Round 1 Winners!
Proof of Usefulness Report

Yogger

Analysis completed on 3/18/2026

-16.5
Proof of Usefulness Score
Lab Mode

The core concept of Yogger offers genuine utility by using ML for sensorless motion tracking in physical therapy. However, the submission contains multiple severe red flags, including unverifiable and exaggerated claims like 'most people have used my product' and irrelevant 'marketcap' metrics, indicating a lack of serious traction or truthful reporting. Consequently, the project receives a negative penalty score.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+150
Audience Reach Impact+0
Technical Innovation+30
Evidence Of Traction-200
Market Timing Relevance+50
Functional Completeness-45
Subtotal-15
Usefulness Multiplierx1.1
Final Score-16

Project Details

Project URL
Description
Bringing the power of machine learning to physical therapy. Our sensorless technology allows Physical Therapists and patients to quickly gather movement data from video simply through a phone, tablet or webcam. For Physical Therapists: Yogger gives Physical Therapists the ability to support their outcomes with objective, and consistent data. Whether it's analyzing range of motion in a dynamic movement, automating routine tests or performing gait analysis, Yogger makes it easy. For Patients: Yogger gives patients the ability to gain insight into their progress while also providing an engaging experience for home exercise programs. Patients can get live feedback on their form, have reps automatically counted, and track progress! For Telehealth: Yogger allows a seamless transition between providing care in person and via telehealth. During a telehealth session, our tool gives PT’s the ability to gather measurements and do assessments from their patient’s webcam, phone, or tablet.

Algorithm Insights

Market Position
Early stage requiring focused development
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline