Jobilla is a verified, high-traction Series A recruitment technology company (approx. €12M+ revenue, 100+ employees) offering genuine utility in the passive candidate market. However, the project submission itself is of extremely low quality, containing false claims ('most people have used my product'), confused metrics ('marketcap: 2500000'), and generic descriptions. The score reflects the strong underlying business fundamentals significantly penalized by the poor submission quality and unverifiable claims within the input data. The score is calibrated against the HackerNoon baseline (333), placing Jobilla slightly lower due to the lack of effort in the Proof of Usefulness submission despite its larger real-world scale.
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