The project addresses a valid B2B need (fractional sales staffing), but the submission is severely undermined by hyperbolic and objectively false claims (e.g., 'most people have used my product', 'audience: everyone'). While the core service model has utility, the reported metrics are contradictory (30 team members vs. 2 customers) and the financial data is mislabeled ('marketcap' in the revenue field). The low score reflects a lack of verifiable traction, poor submission quality, and significant credibility red flags.
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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