I'm building Omnio, a health-tracking product that correlates signals across wearables, labs, and daily life.
Health tracking has a data-collection problem largely solved and a correlation problem wide open. Wearables, labs, symptoms, sleep, nutrition, and context all live in separate silos — each with its own app and its own story. The useful signal usually shows up between those silos, not inside any one of them: why HRV crashed after last week's travel, what's driving the slow drift in resting heart rate, which of ten recent changes actually moved glucose. That's the bet I'm making with Omnio.
Most of what exists today either dumps raw numbers on you or smooths them into insights too vague to act on. Omnio aims for something narrower: surface the correlations a careful person would find themselves, given the time to go looking.
I'm also the engineer building it, start to finish. If you want the shape of how I think, my code lives on GitHub and the more formal track record is on LinkedIn.
Reach me at mac@getomn.io.