Alex Nakamura

Being first gets you attention. Being second gets you the business. Here's why that pattern keeps repeating across tech history.

The gap between localhost and production isn't a bug. It's a category of assumptions your development environment quietly makes for you.

The mental model most people have of internet data is wrong in ways that matter. TCP/IP is stranger and more clever than a simple pipeline.

The second-place player in most tech markets faces lower expectations, smaller R&D obligations, and more pricing freedom. AMD's rise explains why.

The code you write and the instructions your processor executes are separated by layers most programmers never think about. That gap is where performance lives.

Underpricing feels safe. It isn't. The startups that set high prices early tend to build better products, attract better customers, and last longer.

A notorious NASA software failure shows what happens when programmers assume the machine understands intent. It never does.

The machines that look idle are frequently the ones keeping everything else alive. Here's why infrastructure that sits quiet earns its keep.

More funding feels like winning. It usually isn't. The economics of overfunded startups explain why the largest war chest so often becomes the heaviest anchor.

Open source software powers most of the internet and costs its users nothing. That's not a charity story. It's a strange economic arrangement worth understanding.

The products most likely to get axed aren't the failing ones. They're the ones making money but consuming resources a parent company has decided to allocate elsewhere.

The highest-paid engineers often have the thinnest commit histories. That's not a paradox. It's a signal about what companies actually pay for.

First-mover advantage is one of the most persistent myths in tech. The data and the history both point the other way.

Adding features is celebrated. Removing them is politically toxic, technically treacherous, and almost never done well. Here's why, and what teams get wrong.

Most API latency problems aren't in the API. They're in assumptions developers carry about how networks actually behave under real conditions.

The people who build the products that generate billions rarely capture much of that value. The structure is intentional, not accidental.

Static analysis tools catch real errors before a single line runs. The software industry largely ignores them anyway. Here's why, and what it costs.

The decision process inside venture capital firms looks nothing like founders imagine. Here's what actually happens to your deck.