Tech Economics

The largest tech companies hire engineers they don't need to ensure competitors can't have them. This is a deliberate market strategy, not a hiring mistake.

Bootcamps don't outperform CS programs because they teach better. They outperform them because they engineered the hiring pipeline from the start.

Artificial performance limits aren't a bug in cloud pricing. They're the entire business model, and understanding them changes how you buy infrastructure.

Employee stock options look like a path to wealth. They're actually a sophisticated mechanism for transferring market risk from corporations to the people who can least afford it.

Artificial scarcity at launch isn't a bug or a capacity problem. It's one of the most effective growth strategies in tech, and most users never notice it.

Selling below cost sounds like a disaster. For the world's most profitable tech companies, it's been the whole plan all along.

The biggest apps in the world didn't win by solving obvious problems. They won by finding the ones people were too embarrassed, too busy, or too unaware to name.

That update notification isn't about security patches. It's about keeping you locked in, dependent, and paying.

VCs aren't guessing. They're running mental checklists built from thousands of pitches. Here's what's actually on those checklists.

The price of software has almost nothing to do with what it costs to build. Here's the economic logic companies never explain out loud.

The features you can't find aren't accidents. They're strategy. Here's the cold economics behind buried settings, hidden tools, and invisible upgrades.

Amazon, Google, and Microsoft sell core products below cost. It's not charity — it's a calculated takeover strategy hiding in plain sight.

The real reason enterprise software costs a fortune has nothing to do with development costs. It's about leverage, and once you see it, you can't unsee it.

It's not paranoia. Device slowdown is a calculated business strategy hiding inside software update notes. Here's how it actually works.

The best VCs aren't visionaries. They're pattern matchers running a surprisingly systematic playbook to spot industries on the verge of collapse.

The real cost of software has nothing to do with code. It's about who controls the workflow — and vendors figured this out decades ago.

When a product is ready but never ships on time, it's rarely a technical problem. It's a calculated business decision with surprisingly rational logic.

Top VCs don't evaluate startups on merit alone. They run a rapid mental checklist built from thousands of pitches, and knowing the patterns can change everything.