The project references 'SCIAM', a verified French consulting firm established in 2017 with legitimate B2B operations in data, IT, and behavioral sciences. However, the submission quality is critically low, featuring exaggerated traction claims ('most people have used my product') and irrelevant fields ('LunarFang' name, 'marketcap: null'). The potential association with a 'LunarFang' crypto token suggests either a low-effort submission by an employee or an impersonation attempt. The score reflects the legitimate business value of SCIAM, heavily penalized for the incoherent and unsupported submission data.
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Score Breakdown
Project Details
Algorithm Insights
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Document User Growth
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Showcase Revenue Model
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Expand Evidence Base
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Technical Roadmap
Share development milestones and feature completion timeline