Round 1 Winners!
Proof of Usefulness Report

MeshedUp

Analysis completed on 3/23/2026

-2.8
Proof of Usefulness Score
Lab Mode

The submission displays significant red flags and unsupported claims. Statements such as 'most people have used my product' for a project lacking verifiable traction, combined with confusing monthly revenue with 'all time marketcap: 500000', indicate severe credibility issues. Technical details are extremely vague. Per the calibration guidelines, submissions with no verifiable traction and major red flags receive a score below 0.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+2.50
Audience Reach Impact-2.00
Technical Innovation+0.75
Evidence Of Traction-3.75
Market Timing Relevance+0.50
Functional Completeness-0.50
Subtotal-2.5
Usefulness Multiplierx1.12
Final Score-3

Project Details

Project URL
Description
The innovative machine learning solution that instantly organises documents, achieving superior accuracy to human sorting. Rapid data extraction and classification enables automated core processes, leading to enhanced efficiency, cost savings and improved labour management.

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