The project references OnSiteIQ, a legitimate Series B construction intelligence platform with significant real-world utility. However, the submission quality is extremely poor, featuring verifiable falsehoods regarding audience reach ('everyone') and traction ('most people have used my product'). While the underlying technology and business model are strong (likely exceeding the HackerNoon baseline in enterprise value), the score is heavily penalized due to the inaccurate and lazy submission data. The final score reflects a high-potential company diluted by unreliable input claims.
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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