Peter Paul
Lazan
2025
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Vyralyx — AI-Powered Fitness
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Vyralyx — AI-Powered Fitness

An AI-powered fitness mobile app that generates personalised workout plans, tracks progress, and provides real-time coaching feedback.

React NativeExpo RouterTypeScriptNativeWindSupabase
GitHub ↗

Overview

Vyralyx is an AI-powered fitness companion that generates personalised workout plans based on goals, experience level, and available equipment — then adapts those plans based on logged performance over time. Built entirely in React Native for cross-platform iOS and Android delivery.

Key Features

  • AI-generated workout plans personalised to goals and fitness level
  • Exercise library with step-by-step instructions and sets/reps tracking
  • Progress tracking with charts showing strength and volume trends over time
  • Real-time coaching feedback during workouts
  • Supabase-powered sync — workouts persist across device reinstalls

Technical Stack

LayerTechnology
MobileReact Native, Expo Router
StylingNativeWind (Tailwind for RN)
LanguageTypeScript
BackendSupabase (PostgreSQL, Auth, Storage)

Architecture Decisions

Expo Router

File-based routing in React Native brings the same DX as Next.js App Router to mobile — no manual navigator configuration, deep links work out of the box, and tab/stack navigation is expressed as a directory structure.

Adaptive Plans

Workout plans are stored as JSON structures in Supabase. A lightweight recommendation layer compares the user's logged RPE (rate of perceived exertion) against targets and adjusts the next session's load accordingly — no full AI call required for each adaptation.

Lessons Learned

NativeWind's responsive utilities don't translate 1:1 from the web — breakpoints are meaningless on a 390px wide phone. Design for mobile-first with explicit platform checks (Platform.OS) for layout edge cases.

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