Round 1 Winners!
Proof of Usefulness Report

Chesi Uas Solutions LLC

Analysis completed on 3/18/2026

-38.25
Proof of Usefulness Score
Lab Mode

The submission contains severe red flags that undermine its credibility. The claim that 'most people have used my product' for a spacecraft attitude and orbit control system is demonstrably false. Furthermore, the target audience is vaguely defined as 'everyone,' and the monthly revenue metric cites an 'all time marketcap,' suggesting a potential cryptocurrency project masquerading as deep-tech space infrastructure. Due to these fabrications and lack of verifiable data, significant penalties were applied.

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Score Breakdown

Real World Utility+12.5
Audience Reach Impact-10.0
Technical Innovation+7.5
Evidence Of Traction-50.0
Market Timing Relevance+0.0
Functional Completeness-5.0
Subtotal-45
Usefulness Multiplierx0.85
Final Score-38

Project Details

Project URL
Description
At CUS GNC, we are revolutionizing spacecraft attitude and orbit control through cutting-edge machine learning. Our innovative GNC algorithms leverage the latest advancements in machine learning to enhance onboard autonomy, stability, and capability, all while ensuring safety. Designed to operate efficiently even on low computational power processors, our solutions bring unprecedented performance to spacecraft systems. Additionally, we share our expertise and assist customers in developing novel space applications with expert GNC advice.

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