The project appears to be a legitimate local IT/POS provider (Iot Soft) with a history of serving 200+ clients in Greece, but the submission quality is extremely low. Key fields contain hyperbolic claims (e.g., reach: 'everyone', traction: 'most people have used my product') that contradict the niche B2B nature of the business. The 'marketcap' figure is ambiguous and likely inaccurate. While the underlying business may have real-world utility for its restaurant clients, the lack of verifiable digital footprint, combined with a vague and exaggerated submission, results in a low Proof of Usefulness score within the 'Minimal traction' range.
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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