Outfox Your Clock
Decision-grade health intelligence
This is a personal overview of what I’m building and how I think.
What I’m focused on right now
Building systems that turn complex, fragmented data into decision-grade intelligence.
Currently applied to health through Vavida and Clockbusters.
Why this matters
Most industries produce enormous amounts of data.
But decisions are still shaped by incomplete, conflicting,
and selectively used information.
Health is simply the domain where this gap becomes critical.
How I approach problems
-
Focus on signal, not narrative
-
Structure complexity into decision frameworks
-
Identify what actually performs - not what is claimed
What the Clockbusters Intelligence system answers
-
Which information is credible
-
Who, worldwide, is best equipped to solve a specific problem
What makes this different
We won't fix bias.
We can't eliminate misinformation.
So we didn’t try.
We built a system that makes both irrelevant.
Built on signal, not narrative.
Structured, not fragmented.
Continuously evaluated, not static.
Trust is not claimed.
It is derived from data.
That principle guides everything I build.
Background
I’ve spent over 30 years building systems in complex global environments -
most notably in music publishing through Parasongs International.
That experience shaped how I approach data, incentives, and truth.
Why this became personal
A series of health events forced me to rethink performance.
Not short-term output -
but sustainable performance.
Current work
-
Vavida / Clockbusters — health intelligence infrastructure
-
Parasongs International — global music rights management