experimental · 2026

My Telemetry

Longitudinal biomarker analysis across multiple yearsDaily guidance generated from actual personal trendsUnified telemetry from labs, Apple Watch, and external providers

Challenge

Health data is fragmented across vendors and hard to translate into practical day-to-day decisions.

→Create one source of truth for personal health telemetry
→Turn raw biomarker and wearable data into clear actions
→Enable AI-assisted optimization based on actual individual history

Approach

Unified ingestion layer

Designed a normalized pipeline for labs, genetics, wearable streams, and provider APIs so trends can be interpreted over time.

Health intelligence interface

Built dashboards that prioritize signal over noise, highlighting trend direction, anomaly context, and confidence markers.

Actionable daily recommendations

Shaped AI-assisted guidance around measurable inputs and feedback loops, avoiding generic wellness advice.

Outcomes

→Longitudinal biomarker analysis across multiple years
→Daily guidance generated from actual personal trends
→Unified telemetry from labs, Apple Watch, and external providers
→Strong proof point for personal AI + quantified health UX.
→Demonstrates complexity handling in multi-source data design.
→Creates a credible narrative for health-tech product opportunities.

“This is what personal health software should feel like when it actually knows you.”
Health-tech Founder

My Telemetry daily tracker view — Daily tracker for medications, routines, and compliance.

My Telemetry biometrics and blood marker analysis — Longitudinal biometrics with Apple Health and blood panel trends.

Next project

Tiny Finance

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