Round 1 Winners!
Proof of Usefulness Report

Cellgen Diagnostics

Analysis completed on 3/16/2026

-46
Proof of Usefulness Score
Lab Mode

While the project targets a critical market with an innovative bio-fluid cancer diagnostic concept, the submission contains severe red flags. Claims that 'most people have used my product' and that the audience reach is 'everyone' are demonstrably false for a specialized, 6-employee medical device company. These completely unverified and spam-like inputs trigger heavy penalties, resulting in a sub-zero score in accordance with calibration guidelines for submissions with red flags.

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Score Breakdown

Real World Utility+50
Audience Reach Impact-40
Technical Innovation+30
Evidence Of Traction-100
Market Timing Relevance+40
Functional Completeness-20
Subtotal-40
Usefulness Multiplierx1.15
Final Score-46

Project Details

Project URL
Description
Cellgen is developing a bio-fluid based molecular diagnostic that will serve as a therapeutic guidance platform for cancer patients. The platform incorporates machine learning to deliver intelligent, quantitative and actionable results to oncologists in under 5 hours. Designed to detect all DNA and RNAs, Cellgen’s platform features a proprietary on-chip enrichment and detection workflow perfectly suited to be installed as the premier Companion Diagnostic testing system within leading oncology clinics. Running on Cellgen's proprietary platform, each disposable assay will yield inclusion / exclusion data, while also leveraging proprietary machine learning algorithms to intelligently monitor and predict therapeutic response. This information will help inform patients, physicians, and others on how best to simplify and optimize life-saving clinical protocols.

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