Same results in less time. Every exercise recommendation backed by research.
I watched friends try to get into fitness and quit within weeks. Every app gave them a workout.
Tap a muscle group. See every exercise that targets it, with the research behind each one. Every recommendation links to research, written for people who are just starting.
The content is the hard part. Writing exercise science clearly and accurately, for someone who's never stepped into a gym, is the actual product. The app is how you deliver it.
Streaks, XP, and badges keep you coming back. Simple, but streaks work. The Duolingo model applied to fitness. Miss a day and it resets. That pressure is enough.
v0.1.0. Early.
The plateau problem
Friends tried to get into fitness and quit within weeks. They followed plans blindly without understanding why exercises work. They spent too much time for mediocre results because they had no way to know which exercises were most effective for their goals. The real issue: fitness information is scattered across journals nobody reads, and apps just hand you a plan without context.
- Following workout plans without understanding why each exercise was chosen
- Spending more time than necessary for mediocre results
- Fitness research locked in academic journals that nobody outside a lab reads
- Apps that give you a plan but never explain the reasoning behind it
Barbell Back Squat
Contreras, B. et al. (2015). "A Comparison of Gluteus Maximus, Biceps Femoris, and Vastus Lateralis EMG Activity in the Back Squat and Barbell Hip Thrust." Journal of Applied Biomechanics, 31(4), 452-458.
Time optimization
Same results, less time.
Most people spend more time in the gym than they need to. They do four exercises when two would produce the same activation. The research makes this visible: compare MVC percentages across exercises for the same muscle group, and you can see which ones deliver the most per minute.
Kinesia surfaces this data so you can build a shorter workout that produces equivalent results. The goal is making exercise fit into your life, not the other way around.
Exercise Data
Research-Cited
Every recommendation links to a published study with specific activation data
Time Philosophy
Optimize
Find exercises that give the best results in the least time
Habit System
Streaks + XP
Duolingo-style consistency loop applied to fitness
3D Model
Anatomical
Tap a muscle group, see every exercise that targets it
Where it is now
v0.1.0, early development. Built between sets. The foundation is the 3D anatomical model, the exercise database, and the habit loop. The bet: people who understand why an exercise works stick with it longer.
- Exercise database where every recommendation cites a published study
- 3D anatomical model as the primary navigation for the exercise library
- Streak and XP system for daily consistency
- Time-optimized exercise suggestions based on activation data
- Monorepo structure ready to scale across mobile, web, and API