Proof of Usefulness Report

Biagon Inc.

Analysis completed on 3/18/2026

-45

Proof of Usefulness Score

Lab Mode

The submission presents a biotech machine learning concept but contains extreme red flags, including absurd and unverifiable claims ('everyone' is the audience, 'most people have used my product'). Due to a complete lack of credible traction and highly unprofessional response quality, the project requires a heavy penalty, placing it in the negative scoring tier.

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Score Breakdown

Real World Utility+50.0

Audience Reach Impact+0.0

Technical Innovation+30.0

Evidence Of Traction-125.0

Market Timing Relevance+20.0

Functional Completeness-25.0

Subtotal-50.0

Usefulness Multiplierx0.90

Final Score-45

Project Details

Project URL

biagoninc.com

Description

Biagon's first-in-class machine learning algorithm to screen for and design biased agonists provides unprecedented opportunity for GPCR targets. Whether through internal or partnered programs, we are passionate about exploiting cell signaling to open therapeutic windows for indications ranging from heart failure to neurodegenerative disease.

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