Proof of Usefulness Report

Rice Analytics

Analysis completed on 3/23/2026

+46.2

Proof of Usefulness Score

You're In Business

The submission relies on hyperbolic and unsubstantiated claims (audience of 'everyone', 'most people have used my product') while lacking concrete metrics for active users or actual revenue. The technical description of RELR lacks verifiable depth, and the long duration since launch (2006) paired with an unclear 'all time marketcap' of 500,000 signals minimal to negligible verifiable market traction. A quality factor of 0.5 was applied universally due to vague and unsupported answers.

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Score Breakdown

Real World Utility+25.0

Audience Reach Impact+5.0

Technical Innovation+15.0

Evidence Of Traction+1.25

Market Timing Relevance+5.0

Functional Completeness+1.25

Subtotal+52.5

Usefulness Multiplierx0.88

Final Score+46

Project Details

Project URL

riceanalytics.com

Description

We invented Reduced Error Logistic Regression (RELR). RELR is a completely automated and general machine learning and AI technology. We license our technology and serve as machine learning architects for businesses that wish to implement AI and machine learning.

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