Stop guessing what works on you. Prove it.
You experiment constantly — supplements, wearables, sleep protocols, training, devices, peptides — but never properly. No baseline, no controls, and a stack that just keeps growing.
COHORT turns any intervention into a real experiment. It checks the science, builds your protocol — hypothesis, baseline, duration, the markers that matter — so you finally know what’s actually working.
Psyllium husk for elevated LDL
10g/day with the evening meal · 12-week protocol
Every claim cross-checked against the literature — every experiment cites its source:
Someone mentions a new device. A podcast hypes a supplement. So you try it.
A friend swears by a training block. You try that too. But be honest about how that actually goes:
No baseline, no defined duration, no markers you decided on before you started.
You didn't read the literature — you took the recommendation and ran.
You changed three things at once, and now you can't tell which one did anything.
The new peptide, the fasting window and the sleep change might be working against each other — but the complexity hides it.
Nothing keeps the protocol on track, and nothing flags when two interventions shouldn't be stacked.
So you “feel better” or “feel nothing,” and you have no idea why. That’s not biohacking. That’s expensive guessing. COHORT turns it into a real experiment.
There are great tools. None of them close the loop.
| Category | Tools | What they give you | What they miss |
|---|---|---|---|
| Tracking | Cronometer, MyFitnessPal | Logs what you eat | No outcome, no cohort |
| Wearable / recovery | Whoop, Oura | HRV, sleep, recovery | Correlation, not a controlled n=1 |
| Continuous data | Levels | Real-time glucose | One signal, no experiment library |
| Biomarkers | Function, InsideTracker | Your labs, ranked | What's off, not what to do |
| Literature | Examine, FoundMyFitness | What the studies say | Tested on someone — not on you |
| Structured n=1 outcomes | COHORT | What worked for people like you | Nothing — that’s the point |
Run real experiments on yourself — backed by a database that makes each one smarter.
Everything you need to run real experiments on yourself — and the database that makes every experiment smarter.
Pick an intervention — magnesium glycinate, zone 2, cold exposure, a 16:8 window. COHORT structures it into a real experiment: the evidence behind it, a clear hypothesis, your baseline, the duration, and the markers that actually matter.
Heard it on a podcast? Saw it in an X post or a YouTube clip? Drop it in. COHORT validates the claim against the scientific literature, then turns it into a proper protocol — baseline and end measurements, a defined intervention, a fixed duration.
The body is too complex to read one marker in isolation. Upload bloods, hormones, DNA and nutrition — or connect what you already use and COHORT pulls it in automatically. The more context, the more interactions it surfaces.
Don't want to share your bloods, DNA, or anything else? Skip every upload. Just tell us the marker to move and by how much — LDL down 15%, HRV up 10 — and COHORT hands you the experiments to run.
Name what you're chasing — LDL −15%, better HRV, deeper sleep — and COHORT hands you experiments proven to move it. Stack them into a pipeline.
Your base protocol and active experiments delivered as daily reminders, plus a scheduler that tells you what to get tested and when — so every experiment has a clean before-and-after.
Every supplement, device, lab and subscription tracked in one view. See exactly what you're spending — and which interventions actually earn their place.
Every experiment you finish feeds the largest self-reported record of what works in human health — and feeds you back the response for people like you.
Several ways in. One loop that compounds.
Drop in a claim from a podcast, an X post or a YouTube clip and COHORT validates it against the literature. Or just name the marker you want to move and pull from a database of experiments built to move it.
Upload your context — blood panel, DNA, hormones — and connect your devices for an instant read. COHORT shows where each marker sits against its ideal range (adjust it if you disagree), then turns any marker into a goal.
Baseline, intervention, duration, end measurements. COHORT finds the scientific proof and structures it into a real experiment — using your full context, or just your target.
Daily reminders keep your protocol on track. The test scheduler tells you what to measure and when, so every experiment has a clean before-and-after.
Show your circle what actually moved. Inspire them, give them hope, prove you can improve your health without leaning on heavy medication.
Your result joins the database, anonymized and structured. In return, you see what's working across thousands of self-experimenters — filtered down to people like you.
One result, yours. Logged with a baseline — already more than a Notes file.
Enough people in a cohort ran it that the pattern holds across data like yours.
Methodology reviewed against the literature and real labs. The strongest signal we publish.
Population studies tell you what happened to everyone. You need what happened to people like you.
“Studies suggest” is useless when you’re a 38-year-old with poor sleep, an ApoE variant and a resting HR of 48. COHORT matches you to the people who actually share your biology, goals and baseline — then shows you what moved for them. That’s the difference between “studies suggest” and “47 people like you ran this, and here’s exactly what moved.”
Cohorts are matched on age band, sex, baseline marker tertile and training status — not a vibe. “Users 87% similar to you tried this; 73% saw improvement.” Explainable, not a black box.
Every record reads the same: biomarker → intervention → expected effect → cost → effort. Each one cited to the literature it came from. EXP-014 is a record, not a blog post.
Baseline → intervention → re-measure, grounded in real labs and your wearable data. LDL 142 → 118 means something because it was measured the same way, twice.
Beyond the spreadsheet, the subreddit, and the n=12 study.
Structured protocols with your context attached — not scattered notes that take forever to analyze and never connect to each other.
Aggregated outcomes from people like you, not anecdotes buried 200 comments deep.
A friend swore by it. A podcast hyped it. COHORT checks it against the actual literature before you spend a month and €200 testing it.
Real-world data on real bodies — including yours — instead of one more n=12 on mice you can't apply.
No sponsored protocols, no pay-to-win ratings. Just your data, and what actually works for you — with receipts.
Built for people who actually run experiments.
Screens from the COHORT MVP, light theme.
This is for you if…
- You take a stack of supplements and peptides and keep tweaking it.
- You wear a Whoop or Oura and get bloodwork a few times a year.
- You've tried more things than you can remember which worked.
- You go to a biohacker meetup and leave with ten new things to try.
- You're tired of protocols tested on someone who isn't you.
- You want to know what works for you — with a baseline, not a vibe.
If you read this far and knew what n=1 meant, you’re the cohort.
What this is, and what it isn't.
Structured self-experimentation, framed as opt-in research participation — the Open Humans and Quantified Self model. Talk to a clinician before you change a protocol.
Private by default. You choose what you publish, marker by marker. Nothing leaves your account until you decide to contribute it back.
That's the point. We show you your cohort — hundreds of people with data like yours — not one influencer's story sold as universal.
Every experiment you run makes the database smarter. Every result someone contributes makes yours more precise.
The more biohackers measure, the closer we get to the one thing the supplement industry, the clinics and the gurus have never built: a real-world map of what actually works in human health.
You’re not just optimizing yourself. You’re building the dataset that ends the guessing — for everyone.
Run your first experiment this week.
Design it in minutes. Measure what matters. Contribute your result to the biggest n=1 database in the world — and finally see what works on someone like you.
Built by self-experimenters, for self-experimenters.