Eskwelabs is a legitimate, award-winning data science bootcamp based in the Philippines with verifiable graduates (~3,000+) and corporate partnerships. However, the submission itself is of very poor quality, containing exaggerated claims (e.g., 'most people have used my product', 'everyone') and ambiguous financial data ('marketcap 17000000'). While the real-world utility of the project is high and market timing is strong, the score is significantly penalized due to the unreliable input data and lack of verifiable global reach compared to the 'everyone' claim. The project falls into the 'Small but promising' category based on external verification, rather than the 'Minimal traction' suggested by the submission quality alone.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
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Showcase Revenue Model
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Expand Evidence Base
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Technical Roadmap
Share development milestones and feature completion timeline