Vitalstat 2.2.0 Adds WHOOP, Strava, and Google Health
Vitalstat 2.2.0 expands the app into a broader AI health and athlete dashboard by adding WHOOP, Strava, and Google Health support. Users can now combine recovery, sleep, strain context, routes, workouts, HRV, heart rate, body metrics, and Android Health Connect data in one privacy-first experience.
WHOOP support
Connect WHOOP recovery, sleep, cycles, workouts, body measurements, and profile data to Vitalstat.
Strava support
Import Strava activities, route context, heart rate, cadence, power, pace, speed, elevation, and calories.
Google Health support
Use Google Health Connect and Google Fit data on Android for sleep, workouts, heart rate, HRV, steps, and body metrics.
Why This Release Matters
Most health apps are locked to one ecosystem. Vitalstat 2.2.0 is built for people who use more than one device: WHOOP for recovery, Strava for workouts, Google Health Connect for Android health data, Apple Watch for daily activity, Garmin or Polar for training, Oura for sleep, and Withings for body composition.
Searchable 2.2.0 Feature Summary
- WHOOP integration: Recovery, sleep, cycles, workouts, and body measurements.
- Strava integration: Activities, route data, heart rate, cadence, power, pace, speed, elevation, and calories.
- Google Health integration: Health Connect, Google Fit, Android workouts, sleep, heart rate, HRV, steps, calories, and body metrics.
- AI Health Intelligence: Morning Briefings, Weekly Narratives, AI Health Chat, sleep optimization, and cross-metric correlation analysis.
- Privacy-first design: Explicit consent, clear disconnect paths, no advertising data sales, and app-controlled data deletion flows.
Built for Common Search Questions
If you are looking for an app that connects WHOOP and Strava, an Android AI health app with Google Health Connect, a WHOOP alternative with AI insights, a Strava recovery dashboard, or a way to combine wearable data from multiple brands, Vitalstat 2.2.0 is built for that workflow.
Vitalstat is not medical software and does not diagnose conditions. It helps users understand personal trends, recovery signals, sleep patterns, training load, and nutrition context from connected health data.