An instrument for the measured life.
Aggregate every signal. Mine your own data. Run your own trials.
Under ConstructionMost biohackers track dozens of signals — sleep, HRV, supplements, workouts, mood, blood markers — across a fragmented stack of apps and wearables. The data exists, but the connections between input and outcome remain hidden in the noise.
I/O aggregates every signal you already collect, runs rigorous associative-rules mining on-device, and surfaces input→outcome hypotheses with full statistical transparency. When a hypothesis looks promising, I/O converts it into an N-of-1 crossover trial — the same validation standard used in clinical research, applied to your own data.
I/O's mining engine doesn't guess. It applies a battery of statistical methods directly to your local data — no cloud processing, no black-box LLM inferences. Every surfaced rule carries support, confidence, lift, FDR-corrected p-value, and sample size.
Pearson r, Spearman ρ, and distance correlation (Székely et al.) computed for every input-outcome pair. Reports the strongest with full transparency.
Auto-generates candidate confounder sets and computes partial correlation. Flags pairs where conditioning reduces effect size by ≥40%.
Decomposes outcomes into day-of-week effect, baseline trend, and residual before any correlation is computed.
Respects AR(1) autocorrelation via 7-day block permutation (Politis & Romano, 1994). No naive shuffling that inflates false positives.
Benjamini-Hochberg exact step-up on all mined rules. Only associations with pFDR < 0.1 surface by default.
Bootstrap stability + leave-2-out replication. Rules below 0.7 carry a warning; ≥0.85 earns a "stable" chip.
Association is not causation. When the mining engine surfaces a promising rule, I/O can spin up a randomized crossover trial with AB, ABA, or multiple-baseline design — randomized schedule, pre-registered hypothesis, effect-size tracking with confidence intervals, and a verdict computed at completion.
You are n = 1, but the methodology is the same standard used in precision medicine. No placebo effect hand-waving. No "I think it works." Just protocol and statistical verdict.
Your health data never leaves your device. I/O stores everything in a local SQLite database and runs the mining engine in an isolated compute thread. No analytics, no telemetry, no cloud dependency for core features.
I/O is part of a tightly integrated family of instruments. Each product stands alone, but together they cover the full loop: track → model → mine → validate.
The only PK tracker that models your entire supplement and medication protocol in real-time. Dose timing, half-lives, bioavailability — rendered as concentration curves you can read at a glance.
Aggregates every signal, mines for associations, and validates with N-of-1 trials. The validation layer that turns tracking into knowledge.