The submission references 'Ringorang' (Knowledge as a Service, Inc.), a legitimate and established B2B employee engagement platform. However, the submission quality is critically low, featuring hyperbolic and demonstrably false claims (e.g., 'most people have used my product', 'audience reach: everyone'). While the underlying product has verified real-world utility and market presence, the score is heavily penalized by the lack of verifiable traction data in the input and the poor quality of the response. The project solves a genuine problem, but the submission fails to accurately reflect its actual scale.
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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