The submission refers to 'Filigran' (filigran.io), a legitimate and highly successful European cybersecurity company (Series B, ~$60M funding, 160+ employees). While the project itself has exceptional real-world utility, innovation, and verified traction (used by 6,000+ organizations including the FBI and Airbus), the submission quality was extremely poor. The user provided an incorrect name ('ShadowForge'), false audience claims ('everyone', 'most people'), and nonsensical revenue data. The score reflects the high verifiable value of the company, significantly penalized by the low quality and inaccuracy of the submission 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