Proof of Usefulness Report

QML Solutions

Analysis completed on 3/20/2026

+20.08

Proof of Usefulness Score

You're In Business

The submission contains highly exaggerated claims ('most people have used my product', audience reach 'everyone') paired with very vague business metrics ('all time marketcap 2500000' listed as monthly revenue). While the core premise of applying machine learning to credit risk analysis has market relevance and utility, the lack of verifiable traction, unsubstantiated claims, and poor response quality result in severe penalties, placing the project in the minimal traction category.

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Score Breakdown

Real World Utility+7.5

Audience Reach Impact+1.0

Technical Innovation+2.25

Evidence Of Traction+1.25

Market Timing Relevance+6.0

Functional Completeness+0.25

Subtotal+18.25

Usefulness Multiplierx1.1

Final Score+20

Project Details

Project URL

qmlsolutions.com

Description

At QML Solutions, we deliver actionable investment research that blends deep market experience with modern quantitative methods. With 50+ years of combined experience across equity and credit strategy, trading, and quant research, our team brings a thoughtful, data-driven lens to capital markets. We believe in rigorous, independent thinking and in challenging conventional views with empirical evidence. We publish our research directly on Substack and we’re building a web platform to offer dynamic Machine Learning tools for credit risk analysis, helping investors monitor company-specific risks and explore broader market trends. We’re also available for bespoke consulting and custom research collaborations.

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