Round 1 Winners!
Proof of Usefulness Report

InsurShawn

Analysis completed on 3/19/2026

-230
Proof of Usefulness Score
Lab Mode

The submission contains severe red flags, including unsubstantiated and highly exaggerated claims ('most people have used my product'), nonsensical financial metrics ('all time marketcap' listed under monthly revenue), and a buzzword-heavy description that indicates a portfolio site rather than an actual product. With no verifiable utility, genuine traction, or coherent technical details, the project falls well below the baseline for a viable technology solution, resulting in a heavily penalized negative score.

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Score Breakdown

Real World Utility-25
Audience Reach Impact-40
Technical Innovation-15
Evidence Of Traction-100
Market Timing Relevance-5
Functional Completeness-15
Subtotal-200
Usefulness Multiplierx1.15
Final Score-230

Project Details

Project URL
Description
Emerging Technology for Insurance. Experience with Cloud, AI, Blockchain, Machine Learning, RPA, AWS, Google, IBM, and Microsoft Azure.Professional, Online, Portfolio

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