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RepStandard
RepStandard is an iOS workout application that uses on-device computer vision and pose tracking to automatically detect and count exercise repetitions in real time. Designed for bodyweight training such as squats, push-ups, sit-ups, and planks, it eliminates manual workout logging and wearable requirements. RepStandard includes adaptive daily training routines, audio cues, dynamic AI music, and gamified progress tracking with streaks, XP, and badges while keeping all camera data strictly private on-device.
What it does
• Detects and counts bodyweight exercise repetitions in real time using on-device camera pose-tracking computer vision. • Generates adaptive daily training programs that scale automatically based on user progress and performance. • Provides voice guidance cues and dynamic AI-generated background music that adjusts tempo between set execution and rest periods. • Gamifies fitness workouts with experience points (XP), ranks, streak tracking, and shareable achievement certificates.
Why it works
Processes camera video feed completely on-device without cloud video streaming or privacy compromises. Eliminates manual logging or expensive wearable tracking hardware by relying solely on smartphone cameras. Incentivizes workout consistency through RPG-style XP ranks, streak mechanisms, and milestone badges. Dynamically adjusts music tempos and provides audio rep cues to maintain user pacing during workout sets.
Category: Health & Wellness
Team Size: 2-10
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As of 2026
Health & Wellness
Revenue: 0-$100k ARR
Computer vision mobile app that counts bodyweight exercise reps in real time.
Overview
RepStandard is an iOS workout application that uses on-device computer vision and pose tracking to automatically detect and count exercise repetitions in real time. Designed for bodyweight training such as squats, push-ups, sit-ups, and planks, it eliminates manual workout logging and wearable requirements. RepStandard includes adaptive daily training routines, audio cues, dynamic AI music, and gamified progress tracking with streaks, XP, and badges while keeping all camera data strictly private on-device.
Funding status: Bootstrapped
Revenue source: Subscriptions
Customer type: B2C
Pricing: Freemium
Tech stack: Swift, SwiftUI, CoreML, Vision Framework, iOS SDK
Platform: Mobile
Integrations: iOS, Apple Health, Camera APIs
Founder story
RepStandard was created in 2026 by developer Edvinas alongside a co-builder. After discovering on-device real-time pose tracking models, they aimed to solve the frustration of manually logging sets or relying on inaccurate wearable sensors during home workouts. They built RepStandard as an AI workout app that combines computer vision rep recognition with privacy-first local processing.
What it does
- • Detects and counts bodyweight exercise repetitions in real time using on-device camera pose-tracking computer vision
- • Generates adaptive daily training programs that scale automatically based on user progress and performance
- • Provides voice guidance cues and dynamic AI-generated background music that adjusts tempo between set execution and rest periods
- • Gamifies fitness workouts with experience points (XP), ranks, streak tracking, and shareable achievement certificates.
Who it's for
- Home Workout Enthusiasts
- Calisthenics & Bodyweight Athletes
- Privacy-Conscious Fitness Users
- Casual Exercisers
Why it works
- Processes camera video feed completely on-device without cloud video streaming or privacy compromises
- Eliminates manual logging or expensive wearable tracking hardware by relying solely on smartphone cameras
- Incentivizes workout consistency through RPG-style XP ranks, streak mechanisms, and milestone badges
- Dynamically adjusts music tempos and provides audio rep cues to maintain user pacing during workout sets.
Growth strategies
- Product Hunt launch with free premium promo codes targeting early adopters
- Apple App Store Optimization (ASO) focused on computer vision rep counter keywords
- Organic social video content demonstrating real- time camera pose tracking on TikTok and Instagram
- Community referral mechanics driven by shareable gamified achievement certificates
Alternatives
Comparison overview
- RepStandard focuses on automated bodyweight rep counting using real-time on-device computer vision without external sensors or wearables.
- Alternative fitness apps like Hevy rely on manual logging of workout sets and weights, while apps like Impakt combine motion coaching with monetary incentive structures.