EMTA: 11-Minute Training App
We built a workout app that does one thing: generate efficient training plans based on EMG research.
The Problem
Most workout apps give you 20 exercises when you need 3. They optimize for engagement, not results. We wanted something that cuts the noise.
The Solution
EMTA follows the Pareto principle: 80% of your results come from 20% of exercises. Instead of a giant exercise library, it only includes S-tier and A-tier movements—the ones with proven high muscle activation.
You pick:
- Target muscles
- Available equipment (bodyweight, dumbbells, barbell, cables)
- Time budget
The algorithm selects 3-5 compound exercises, optimizes sets/reps for your schedule, and gives you an executable plan. No BS. No 47-minute warm-up routines.
Active Workout Mode
Once you have a plan, you can run it live. The app shows each exercise with:
- Anatomical diagrams (AI-generated, so no copyright issues)
- Quick technique cues
- Auto rest timer (90s default, adjustable)
- Set/rep logging
One-tap set completion → timer starts automatically. Designed for one-handed smartphone use in the gym.
Tech Stack
- Next.js 14 (App Router, static export)
- Cloudflare Pages (global CDN, free tier)
- Zustand (lightweight state management)
- Shadcn UI + Tailwind (fast iteration, no design overhead)
- Local data (no backend, no database, everything client-side)
The entire app is ~400KB gzipped. Loads instantly anywhere.
Why We Built This
We were tired of apps that treat workouts like social media. We don't need streaks, gamification, or a community feed. We need a system that tells us what to do, tracks our sets, and gets out of the way.
EMTA is that system.
Try it: emta.tervahagn.com
Stack: Next.js, Cloudflare Pages, Zustand
Time: ~12 hours build + deploy
Lines of code: ~2,500
License: MIT (coming soon)