Round 1 Winners!
Proof of Usefulness Report

YesGraph

Analysis completed on 3/16/2026

+15.3
Proof of Usefulness Score
You're In Business

The submission for YesGraph describes a valid real-world utility (referral machine learning) but lacks substantive current details. Responses like 'Internet' for technologies, 'everyone' for audience, and 'most people have used my product' are extremely vague and unsupported, warranting a 0.5 quality penalty across most metrics. Combined with an outdated launch year (2012) and lack of verifiable active users, the project registers minimal current traction.

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Score Breakdown

Real World Utility+15.0
Audience Reach Impact+1.0
Technical Innovation+0.75
Evidence Of Traction+0.625
Market Timing Relevance+0.5
Functional Completeness+0.125
Subtotal+18
Usefulness Multiplierx0.85
Final Score+15

Project Details

Project URL
Description
YesGraph helps your app grow by recommending exactly who a user should invite. We can help boost the performance of referral and invite flows in your app or web site. We use machine learning and social graph analysis -- a lot like "People You May Know" on LinkedIn!

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