The submission represents Baker Donelson, a top-tier U.S. law firm established in 1888. While the entity itself has massive real-world utility, audience reach, and verifiable traction (Am Law 100 status), the submission data is of low quality, containing hyperbolic claims ('most people have used my product') and nonsensical revenue formatting. The project lacks technical innovation as it is a traditional service provider. The high score reflects the firm's established market dominance, heavily discounted by the lack of technical novelty and poor submission quality.
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