The project 'Uber Freight' is a verifiable, large-scale logistics platform with billions in revenue, clearly exceeding the high-impact calibration threshold (400-700+). However, the submission itself is of very low quality, containing factually incorrect hyperbolic claims (e.g., 'most people have used my product', 'whosItFor: everyone') and informal data entry. While the entity's real-world utility and scale are exceptional, the score is significantly penalized by low Quality Factors (Qi) due to the lack of serious evidence and accuracy in the submission text.
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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