Appsmith is a highly successful, verified open-source low-code platform with significant market presence (Series B funding, ~$50M+ raised, 39k+ GitHub stars, 10k+ organizations). The project demonstrates exceptional Real-World Utility and Technical Innovation, particularly with the new AI Agents features. However, the submission quality was extremely poor, featuring hyperbolic claims ('most people have used my product') and misused data fields ('marketcap' for revenue/funding). Despite the low-quality submission, the project's objective verifiable traction warrants a high score, adjusted downward for the lack of provided evidence and lazy response quality.
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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