See what changes on your body.
COHORT gives self-experimentation a structure. Run n-of-1 experiments with a baseline, a fixed protocol and the published evidence shown beside them, instead of guessing with a spreadsheet and a podcast protocol.
Invite-only · free for the founding cohort · no card required
- Whoop
- Lab PDFs
You already run the experiment. You just can’t read the result.
You change the stack, wait three months for bloodwork, and still can’t say what moved the number — because you changed three things at once and the influencer protocol was built for someone else’s biology.
Your own data is the only data about your body, and right now it has no baseline.
Three steps. Real controls.
Bring your record.
Labs, wearables, meds, supplements — one place. Upload lab PDFs or connect Whoop.
Pick a goal.
Start from a marker you want to track. If another running experiment already targets it, COHORT warns you before you start — so two interventions don't muddy one result.
Run it clean.
Baseline, one variable, defined duration, end-measures shown with the protocol. When it ends, you read a before-and-after with a confidence grade that says how far to trust it.
What the work actually looks like.
Real screens from COHORT — your record and the daily protocol, all in one place.
One variable at a time.
Each experiment runs a baseline before the intervention, and COHORT warns you when another running experiment targets the same marker, so the result can be compared with its baseline.
Every finished experiment becomes a cited record.
What was run, how it was measured, and what moved. Together they will build a structured outcomes database for self-experimentation. The protocol library will be ordered by goal fit, evidence grade and how soon it reads out, so you can choose your next cycle with the evidence in front of you.
Cohort statistics are aggregate-only and suppressed below n=11. Your raw data is shown to no one unless you publish a share page.
The first 100 set the standard.
The founding cohort is capped at 100, by invite. Founding members run the first experiments, shape the protocol library, and are credited as founding contributors to the dataset. COHORT is free.