OneSparQ is a verified, established national staffing firm with significant revenue (~$17M-$50M) and a large team (~350), placing it well above the 'start-up' calibration baseline despite the low-quality submission. The submission contained inaccuracies (claiming 'marketcap' instead of revenue, 'everyone' as audience) and lacked professional detail ('ShadowRider' alias), which heavily penalized the Response Quality and Audience Reach scores. However, the strong verified Real-World Utility and Evidence of Traction (revenue and employee count) drive the score into the 400-600 range, reflecting a mature, useful business with poor submission execution.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
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Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
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Technical Roadmap
Share development milestones and feature completion timeline