Round 1 Winners!
Proof of Usefulness Report

Rayyan Systems Inc.

Analysis completed on 3/12/2026

+339
Proof of Usefulness Score
Certified Problem Solver

Rayyan provides genuine utility as an AI-assisted literature review tool for researchers. However, the submission features severely exaggerated and unverified claims, including an audience reach of 'everyone', traction evidence stating 'most people have used my product', and a nonsensical financial metric. As a result, the quality multipliers for reach, traction, and response quality have been heavily penalized.

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Score Breakdown

Real World Utility+200.0
Audience Reach Impact+10.0
Technical Innovation+90.0
Evidence Of Traction+12.5
Market Timing Relevance+70.0
Functional Completeness+2.5
Subtotal+385
Usefulness Multiplierx0.88
Final Score+339

Project Details

Project URL
Description
Rayyan is an AI assisted collaboration tool to conduct systematic literature reviews in far less time. As a SaaS, web and mobile based collaboration tool, Rayyan is compatible with remote work, distributed teams and even works offline. The highly popular AI and machine learning enhanced systematic literature review workflow saves researchers on average half the time over traditional DIY review methods. Researchers all over the world collaborate through Rayyan to complete their systematic reviews with precision, efficiency, and speed.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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