Open Source Maintainers Build the Web and Earn Almost Nothing

We moved from meetings to messages to escape constant interruption. We got constant interruption with worse context and higher latency.

The tasks you avoid longest aren't random. There's a pattern, and understanding it is more useful than any productivity system.

Everyone celebrates the first customer. The second one is the only signal that actually tells you something useful.

Pricing below your costs doesn't buy you time. It just makes you fail slowly, then suddenly, with a customer base you can't actually serve.

Between your words and the model's attention lies a pipeline you didn't design and probably can't see. Here's what's actually happening to your prompt.

You probably think of embeddings as a search feature. They're actually closer to the connective tissue of modern AI-powered software.

Quantization and pruning shrink models efficiently, but they also change what the model is. The weirdness is worth understanding.

Time seems like the simplest thing a computer tracks. Google Spanner showed why it's actually the hardest, and what it took to get it right.

Deletion sounds simple. It is not. Here is why removing data from a system is one of the most underestimated challenges in the field.

The padlock in your browser means your connection is encrypted. It says nothing about whether the site on the other end is trustworthy, legitimate, or safe.

Counterintuitive but consistent: higher API prices often attract more serious buyers, reduce support burden, and improve retention. Here's the mechanism behind each.

The software holding up the internet is often maintained by unpaid volunteers. Here's why that's a structural problem, not a gratitude problem.

The salary number on an offer letter is the least important variable in engineering economics. Most companies never learn this until the damage is done.

Companies that have actually cracked async communication aren't just sending fewer Slack messages. They've redesigned how decisions get made and recorded.

We've built a culture of instant dismissal around features that cost enormous effort to create. That asymmetry is worth taking seriously.

Your calendar isn't broken. It's doing exactly what you trained it to do. The problem is what you've been training it to optimize for.

Raising money before you have leverage feels like progress. It's usually the opposite. Here's what it actually costs you.

Early adopters save your startup. They also, if you're not careful, define it in ways that make scaling nearly impossible.