The submission suffers from significant discrepancies and quality issues. While 'Lorica' appears to be a legitimate name in the privacy sector (referring to either Lorica Identity or Lorica Cybersecurity), the submission conflates the two: using the URL/email of the former (Identity/Credentials) with the description of the latter (Privacy Enhancing AI/FHE). Furthermore, the traction claim that 'most people have used my product' is demonstrably false for a niche B2B privacy tool, severely damaging credibility. The input lacks verifiable data on revenue or users, resulting in a minimal score despite the potential utility of the underlying technology.
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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