Erie Insurance Group is a Fortune 500 entity with massive, verifiable real-world utility and traction ($8B+ revenue), which drives a high baseline score. However, the project submission itself was low-quality, relying on hyperbolic claims ('most people have used my product') and missing financial data ('marketcap: null'). Consequently, Quality Factors (Qi) were reduced to reflect the poor evidence provided, preventing an even higher score typical of a company this size.
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