Sifflet is a legitimate, Series B funded Data Observability platform (founded 2021, raised ~$58M) with significant enterprise traction (e.g., Carrefour, Penguin Random House). However, the submission quality is critically low, containing demonstrably false claims (e.g., 'most people have used my product', 'team size 1-10', target audience 'everyone') and lacking specific data. While the project's real-world utility and verified market position are high, the score is heavily penalized by the poor quality of the input data.
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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