About
How 400+ products get built, launched, and scaled — systematically.
Most people build one product and spend years perfecting it. I build hundreds using repeatable AI-powered systems that compress months of work into days.
The approach is simple: validate with real payments before engineering, use connected AI agent teams instead of siloed tools, and never build anything that can't sustain itself on unit economics from day one.
Every product in the portfolio follows the same playbook — smoke test, build, launch, measure, iterate. The agents handle execution. I make the calls on what to build and when to kill it.
Philosophy
No product gets built until someone pays for it. Smoke tests and presales validate demand before a single line of code ships.
Repeatable processes beat individual brilliance. Every product uses the same stacks, the same agents, the same methodology.
If the unit economics don't work, the product dies — regardless of how much time went into it. No emotional attachment to ideas.
Vanity metrics are noise. Every decision traces back to paying customers and sustainable unit economics.
If a simple solution solves the problem, the complex one never gets built. Maintenance cost is a feature, not an afterthought.
Decisions are made on incomplete data rather than waiting for perfect information. Ship, measure, adjust.