The submission represents the Moscow Architectural Institute (MARCHI), a legitimate and historic educational institution. However, the submission data is extremely low-quality, containing hyperbolic falsehoods (e.g., claiming 'most people have used my product') and lacking any verifiable metrics. While the underlying entity has real-world utility in education, the submission fails to demonstrate the specific traction or innovation required for a higher PoU score.
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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