Proof of Usefulness Report

QMIT

Analysis completed on 3/19/2026

-8

Proof of Usefulness Score

Lab Mode

The submission exhibits significant red flags due to highly implausible and unverifiable claims, such as 'most people have used my product' and targeting 'everyone' as the audience. The financial metric provided ('all time marketcap: 2500000') is confusingly placed in the monthly revenue field and lacks substantiation. Despite the theoretical utility of ML-enhanced Smart Betas in financial services, the complete absence of empirical traction and extremely poor submission quality warrant a sub-zero final score.

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Score Breakdown

Real World Utility+1.25

Audience Reach Impact-2.00

Technical Innovation+1.50

Evidence Of Traction-7.50

Market Timing Relevance+0.50

Functional Completeness-1.00

Subtotal-7.25

Usefulness Multiplierx1.1

Final Score-8

Project Details

Project URL

quantzqmit.com

Description

-Evolve traditional stock-picking via ML enhanced equity Smart Betas. -Thematic signals and Risk Premia baskets based on our Smart Betas e.g. LBO Model -Macro Regime detection via machine learning

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