The project addresses a valid problem in the HRTech space (student freelancing), particularly in the African market. However, the submission quality is critically low, containing hyperbolic and unverifiable claims (e.g., 'most people have used my product', 'audience: everyone'). Lacking concrete data on revenue, active users, or technical implementation, the evaluation relies heavily on penalty multipliers for vague and unsupported assertions.
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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