
Mirror Fitness
Rule-based form coach for bodyweight workouts. On device
Details
- Follow on
- Categories
- Mobile AppsFitness
- Use Cases
- Workout TrackingHabit Building
- Target Audience
- AthletesPersonal trainers
- Pricing
- Free
- Platforms
- Mobile
About Mirror Fitness
Mirror Fitness is a real-time form coach for bodyweight workouts on iPhone. Prop up your phone, do your reps, and the app counts each one while grading your form rep-by-rep — with a specific tip after every rep so you know what to fix. Today it handles squats, push-ups, and planks. More exercises are coming, but I'm intentionally going slow on adding them because each one takes weeks to tune properly. What makes Mirror Fitness different from the dozen AI fitness apps already on the App Store: • Rule-based, not AI. Every score and tip comes from form rules I hand-wrote over Apple's Vision pose stream. No LLM, no model inference, no inflated promises. You could read the rules if you wanted to. • 100% on-device. No video is recorded, uploaded, or sent anywhere. There are no servers — the app literally cannot leak your data because the data never leaves your phone. • Free. No signup, no email, no ads, no paywall. There's nothing to upsell because there's nothing to upsell to. comes from hand-written form rules.
Product Insights
Mirror Fitness is a mobile fitness utility providing rule-based form coaching for bodyweight exercises with a focus on privacy. It operates entirely on-device to facilitate workout tracking and habit building without data collection.
- Operates entirely on-device with zero video recording, uploading, or data leakage risks.
- Utilizes hand-written form rules over Apple Vision pose stream instead of AI model inference.
- Completely free pricing model with no signups, no ads, and no paywalls.
- Provides rep-by-rep grading and specific correction tips for squats, push-ups, and planks.
Ideal for: Mirror Fitness is ideal for athletes and personal trainers who require localized form coaching and workout tracking without compromising data privacy.
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Comments (1)
This is currently in testing! I would love for everyone to try it out and share what seems bad, crowded, and unfriendly!