Proof of Usefulness Report

RationalAi

Analysis completed on 3/18/2026

-23

Proof of Usefulness Score

Lab Mode

The submission contains multiple severe red flags, including unsupported audience claims ('everyone'), fabricated traction ('most people have used my product'), and nonsensical financial metrics ('all time marketcap: 2500000'). While the conceptual application of ML in financial risk management is valid, the extreme lack of evidence and poor response quality result in a negative final score.

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Score Breakdown

Real World Utility+2.5

Audience Reach Impact-10.0

Technical Innovation+1.5

Evidence Of Traction-12.5

Market Timing Relevance+1.0

Functional Completeness-2.5

Subtotal-20

Usefulness Multiplierx1.15

Final Score-23

Project Details

Project URL

rationalai.co

Description

We combine subject matter expertise, machine learning and big (or small) data to provide our clients insights into managing risk, improving operations and formulating strategy. Our philosophy is: man + machine beats only man or only machine

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