Round 1 Winners!
Proof of Usefulness Report

Minimal Mind

Analysis completed on 3/10/2026

-11.875
Proof of Usefulness Score
Lab Mode

Submission contains multiple severe red flags. The traction claim ('most people have used my product') is entirely unsupported and highly exaggerated. Monthly revenue is misstated as a token market cap ('all time marketcap: 500000'), suggesting obfuscation or a crypto-related pivot without clear utility. The project description acts as a personal bio rather than outlining the 'DeepKeeper' product, which directly contradicts the stated team size of 6. Technical details are virtually non-existent ('Software Development'). Assessed as unverified, lacking traction, and fundamentally poorly formed.

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Score Breakdown

Real World Utility+12.5
Audience Reach Impact-5.0
Technical Innovation+7.5
Evidence Of Traction-25.0
Market Timing Relevance+2.5
Functional Completeness-5.0
Subtotal-12.5
Usefulness Multiplierx0.95
Final Score-12

Project Details

Project URL
Description
Jordan – Senior AI Technician & Software Engineer in Greater Manchester, UK. I specialise in AI, automation, and software development, creating clean, minimal solutions that drive efficiency and innovation. Currently leading AI projects at Fourteen IP.

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