Founders panic when early customers churn or misuse the product. They shouldn't. Those customers are doing exactly what they're supposed to do.
Open source maintainers collectively produce software worth hundreds of billions of dollars. The vast majority earn nothing for it. That's not sustainable, and the industry knows it.
The cost of switching tasks isn't just lost minutes. It changes the ceiling on what you can actually produce.
Not every meeting is a waste of time, but most of them are. Here's how to tell which kind you're in before you schedule it.
A giant just cloned your startup. Before you panic or pivot, here's what founders who survived this actually did.
When customers leave six weeks after signing up, founders blame the product. The real culprit is usually sitting in your CRM celebrating a closed deal.
Static analysis, dead code elimination, loop unrolling — your compiler has been making intelligent decisions about your code for decades. Here's what that history tells you about AI.
Shipping a machine learning model isn't like shipping software. The failure modes are different, subtler, and far more expensive to debug.
Your payment clears in under two seconds. The chain of systems that makes that possible is older, stranger, and more fragile than you'd expect.
Standby servers, hot spares, and failover nodes sit idle for months. That idleness is exactly what makes them worth more than the machines doing actual work.
Market leaders in tech burn capital defending their position. The company just behind them often keeps more money, faces fewer regulators, and builds more durable margins.
Todo apps are great at tracking discrete actions. They're terrible at capturing the thinking, deciding, and noticing that actually moves things forward.
Most founders calculate runway from current burn. The number that actually matters is different, and most boards never ask for it.
A cautionary story about acquiring software businesses and discovering too late that the real assets walked out the door on day one.
Prompt engineering feels like a permanent new skill. It isn't. Here's why that's actually the point, and what comes after it.
When a bug surfaces in production but not in testing, the natural response is to fix the bug. The real problem is what that bug reveals about your test suite.
Your CPU can only do one thing at a time. Everything else is an elaborate, carefully coordinated illusion — and the machinery behind it explains most of the bugs that are hardest to fix.
Free and open-source software built the internet, runs your cloud, and powers most of the world's most valuable companies. It just wasn't designed to capture any of that value.
A product team at Basecamp kept shipping the wrong thing. The fix wasn't better planning. It was a deliberately unstructured conversation.
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