AuthenticID
Analysis completed on 3/23/2026
AuthenticID demonstrates strong real-world utility and massive enterprise reach (10 of Fortune 100, major banks and telecoms) as an established identity verification platform. However, the submission suffers from unprofessional and vague answers in key fields ('everyone', 'most people have used my product', confusing revenue metrics), resulting in lowered Quality Factors for Traction and Response Quality. The 350-person team size and substantial B2B adoption strongly anchor its score in the 'Larger Scale' calibration tier.
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