optiHealth is a personal health data analysis platform that combines wearable measurements with information users log about supplements, feelings, and places. It supports data from WHOOP, Oura, Fitbit, and Health Connect. Data is imported through webhooks, with backfilling handled in resumable windows. The platform analyzes a user’s data over time, including metric correlations, lagged relationships, regime shifts, and Bayesian counterfactuals based on the user’s own unaffected signals. A nightly statistical process evaluates metric pairs, and findings are shown as individual, testable claims with sample size, effect size, and confidence information. Claims are filtered using a Benjamini–Hochberg false discovery rate procedure and placebo controls. Users can explore data by overlaying two metrics, viewing them on dual axes, and selecting time ranges. optiHealth also produces forecasts for the next day or the following seven day average for HRV, resting heart rate, sleep, steps, and breathing rate. Forecast ranges are based on past forecast errors after at least 30 errors have been recorded, and actual results are scored separately when available. Typical use involves connecting a supported data source, adding relevant personal logs, reviewing statistical findings, and checking forecasts against later measurements.