Open-Sourcing My Biology
Publishing genome, bloodwork, protocols, and AI tools on GitHub
The 30-Second Version
Duration: 40 seconds Compliance: No compound names needed in this one - it's about the concept and the tools.
"I'm doing something that might be either really smart or really stupid.
I'm publishing my entire genome, my bloodwork, and every protocol I'm running - publicly. On GitHub. For free.
Plus the AI tools I built to analyze all of it.
Here's why: the health optimization space has a transparency problem. Everyone shares results but hides the work.
I think it changes if people can see real data, from real people, making real decisions. With the genetic reasoning behind every single choice.
I'm a tech founder. I build in public. This time the product is my own biology.
I work with a medical team. Everything linked in bio. Fork the code. Use it on your own data. Let's go."
Last line (quotable): "Building in public - except the product is my own biology."
I'm making my health data public.
My genome. My bloodwork. My protocols. The AI agents I built to analyze all of it.
Everything goes on GitHub. Here's why. 🧵
The health optimization space has a transparency problem.
Influencers share results but hide protocols. Companies sell tests but don't explain the data. Doctors gatekeep information behind appointments.
I think the whole game changes if people can see real data from real people making real decisions.
What I'm publishing:
- 178 analyzed genetic variants with full interpretations
- Longitudinal bloodwork (100+ markers tracked over time)
- Full supplement and protocol stack with genetic reasoning for each item
- The AI agents I built to do the analysis
- The research library behind every decision
Why this matters beyond me:
If 100 people published their genetics + protocols + outcomes, we'd have a better dataset than most clinical trials.
N=1 is anecdotal. N=1,000 with genetic data? That's research.
I want to be one of the first N.
The AI tools are the part I'm most excited about.
I built agents that:
- Analyze raw 23andMe data against clinical databases
- Cross-reference genetic variants with supplement protocols
- Flag drug-gene and supplement-supplement interactions
- Mine Reddit/TikTok for trending health questions
All open source. All on GitHub.
I'm a tech founder, not a doctor. I build things.
This is me building in public - except the product is my own biology.
Follow along. Fork the code. Use it on your own data. Let's make health optimization open source.
[Links to repos]
This is what I put in The Manual every week.
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