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TSP Product Health Tech / Sports

Vitera: Health Analytics Platform for Athletes

How Tech Stack Playbook designed and built a mobile health analytics application integrating Apple Health data, proprietary scoring algorithms, and AWS infrastructure for competitive athletes and high performers.

iOS
App Store Live
4 Scores
Recovery ยท Strain ยท Vitality ยท Sleep
Apple Health
Native Integration
Bedrock
AI Code Review
Executive Summary

Overview

Vitera is a health analytics platform purpose-built for athletes and high performers who demand more than consumer fitness trackers provide. Where Whoop and Oura offer opaque scores, Vitera delivers transparent, configurable performance intelligence โ€” full visibility into how scores are calculated and what drives them.

Built from the ground up as a production-grade iOS app using React Native with Expo, powered by a fully managed AWS backend with DynamoDB, AppSync GraphQL, and Amazon Bedrock for AI-powered development pipeline quality assurance.

The Challenge

The Problem with Existing Solutions

The health tracking market is saturated with products that collect data but fail to make it useful. Athletes face consistent frustrations.

  • Black box scoring โ€” platforms generate numbers with no visibility into how they're calculated
  • Fragmented data across Apple Health, Strava, Hyperice, and separate sleep apps
  • Missing recovery modalities โ€” no scoring for contrast therapy, compression, or mobility work
  • No athletic context โ€” generic trackers treat recreational joggers and competitive players the same
  • No way to interrogate or adjust scores when they feel wrong
What We Delivered

Platform Architecture

Every layer was purpose-built for transparent health analytics โ€” from the scoring engine to the mobile app to the backend data pipeline.

01
Proprietary Scoring Engine
Multi-dimensional scores โ€” Recovery, Strain, Vitality, Sleep โ€” all fully decomposable with visible inputs, weights, and drivers.
02
React Native + Expo App
Native iOS app with NativeWind styling, dashboard-first design, drill-down score views, and workout/recovery session logging.
03
Apple Health Integration
Native HealthKit for heart rate, HRV, sleep stages, workouts, and calories โ€” persisted in DynamoDB for long-term analytics.
04
AppSync GraphQL API
Schema-first design with real-time subscriptions, enterprise-ready query layer, and typed data contracts.
05
Bedrock PR Review Agent
AI-powered code review analyzing quality, completeness, and architectural adherence before human review.
06
Workout Duplication
Purpose-built feature allowing users to copy data from previous sessions when workouts weren't captured by their device.
Key Insight
Every Vitera score is fully decomposable. If a recovery score is lower than expected, the user can immediately identify whether it was driven by poor sleep, insufficient contrast therapy, or elevated resting heart rate โ€” and adjust accordingly.
Results

Outcomes & Business Impact

Live on App Store Production-grade iOS application available for download with full Apple Health integration.
Transparent Scoring Every composite score decomposes into visible inputs and weights โ€” no black boxes.
AI-Powered DevSecOps Bedrock agent reviewing every PR plus automated DynamoDB security scanning in CI/CD.
Contrast Therapy Scoring First platform to score cold plunge and sauna cycles as quantified recovery modalities.
Technical Stack

Technologies Used

React Native Expo NativeWind Apple HealthKit AWS AppSync DynamoDB Amazon Bedrock GraphQL GitHub Actions