Round 1 Winners!
Proof of Usefulness Report

Idea Enterprises LLC

Analysis completed on 3/19/2026

-18.43
Proof of Usefulness Score
Lab Mode

The submission contains severe red flags, including demonstrably false traction claims ('most people have used my product') and impossibly vague target demographics ('everyone') for an enterprise ML security product. Critical fields are empty or improperly filled (e.g., placing 'all time marketcap' in the monthly revenue field). While the theoretical real-world utility of AI threat detection in schools and healthcare is high, the complete lack of verifiable evidence, exaggerated statements, and exceptionally poor response quality mandate a sub-zero score.

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Score Breakdown

Real World Utility+5.0
Audience Reach Impact-10.0
Technical Innovation+0.75
Evidence Of Traction-12.5
Market Timing Relevance+2.5
Functional Completeness-2.5
Subtotal-16.75
Usefulness Multiplierx1.1
Final Score-18

Project Details

Project URL
Description
Providing cutting edge security tools to schools, healthcare, and commercial properties. Using proprietary machine learning technology to identify concerning behaviors before they become a physical threat. We work with security, care teams, and the community to develop the right balance between human intervention and technology. We consider technology to be a force multiplier, to identify patterns, and augment, but not replace human intervention.

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