The project represents Discovery Inc., a verifiable global media giant with massive audience reach and utility. However, the submission quality is exceptionally poor, featuring vague claims ('everyone'), invalid data fields ('marketcap: null'), and generic tags. While the entity's scale and traction sustain a high baseline score (placing it in the 'Much larger scale' tier), the lack of technical detail and effort in the application incurs significant penalties, keeping the score at the lower end of the enterprise range.
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