Data Language is a legitimate, high-value technical consultancy with an impressive client roster (BBC, Sky, NewsCorp) and expertise in Knowledge Graphs and AI. However, the submission itself is riddled with inaccuracies: the team size (claimed 1,000) and audience reach (claimed 'everyone') are gross exaggerations for a specialist B2B SME. While the underlying business has strong real-world utility, the low-quality data entry and unverifiable personal claims ('most people have used my product') significantly depress the score relative to the actual business value.
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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