Round 1 Winners!
Proof of Usefulness Report

Signafide

Analysis completed on 3/24/2026

-63
Proof of Usefulness Score
Lab Mode

The submission describes a practical utility (petition validation using ML), but is severely undermined by red flags, vague details, and blatantly false claims. Asserting the audience reach is 'everyone' and claiming 'most people have used my product' for a highly niche political tool destroys credibility. Due to the lack of verifiable traction and extremely low-quality responses, the project receives a negative score.

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Score Breakdown

Real World Utility+25
Audience Reach Impact-25
Technical Innovation+25
Evidence Of Traction-75
Market Timing Relevance+20
Functional Completeness-25
Subtotal-55
Usefulness Multiplierx1.15
Final Score-63

Project Details

Project URL
Description
We validate and analyze petitions. We use machine learning technology, and hundreds of trained workers, to identify every defect on every line of every petition sheet — every time. Not only faster... Relative to other methods of petition validation, our system is significantly Faster More accurate More comprehensive More cost effective Better at fraud detection but better. Our methods for fraud detection, in particular, are unmatched. If you need to qualify for the ballot, or to disqualify your opponent, call us.

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