For a long time, my approach to health was focused on the external. I tracked my runs, monitored my pace, and built tools like RunSight to analyze my physical performance. But physical output is only half the story. To truly understand performance, you have to look at the internal biological state.

I recently decided to get serious about gathering my biometric data regularly. While there are countless apps and websites that offer to calculate your “biological age,” I hit a fundamental leadership conflict: Why should my most sensitive health data live on someone else’s server?

This question led me to build PhenoVault.

The architecture of privacy

At a fundamental level, my work is driven by three focuses: leadership, technology, and health. PhenoVault sits exactly at the intersection of these three.

From a Technology standpoint, I wanted a standalone system rather than a centrally hosted web app. I chose Tauri and Rust to build a lightweight desktop application that is secure, fast, and completely private. The data lives in a local SQLite database on my machine, not in the cloud.

From a Health standpoint, the app implements the PhenoAge2 algorithm (the 2019 corrected version developed by Morgan Levine at Yale). By inputting nine specific blood biomarkers—like Albumin, Creatinine, and Glucose—I can see my biological age and, more importantly, my “Age Acceleration.”

Moving from metrics to strategy

Building PhenoVault wasn’t just a technical exercise; it was a Leadership decision about biological sovereignty.

Most health tools treat you as a consumer of their data. By building a local vault, I am the owner of mine. It allows me to see how lifestyle changes actually affect my internal biomarkers over time without sacrificing privacy.

What’s next

This is currently a personal tool, but the roadmap is focused on expanding this sovereignty to others:

• Multi-user profiles: Moving beyond the individual to allow family-wide health tracking.
• Mobile support: Bringing the vault to iOS and Android while maintaining the local-first integrity.
• AI integration: Using local models to identify trends across biomarkers and suggest strategic lifestyle adjustments.

PhenoVault is the next logical step in my health stack. It’s where the data from my runs meets the reality of my biology—all kept safely within my own digital walls.