Round 1 Winners!
Proof of Usefulness Report

Gordion Bioscience

Analysis completed on 3/18/2026

-18.38
Proof of Usefulness Score
Lab Mode

Gordion Bioscience appears to be a legitimate seed-stage biotech startup using machine learning for cancer target identification, but this submission is riddled with severe red flags and obvious falsehoods. Claims such as 'most people have used my product' for a 2023 B2B biotech company, a target audience of 'everyone', and an illogical 'all time marketcap' of 2,500,000 for a private startup strongly indicate a fake or troll submission. Due to the blatantly false evidence of traction and extremely poor response quality, the project receives a negative score despite the underlying technology's theoretical utility.

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Score Breakdown

Real World Utility+6.25
Audience Reach Impact+0.00
Technical Innovation+3.75
Evidence Of Traction-25.00
Market Timing Relevance+2.50
Functional Completeness-5.00
Subtotal-17.5
Usefulness Multiplierx1.05
Final Score-18

Project Details

Project URL
Description
Motivated to make better drugs - Powered with tumor data - Delivered by machine learning

Algorithm Insights

Market Position
Early stage requiring focused development
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