Jobscan is a well-established, revenue-positive business (est. $7M+ ARR, ~60 employees) solving a critical pain point for job seekers. While the project reality is strong, the submission quality was exceptionally poor, featuring incorrect tags ('construction'), a mismatched name ('IronStone'), and hyperbolic claims ('most people have used my product'). The score reflects the high verified utility and market traction, heavily penalized for the low-effort submission.
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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