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Proof of Usefulness Report

Metfora

Analysis completed on 3/16/2026

+37.01
Proof of Usefulness Score
You're In Business

Metfora proposes an innovative ML-based biotechnology solution for early chronic disease detection via blood metabolites. While the problem-solution fit and market relevance are strong, the submission contains significant red flags. The claimed traction ('most people have used my product') and audience metrics ('everyone') are highly exaggerated and unsupported. Furthermore, citing an 'all time marketcap' of 2,500,000 in place of monthly revenue alongside an anonymous-looking submitter (SilentRider) undermines credibility. Due to these unsubstantiated claims and poor response quality, the project receives low traction, audience, and response scores, placing it appropriately in the minimal traction category.

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Score Breakdown

Real World Utility+21.25
Audience Reach Impact+0.50
Technical Innovation+10.50
Evidence Of Traction+0.63
Market Timing Relevance+8.00
Functional Completeness+0.25
Subtotal+41.13
Usefulness Multiplierx0.9
Final Score+37

Project Details

Project URL
Description
THE PROBLEM 45% of Americans suffer from at least one chronic disease. The biological processes of chronic diseases, however, progresses over decades. In fact, patients presenting common symptoms of fatigue or dizziness may be early evidence of a serious underlying condition. However, it takes an average of 2-4 years to properly diagnose these severe diseases, preventing the early disease treatment. THE SOLUTION We have developed a test that uses metabolites in the blood, combined with machine learning (ML) to quickly identify what diseases are present for earlier diagnosis and treatment. ML identifies the diseases that are present by recognizing patterns in the patient’s circulating metabolites providing a quick result to the doctor and patient. We have patented these patterns as “disease fingerprints” and are the first in the field to use such a novel approach.

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