Round 1 Winners!
Proof of Usefulness Report

ImplicitIQ

Analysis completed on 3/23/2026

+59.63
Proof of Usefulness Score
You're In Business

ImplicitIQ proposes a predictive medical model with high potential real-world utility. However, the submission is severely penalized for highly exaggerated and unsupported claims, such as stating 'everyone' is the target audience and 'most people have used my product,' which completely contradicts a team size of 6 and no verifiable traction. The 'all time marketcap: 500000' is vague and does not serve as valid monthly revenue. Due to extreme lack of credible evidence and poor response quality, the project receives the lowest quality multiplier (0.5) across all metrics, placing it in the minimal traction category.

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Score Breakdown

Real World Utility+37.5
Audience Reach Impact+2.0
Technical Innovation+15.0
Evidence Of Traction+1.25
Market Timing Relevance+10.0
Functional Completeness+0.5
Subtotal+66.25
Usefulness Multiplierx0.9
Final Score+60

Project Details

Project URL
Description
We take the patient's aggregated medical information, as well as their demographic data, and feed it into our model that uses a combination of machine learning techniques, traditional statistics, and proprietary algorithms to find suspect conditions. The patient is compared to others with a similar demographic and medical background, and predictions are made. Our model uses millions of patient records.

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