Infomnis appears to be a legitimate but small boutique consultancy based in Germany, focusing on data strategy and IT services. However, the submission is of extremely poor quality, featuring hyperbolic and factually incorrect claims (e.g., 'most people have used my product', audience reach 'everyone', revenue listed as 'marketcap'). While the underlying service has some utility for B2B clients, the lack of scalability, absence of verifiable product traction, and unprofessional submission heavily penalize the score. The project fits the 'Minimal traction' calibration bucket (<50K users).
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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
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Technical Roadmap
Share development milestones and feature completion timeline