Buluttan is a legitimate weather intelligence startup utilizing NWP and Deep Neural Networks, a high-utility approach in the current climate tech market. However, the submission quality is exceptionally poor, featuring hyperbolic claims ('most people have used my product') and missing financial data. While external verification confirms the company's existence and regional B2B traction (likely in Turkey/Energy sector), the score is significantly penalized by the lack of direct evidence provided and the low effort of the response. The project falls into the 'Small but promising' category due to strong technical fundamentals despite the weak presentation.
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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