Round 1 Winners!
Proof of Usefulness Report

Zeustride

Analysis completed on 3/18/2026

+64.68
Proof of Usefulness Score
You're In Business

The submission features significant red flags, including highly exaggerated claims of traction ('most people have used my product'), an unrealistic target audience ('everyone') for a specialized B2B anti-piracy tool, and vague technical details ('Software Development' instead of specific AI/ML architecture). The reported 'marketcap' of 2,500,000 without concrete revenue metrics adds to the suspicion. Consequently, the project receives the lowest quality multiplier (0.5) across all criteria, resulting in a score reflective of minimal verifiable traction and poor response quality.

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Score Breakdown

Real World Utility+50
Audience Reach Impact+4
Technical Innovation+6
Evidence Of Traction+2.5
Market Timing Relevance+10
Functional Completeness+1
Subtotal+73.5
Usefulness Multiplierx0.88
Final Score+65

Project Details

Project URL
Description
Zeustride is an artificial intelligence-machine learning based solution focused on targeting and uprooting online piracy. A specialized team of global copyright experts along with automated multi-step mitigation techniques allow the company to rapidly eliminate large volumes of infringing content instantly. Real Time Reporting Tool keeps the consumer informed on the status of each violation, complete with all relevant data on the incident.

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