Eyeviation
Analysis completed on 3/12/2026
The submission pairs a credible technical description for a B2B product (Eyeviation, utilizing eye tracking and ML for cognitive performance assessment) with highly contradictory, exaggerated, and spam-like inputs ('everyone' uses it, 'most people have used my product', contradictory team size of 125 vs a $500k all-time market cap). Due to these massive red flags and completely unverifiable traction claims, the project receives severe penalties resulting in a low score suitable for projects with minimal or unverifiable traction.
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Score Breakdown
Project Details
Algorithm Insights
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