Unsupervised is a legitimate, Series B funded automated analytics company with over $57M in funding and estimated revenue of ~$6M, significantly outperforming the 'Calibration' baseline in financial metrics. However, the specific submission provided was extremely low quality, containing false claims ('most people have used my product') and nonsensical data ('marketcap: null'). The evaluation scores reflect the verified strength of the actual company (Unsupervised.com) while heavily penalizing the 'Response Quality' metric due to the poor submission effort. The company occupies a strong position in the AI analytics market, though its audience reach is specialized B2B enterprise rather than the 'everyone' claimed.
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