The submission describes EmmeCiLab, an IoT and database consultancy, though the project name 'AncientStorm' appears unrelated or internal. While the consultancy offers valid technical services (IoT, legacy migration) and the lead developer has verifiable open-source contributions (~800 GitHub stars), the submission is heavily penalized for inaccurate and hyperbolic claims (e.g., 'most people have used my product', 'everyone' as audience). The revenue metric ('marketcap: 50000') is misused, likely indicating ~$50k lifetime revenue. The score reflects a legitimate but small-scale niche consultancy with a poor quality submission.
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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