the non-obvious reading strategy that actually saves time.

Your canceled meeting probably accomplished more than the one you sat through. Here's why absence is often the most productive thing you can do.

The origin story gets the glory. But the person who shows up after product-market fit is a myth and before the company falls apart often determines whether it survives.

The customer who pushed back hardest, demanded the most, and nearly broke your team often has exactly the instincts your early team needs.

Embeddings aren't just a preprocessing step. They're quietly making decisions throughout your AI system, and most teams don't realize it until something breaks.

Dropping a column sounds trivial. On a large production table, it can freeze your entire application. Here's what's actually happening inside the database.

The software powering global finance, healthcare, and AI runs on open source code maintained by volunteers. The economics of this arrangement are quietly breaking down.

Winning a market and profiting from it are different things. The economics almost always favor the runner-up.

Every notification ping is a priority decision made by an algorithm. Here's what that does to your ability to think, and how to take that control back.

Breaking work into tiny pieces creates overhead that compounds quietly. The problem isn't granularity itself — it's where the cost hides.

Almost every startup misprices its first product. Here's why that's survivable, what the real mistakes look like, and when bad pricing actually kills you.

The users who push back hardest on your product are often the ones who understand it most clearly. Slack's growth story is a case study in learning to tell the difference.

LLMs encounter novel inputs constantly. Here's the mechanical reality of what happens when a model meets context that falls outside its training distribution.

Every bug that only surfaces in production is a failure of imagination in your test suite. Here's how to read what they're actually saying.

Your monitoring says the service is up. Your users are staring at a spinner. Both things are true at the same time.

That half-second before a webpage loads involves more engineering than most people write in a career. Here's what's actually happening.

A startup built its entire caching strategy around numbers Jeff Dean published in 2009. Here's what they got wrong, and what modern hardware actually looks like.