The project 'FrostStorm' represents Ross Stores, a Fortune 500 retail giant with undeniable market traction ($51B+ market cap) and massive audience reach. While the submission quality is extremely poor (lazy descriptions, inaccurate tech tags like 'banking', and a pseudonym 'FrostStorm'), the entity itself scores highly on utility, reach, and traction. The score is heavily penalized by the lack of technical innovation (legacy retail) and the low quality of the submission effort, but buoyed by the sheer scale of the business.
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