I built this because nothing else worked for my brain

Why I was the right person to build this

My background sits at an unusual intersection. I studied computer science and cognitive science at Northwestern, spent 15 years leading engineering teams in Silicon Valley, and have real experience in sound production from film school and teaching audio classes.

Omix needed all three: the engineering to build a real-time adaptive audio engine, the cognitive science to understand how sound affects attention, and the audio production chops to make it actually sound good.

How the adaptive engine works

Omix detects what you're working on and how productive you are, then reshapes the music in real time, adjusting layers, energy, and feel to match how you're working.

This isn't based on time of day or heart rate. It's based on what you're actually doing at your computer. Stanford's SHAPE Lab published research in December 2025 showing that real-time audio feedback anchors attention better than static sound, specifically for people with ADHD. Omix works on that same principle.

All activity detection runs locally on your machine. No keystrokes, app usage, or personal data are transmitted.

Real music, not generated audio

Every track in Omix is composed by human producers across four genres: Deep House, Lofi Beats, Post Rock, and Jazz Fusion, plus six ambient scenes. No AI-generated filler. The music is designed to support focus without demanding attention.

Tested with 100+ beta users

Before launching publicly, Omix went through a beta testing round with over 100 participants toward the end of 2025. The feedback shaped everything from the genre selection to the sensitivity of the adaptive engine. Users consistently reported that the real-time responsiveness was what made it stick compared to static alternatives.