Jobber is a highly successful, verified Series D company with over $100M ARR and 200k+ users, positioning it well above the 'Scale' calibration. However, the submission itself contained lazy, hyperbolic, and inaccurate data (e.g., team size '7500', audience 'everyone'), which significantly impacted the quality multipliers. While the real-world utility and traction are undeniable, the score is penalized for the poor quality of the application data.
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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