Proof of Usefulness Report

Eskwelabs

Analysis completed on 2/7/2026

+204
Proof of Usefulness Score
Gaining Momentum

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

Real World Utility+85.0
Audience Reach Impact+16.0
Technical Innovation+24.0
Evidence Of Traction+36.0
Market Timing Relevance+32.0
Functional Completeness+2.0
Subtotal+195
Usefulness Multiplierx1.05
Final Score+205

Project Details

Project URL
Description
We combine best practices in online cohort-based courses with an empathetic and enthusiastic pool of talented coaches in the Philippines to make what is otherwise a cutting-edge and luxury learning experience accessible and affordable around the world.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

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