Observe
See what moved today, relative to your own baselines.
Self-experiment cockpit · Invitation only
For biohackers who already track the signal and need a cleaner way to act on it.
Know what changed.
Ask why.
Test the next move.
HealthWatch turns labs, CGM, wearables, protocols, and cited research into one daily operating picture. No generic score. No scattered spreadsheets. Just the loop.
- Sources
- 1,400+ curated longevity cards
- Context
- Live labs, CGM, wearables, stack
- Method
- N-of-1 observe, test, re-check
Today's flight plan
Stabilize glucose after lunch. Re-check HRV before changing the stack.
Manual actions
01
Walk 20 minutes after lunchexisting protocol - low risk
accept02
Log dinner timingfills causal timeline gap
log03
Ask why HRV movedopens chat with context
askState readout
82readiness
Current state is strong, but glucose variability is the active watch item.
The product
One loop.
Not ten dashboards.
HealthWatch is built around the self-experiment day: observe the signal, ask why, run the smallest useful test, and re-check before changing the protocol again.
Ask why
Open chat with the signal, timeline, and evidence already loaded.
Test
Run only the protocol change worth measuring.
Re-check
Compare the next lab, CGM window, or wearable trend before changing again.
Why biohackers use it
Everything you already collect,
finally pointed at a decision.
Your physiology in one read
Labs, CGM, wearables, stack, protocols, food, and FHIR context stop living in separate tabs.
Ask why with receipts
Chat starts from your current state, then grounds claims in curated longevity sources, PubMed, and provenance.
Test, re-check, decide
Turn hunches into N-of-1 experiments with baselines, washout windows, outcomes, and verdicts.
Invitation only
Bring the data.
HealthWatch brings the loop.
Connect your streams, ask what moved, see the evidence, and run the next experiment with less noise.