The project represents a legitimate niche legal mediation consultancy (We Agree Mediators) attempting to leverage AI. However, the submission quality is critically low, containing hyperbolic and demonstrably false claims (e.g., audience reach: 'everyone', traction: 'most people have used my product'). While external search confirms the existence of the firm and some client testimonials, the lack of verifiable technical details and the unprofessional data entry significantly undermine the Proof of Usefulness score. The 'marketcap' figure likely refers to valuation or is a misuse of terms, further indicating a lack of business precision 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