There is no team behind this. There's me.

I spent my whole childhood glued to a computer. MapleStory first, then Cheat Engine because grinding was for other people, then a stack of banned accounts, then running private servers — because if they won't let you break the game, you host your own.

Music came next, through FL Studio, because I couldn't afford an actual instrument. So I learned production and sound engineering the same way I learned everything: alone, obsessively, ins and outs, on a screen.

I wasn't training for a career. I was addicted to making things with a computer.

I went to CS school and dropped out. Before I left, I stumbled on Tim Ferriss's list of 99 books and read all of it. Then I took an entry-level job, fully expecting everyone around me to be a thousand times smarter — they went to actual business school; I was an eighteen-year-old who was into computers and couldn't even code that well.

What I could do — and what, for some reason, most people can't — is apply whatever I know to the problem in front of me. The 99 books turned out to be the glue between the computer skills and the real world.

Then I realized most people weren't smarter. They were just less hungry. Everything after that happened very fast.

There's a thread running through all of it: I was built around constraints. No instrument money — so FL Studio. No game advantage — so Cheat Engine. No degree, no network, no budget for any problem, ever. Throwing money at things was simply never on the menu, so the only move available was finding the right way. And when there wasn't a right way, I dug my own.

That seeped into everything. It's why I'd rather fix your measurement than raise your budget, why I tell founders that constraints are a creative engine, and why this company has a headcount of one. Constraint isn't the obstacle in my philosophy. It's the method.

If there's no way through, dig.

For six years I ran a one-man company working with entrepreneurs who had great products in validation or scaling phase. Before that, a VC fund, hunting startups and fixing them. The same strategy, run across 100+ products and services — it never failed me once, because execution is the real bottleneck: dropping a part of the strategy results in failure, not a 20% dip.

Then AI got way too fun, and I spent three years burning my savings on tokens. LinkedIn calls it a career break. I call it R&D.

Now both obsessions are the same job: twelve years of fundamentals, AI-era leverage, one operator. That's the whole company.