Round 1 Winners!
Proof of Usefulness Report

M Healthcare Solutions

Analysis completed on 3/21/2026

+87.75
Proof of Usefulness Score
You're In Business

The project addresses a critical medical need (early autism detection) using potentially innovative technology (EEG and machine learning). However, the submission contains severe red flags, including unsupported efficacy claims (>95%), impossible audience statements ('most people have used my product'), and confusing financial metrics ('all time marketcap: 500000'). Without peer-reviewed clinical data, transparent evidence of FDA clearance, or credible traction metrics, the project falls into the minimal traction tier.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+37.5
Audience Reach Impact+2.0
Technical Innovation+15.0
Evidence Of Traction+2.5
Market Timing Relevance+40.0
Functional Completeness+0.5
Subtotal+97.5
Usefulness Multiplierx0.9
Final Score+88

Project Details

Project URL
Description
mHealthcare is a contract research organization (CRO) and medical device manufacturer developing neurodiagnostic technologies to impact mental health. We leverage computational tools, biosignal processing, and machine learning algorithms to analyze EEG brain wave activity data, then provide standardized, objective risk-assessments for newborns developing neurodevelopmental disorders. Our initial focus is identifying biomarkers for the early detection of autism spectrum disorder, and we are confident that our technology can diagnose if an infant zero to 2-years-old will develop autism with above 95% efficacy.

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