The project represents S&P Global Market Intelligence, a Tier-1 financial data provider with immense, verifiable real-world utility and traction. However, the submission quality is extremely poor, featuring vague claims ('everyone', 'most people'), incorrect data formatting (market cap listed as ~1B vs actual ~160B), and zero technical detail. The score reflects the massive verifiable scale of the entity (high base scores), significantly penalized by the low quality factors (Qi) resulting from the lazy application.
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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