TDengine is a well-established, open-source time-series database optimized for IoT, with verifiable high traction (20k+ GitHub stars) and significant venture backing (Taos Data). However, the submission itself is of extremely poor quality, providing hyperbolic and false claims ('everyone', 'most people have used my product') and missing key financial data. The final score reflects the high real-world utility and technical maturity of the project, significantly penalized by the Quality Factor due to the lazy and inaccurate submission.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
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Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
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Technical Roadmap
Share development milestones and feature completion timeline