Hypertrack

Hypertrack is an offline-first fitness app for workouts, nutrition, analytics, sleep, steps, measurements, and supplements.

It is designed primarily for experienced lifters and gym-focused athletes who want structured tracking, clear long-term progress analysis, and practical recommendations without gamification. Hypertrack focuses on privacy-friendly local data handling, transparent analytics, and features that are intended to be understandable, evidence-informed, and mathematically grounded where appropriate. It can be used as a simple logging app but its main goal is to go beyond logging without becoming noisy, gimmicky, or opaque.

Install

Official app stores
Alternative Android distribution

Highlights

• Workout tracking with structured sets, history, and session review
• Nutrition tracking with calories, macros, and adaptive weekly intake guidance
• Statistics and analytics for performance, consistency, muscle volume, recovery, and body/nutrition trends
• Sleep and steps integration for broader recovery and activity context
• Supplement tracking, including caffeine, creatine, and custom supplements
• Offline-first local data handling
• One-way export to Apple Health and Google Health Connect
• Optional AI meal features with BYOK setup
  • AI is disabled by default
  • no mandatory cloud account
  • no provider-managed in-app billing flow

Core features

Workouts

• Log full workout sessions
• Track exercises set by set
• Support warm-up, standard, failure, and dropset-style set logging
• Track reps, weight, and RIR
• Review workout history and post-workout summaries
• View workout heart-rate summaries and workout-detail heart-rate charts where data is available

Nutrition

• Log foods, meals, and nutrition entries
• Track calories and core macros
• Track additional nutrition values such as fiber, sugar, and salt/sodium where available
• Use adaptive weekly nutrition recommendations based on the current Bayesian estimator
• Use optional AI-assisted meal capture with your own API key
• Export aggregate nutrition data to Apple Health and Google Health Connect

Statistics

• Performance and PR-oriented views
• Consistency tracking
• Muscle-volume-related analysis
• Recovery-focused insights
• Bodyweight and calorie trend analysis
• Sleep and steps context inside the statistics area

Sleep and steps

• Import and aggregate step data
• Import, process, and visualize sleep data
• Sleep day, week, and month views
• Sleep detail screens and scoring
• Sleep and steps integration into the broader analytics experience

Measurements

• Log bodyweight and body measurements
• Track changes over time in charts
• Export supported measurements to Apple Health and Google Health Connect

Supplements

• Track caffeine and creatine
• Track custom supplements
• Review supplement intake over time

Health integrations

Hypertrack supports one-way export to:

• Apple Health
• Google Health Connect

This includes supported app-recorded data such as:

• measurements
• aggregate nutrition
• hydration
• workout sessions

Hypertrack remains the source of truth for its own tracking and analytics.

Privacy and local-first philosophy

• Hypertrack is offline-first
• app data is handled locally by default
• AI meal features are optional and disabled by default
• AI usage is BYOK only (bring your own API key)
• no mandatory cloud account is required to use the app

Documentation

• Project Overview
• Adaptive Nutrition Recommendation
• Statistics Module
• System Architecture

Credits

• Open Food Facts for food database coverage
• wger for the workout database foundation

License

MIT