Health & Longevity 🧬

Organize and classify everything about health and longevity — the Blueprint protocol, routines, nutrition, biomarkers, interventions, studies, and BCI/neurotech — into a visual knowledge graph. Each item is typed and evidence-graded, and publishes into the Grove(the global graph). Classify your own and grow it.

⚕️ Educational knowledge graph — not medical advice. Evidence levels are shown so unproven ideas aren't mistaken for established fact. Consult a qualified clinician before changing anything.

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Clustered by category; thin lines are curated relations; green edges are community evidence — they thicken where more n-of-1 results agree. Click a node.

Select a node to see its evidence level, summary, and source.

Track a self-experiment

Pick an intervention and a biomarker, log readings across a baseline then an intervention period, and a deterministic engine tells you whether your numbers actually moved — then publish the result as an n-of-1 study. Stored in your browser.

n-of-1 self-experiments 🔬 — does it move YOUR numbers?

baseline ends

Run a protocol stack

Combine several interventions into a daily protocol with staggered start dates, track adherence and multiple biomarkers, and the engine attributes which intervention co-moves with which marker — flagging confounding honestly (association, not proof).

Protocol stack 🧪🥗 — which intervention moves which marker?

interventions (each gets a start date — stagger them to separate effects)

biomarkers to track

📥 Import wearable / lab / tracker data (Oura, Apple Health, CGM, lab CSV…)

Drop or paste a CSV/JSON export. A date column plus metric columns become readings; yes/no columns become adherence. Aliases (RHR, HRV, VO2Max, ApoB…) map automatically.

Your insight digest

A deterministic period report across everything you track — biomarker trends, the strongest intervention signals, and adherence — that you can publish to the Grove or export.

Insight digest 📈

Log readings (or import data) in your experiments and stacks above, then your digest appears here.

Recommended for you

Deterministically ranked from community cohorts and what you track — high-evidence interventions you haven't run yet, prioritizing markers trending the wrong way.

Recommended for you ✨ — high-evidence interventions you haven't tried

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Community cohorts

Published n-of-1 results aggregated across contributors — “N people tried X → median ΔY%”. Aggregated personal experiments, not a clinical trial.

Community cohorts 👥 — aggregated n-of-1, weighted by evidence

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Classify & add knowledge

Evidence is auto-detected (RCT > meta-analysis > cohort > mechanistic > n-of-1 > anecdotal) so nothing unproven is presented as fact. 6 levels.