The submission represents a publicly traded entity (TSX-V: NXO) with valid AI imaging technology ('ALIIS'), but the project submission itself contains severe inaccuracies and low-quality data. Claims that 'most people have used my product' are contradicted by public financial filings showing ~$0 TTM revenue and net losses. The listing of 'construction' under technologies further indicates a lack of effort or accuracy. While the underlying technology has theoretical utility, the project demonstrates negligible market traction after 17 years and the submission fails to provide verifiable evidence.
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