The project represents a legitimate boutique consultancy (Data Relish) led by a verified industry expert (Jen Stirrup, Microsoft MVP). However, the submission data is of very poor quality, containing hyperbolic and objectively false claims (e.g., 'most people have used my product', 'audience reach: everyone'). While the founder's reputation and the service's utility are high, the lack of verifiable revenue data ('marketcap: 50000') and the non-scalable nature of consulting limit the score compared to high-growth tech platforms. The score reflects the founder's proven authority balanced against a sloppy submission.
Ready to Compete for $150k+ in Prizes?
Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes
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