The submission represents 'Trébol IT', an established Chilean IT consultancy founded in 1992 with ~350 employees and significant verifiable B2B traction (estimated $10M+ revenue). However, the submission itself is of extremely poor quality, containing hallucinated claims ('most people have used my product'), incorrect naming ('SilentStone'), and generic data. The high score reflects the verified verifiable reality of the business entity (Trébol IT) falling into the 'Much larger scale' calibration bracket (400-700), significantly heavily penalized by the Response Quality and Traction Evidence metrics due to the lack of effort in the application.
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