WorldQL is a legitimate, high-potential technology project (YC W22, $500k raised) focused on spatial databases for multiplayer gaming and AI environments. However, the submission provided is of extremely low quality, containing hyperbolic falsehoods (claiming 'most people' have used it) and missing critical data. While the underlying technology (Mammoth plugin, spatial partitioning) shows significant technical merit and open-source traction (~1k GitHub stars), the project is currently in a niche/seed stage, far from the mass adoption claimed. The score reflects the strong technical foundation and market timing, heavily penalized by the lack of honest, verifiable traction evidence in the submission.
Ready to Compete for $150k+ in Prizes?
Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes
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