Round 1 Winners!
Proof of Usefulness Report

Loc Nguyen

Analysis completed on 3/20/2026

-16.68
Proof of Usefulness Score
Lab Mode

The submission lacks cohesion and appears to be a fragmented personal portfolio rather than a viable technical product. Claims such as 'everyone' for the audience, 'most people have used my product', and a 'marketcap: 50000' for monthly revenue are completely unsupported and represent significant red flags. With no verifiable traction, no clear problem-solution fit, and confusing metrics, the project falls below a 0 score.

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Score Breakdown

Real World Utility-2.50
Audience Reach Impact-2.00
Technical Innovation+0.00
Evidence Of Traction-7.50
Market Timing Relevance-0.50
Functional Completeness-2.00
Subtotal-14.50
Usefulness Multiplierx1.15
Final Score-17

Project Details

Project URL
Description
Invited lecturer at International Workshop of Advancement and Applications of Mathematics and Statistics in Artificial Intelligence and Machine Learning, organized at School of Advanced Sciences and Languages - VIT Bhopal University, sponsored by IEEE, held on 19th - 20th March 2021, Madhya

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