Open Source Maintainers Build the Web and Earn Almost Nothing

Founders obsess over how fast they're spending money. The number that actually predicts survival is different, and most teams don't track it.

Friendster launched before Facebook. Altavista before Google. Being first is a head start, not a moat. The story of how MySpace lost everything explains why.

Git and its cousins do store your work, but that's the least interesting thing they do. Here's what version control is actually for.

A software team spent weeks feeding their model richer data and watched accuracy drop. Here's what went wrong and what it reveals about how LLMs actually process information.

A load balancer looks like boring infrastructure. It's actually making consequential decisions about your users every second, often badly.

Tony Hoare called null his billion-dollar mistake. Six decades later, we're still paying the bill. Here's why the fix never stuck.

Heisenbugs aren't just frustrating quirks. They expose the hidden assumptions baked into every layer of your computing stack.

A competitor dropping to $0 doesn't automatically destroy your pricing. It forces you to answer a question your customers were never asking before.

Being first costs more than it pays. The companies that dominate tech markets usually got there second, with better timing and someone else's tuition bill.

A product team at Basecamp learned the hard way that completing work and completing communication are two entirely different things.

The obsession with early customer count is one of startup culture's most persistent mistakes. Depth beats breadth, and the numbers eventually prove it.

You built the perfect deck. You rehearsed the talking points. Then someone asked one question and the whole thing went sideways. That's not bad luck. That's meetings.

A co-founder departure isn't just a people problem. It's a structural event that will haunt your fundraising, your governance, and your next hire if you handle it wrong.

Training your model is the starting line, not the finish. Here's what actually happens to model performance over time, and how to manage it.

Heisenbugs don't just frustrate developers. They expose a fundamental flaw in how we think about software correctness.

Engineering teams obsess over milliseconds. Users respond to something different: the feeling of speed. The two are not the same, and confusing them is expensive.

Routers handle collisions constantly. The answer involves queues, priorities, and deliberate packet murder — and it's more elegant than you'd expect.

The compute bill is the headline. The human labor underneath it is the real story that AI companies don't want to discuss.