Triathlete builds AthleteData, an AI coach that consolidates fitness data from 8+ apps and texts you daily training advice

A solo builder created AthleteData, which connects to Garmin, Strava, WHOOP, Intervals.icu, Wahoo, Withings, Apple Health, and Hevy to pull all your workout data into one place. The system uses Claude (an AI language model) to analyze your training load, recovery readiness, and anomalies in heart-rate data, then proactively messages you via Telegram or WhatsApp each morning with a go/no-go decision on your planned workout.

The hardest part was unifying messy data: the same bike ride appears in three different apps with different timestamps and rounded numbers. AthleteData automatically reconciles duplicates and computes training metrics like CTL/ATL/TSB (standard coaching metrics that track fatigue and readiness) and power/pace curves—work that previously required manual eyeballing of 6+ apps every morning.

For endurance athletes juggling multiple training platforms (Garmin watch, Strava social tracking, WHOOP recovery band, coaching apps), this eliminates the daily ritual of checking each app separately to decide if today's workout is safe or if you need rest. Instead of guessing based on incomplete data, you get one AI-driven recommendation that sees your complete training picture.