Round 1 Winners!
Proof of Usefulness Report

OpenProtein.AI

Analysis completed on 3/18/2026

+94.5
Proof of Usefulness Score
You're In Business

While the core concept of utilizing machine learning for protein engineering addresses a highly practical and actionable real-world problem, this specific submission appears to be low-effort or speculative. Claims such as an audience reach of 'everyone' and 'most people have used my product' are entirely unsubstantiated for a specialized biotech platform. The lack of verifiable user metrics, coupled with vague technical details, warrants a baseline quality multiplier of 0.5 across all criteria. Consequently, the project scores in the minimal traction tier.

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Score Breakdown

Real World Utility+50.0
Audience Reach Impact+5.0
Technical Innovation+22.5
Evidence Of Traction+6.25
Market Timing Relevance+20.0
Functional Completeness+1.25
Subtotal+105
Usefulness Multiplierx0.9
Final Score+95

Project Details

Project URL
Description
OpenProtein.AI provides machine learning software and services to allow our customers to push beyond the boundaries of conventional protein engineering to build better products faster, cheaper, and more reliably. Our democratized web platform puts the power of cutting-edge ML tools directly in the hands of biologists.

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