The submission for DataDriven lacks credibility due to hyperbolic and unverifiable claims (e.g., 'most people have used my product', 'audience reach: everyone'). While the business entity (consulting in Kyiv) may exist, the provided data includes red flags like non-professional aliases and malformed revenue metrics ('all time marketcap: null'). The score reflects a high penalty for poor response quality and lack of verifiable 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