2020 On-site is a well-established mobile vision care company with significant revenue (~$15M estimated) and verifiable operations across multiple major US cities. While the project itself demonstrates high real-world utility and strong financial traction (far exceeding the calibration benchmark), the submission quality was exceptionally poor. The submitter provided lazy, hyperbolic claims (e.g., 'most people have used my product', 'everyone') which heavily penalized the Quality Factors for Reach and Traction. Despite the low-effort submission, the undeniable scale and success of the business justify a high score relative to the benchmark.
Ready to Compete for $100k in Prizes?
Move this data into a HackerNoon blog draft to become eligible for your share of $100k 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