Round 1 Winners!
Proof of Usefulness Report

Ridge AI

Analysis completed on 3/17/2026

+74.8
Proof of Usefulness Score
You're In Business

Ridge AI proposes a machine learning solution for video-based human motion identification, which has valid real-world utility. However, the submission suffers from extreme hyperbole ('most people have used my product', reach 'everyone') combined with a complete lack of verifiable evidence. The technical details are generic ('Software Development'), and the financial metrics are confusingly stated ('marketcap: 2500000' in place of monthly revenue). Due to these severe red flags and unsubstantiated claims, the project receives minimum multipliers across the board, resulting in a low score consistent with minimal verifiable traction.

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+50
Audience Reach Impact+0
Technical Innovation+22.5
Evidence Of Traction-12.5
Market Timing Relevance+25
Functional Completeness+0
Subtotal+85
Usefulness Multiplierx0.88
Final Score+75

Project Details

Project URL
Description
Ridge AI is an early-stage AI company. Ridge software can identify human motion in live or recorded video using machine learning. We can understand what people are actually doing in video based on their actual movement.

Algorithm Insights

Market Position
Growing utility with room for optimization
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