Round 1 Winners!
Proof of Usefulness Report

MILO-ML

Analysis completed on 3/18/2026

-25.88
Proof of Usefulness Score
Lab Mode

While the project claims a legitimate academic origin at UC Davis, the submission contains severe red flags. Claims such as reaching 'everyone', having 'most people' use the product, and citing an 'all time marketcap' of 2,500,000 as monthly revenue are highly suspicious, unverified, and indicate a fundamental lack of credibility. These blatantly exaggerated and fabricated metrics trigger a heavily penalized, negative evaluation score.

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Score Breakdown

Real World Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal-22.5
Usefulness Multiplierx1.15
Final Score-26

Project Details

Project URL
Description
MILO-ML started as an Intellectual Property of the University of California and is the brainchild of three very dedicated physician scientists within the department of pathology and laboratory medicine at UC Davis whose extensive background in bioinformatics / machine learning, software engineering and clinical statistics / study design has made this all possible. MILO-ML as we know it today is a result of years of hard work and dedication following a large number of validation studies with numerous collaborators from various disciplines and multiple publications

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