Koya AI
Analysis completed on 3/21/2026
Koya AI addresses a genuine B2B e-commerce data challenge with backing from reputable investors like Caffeinated Capital and FJ Labs. However, the submission itself features low-effort and exaggerated claims (e.g., audience reach of 'everyone', technology as 'Internet', and traction asserting 'most people have used my product'). Without verifiable active user metrics or realistic revenue data, the quality factors for reach, innovation, traction, and response quality have been heavily penalized.
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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