I'm Nicola, and I built vexp because I was tired of watching my AI coding tools waste money reading code they didn't need.

Every time you ask Claude Code, Codex, or Cursor to fix a bug, the agent spends 15-20 tool calls just reading your project files before it writes a single line of code. That's 60% of your quota burned on orientation, not output. You're paying for the smartest models on the planet to do something a local index could do for free.

I built vexp to fix this. It's a context engine that runs entirely on your machine, maps your project's dependency graph, and hands your AI agent only the code that matters for each task. One call instead of twenty. No cloud, no data leaving your laptop, no guessing.

Within 3 months of launching, 10,000+ developers installed vexp with zero marketing and zero funding. Just a small team and a product that solves a real problem. This year I shipped devmind, a local AI layer that preprocesses your prompt before it reaches the cloud agent, pushing token savings to 70+% and making the agent's output noticeably better on the first try.

By giving your AI agent a map instead of a flashlight, vexp turns every coding session from an expensive guessing game into a precise, focused workflow that ships faster and breaks less.