Kinesia
Friends who tried to get into fitness kept quitting within weeks. Every app gave them a workout. None explained why a specific exercise targets a specific muscle, or what the evidence says about rep ranges and progressive overload. So they followed plans blindly, hit a plateau, and stopped.
Kinesia is a React Native workout tracker built around one constraint: every exercise recommendation must cite a published study. Not "exercise science" in the abstract. Specific citations. Barbell back squat activates vastus lateralis at 85% MVC. Source included.
Apps like iMuscle 2 and JEFIT BodyMap already solve the "tap a muscle, see exercises" problem well, with far more content than a v0.1.0 project. Kinesia's angle is different: it tracks workouts and builds habits, but the exercise database is a research database first. Form cues are cited. Load progressions reference specific studies.
The stack is React Native and Expo for mobile, Three.js for the anatomical model, Fastify and Supabase on the backend, and Turborepo to keep the monorepo manageable. Gamification follows the Duolingo pattern: streaks, XP, badges. Simple, but streaks work.
v0.1.0, early in development. The 3D model, exercise database, and habit loop are the foundation. The bet is that people who understand why an exercise works stick with it longer than people following a plan on faith.
Co-Founder & Design Engineer · Umbra Labs · 2025 - Present
Research-CitedExercise Data
OptimizeTime Philosophy
Streaks + XPHabit System
React NativeExpoThree.jsFastifySupabaseTurborepo
