WurQ provides a lightweight wearable sensor that automatically detects and counts over 100 exercises across metabolic conditioning, gymnastics, and weightlifting, capturing biomechanical data such as rep cycle time, range of motion, and heart rate.
Funding
Funding not disclosed
Founders
Product
Problem
Athletes and coaches lack a simple way to capture detailed performance data across a wide range of movements, making it difficult to track volume, technique, and recovery accurately.
Solution
WurQ offers a lightweight wearable sensor that automatically detects and counts over 100 distinct exercises spanning metabolic conditioning, gymnastics, and weightlifting. The device records biomechanical metrics such as range of motion, rep cycle time, and heart rate for each movement, then aggregates the data into weekly and monthly workload visualizations. Users can assess power output, compare performance with peers, and plan progressive training cycles based on objective trends, all without manual logging.
Target Audience
Primary users are competitive athletes, strength‑and‑conditioning coaches, and fitness enthusiasts who train across metabolic conditioning, gymnastics, or weightlifting and need precise, automated performance analytics.
Features
- Automatic detection and counting of 100+ exercises across three training modalities
- Real‑time capture of rep cycle duration, range‑of‑motion percentage, and heart‑rate per rep and transition
- Integrated workload dashboard showing daily active time, rest periods, and 28‑day rolling averages
- Power scoring algorithm that combines weight moved, movement efficiency, and stamina metrics
- Cohort comparison tools for benchmarking against teammates or community members
- Cloud‑based data storage with exportable reports for coaches and athletes