Proof of Usefulness Report

Coding Ninjas

Analysis completed on 1/18/2026

+435
Proof of Usefulness Score
Certified Problem Solver

Coding Ninjas is a verifiable, established EdTech company in India with significant scale (~$8M annual revenue, ~300 employees), exceeding the calibration baseline in business metrics. However, the project submission quality is extremely low, featuring lazy responses (e.g., 'most people have used my product') and data entry errors (reporting 'marketcap' in the monthly revenue field). The score reflects the high real-world utility and verified market position, heavily penalized for the poor quality of evidence provided in the form.

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

View All Reports

Score Breakdown

Real World Utility+108
Audience Reach Impact+93
Technical Innovation+54
Evidence Of Traction+81
Market Timing Relevance+80
Functional Completeness+10
Subtotal+426
Usefulness Multiplierx1.02
Final Score+435

Project Details

Project URL
codingninjas.com
Description
Coding Ninjas is one of the largest online tech education company in India, focusing on courses on C++, Java, Python, Android, Machine Learning, Data science, WebDev, interview prep, tech aptitude etc. Coding Ninjas is the most preferred technical course platform for students in India and currently has a monopoly position across the college market in India.\n\nWith the vision to teach millions in a scalable way, Coding Ninjas has pioneered a proprietary online teaching platform, which completely mirrors the offline classroom experience into online, and thus delivers a world-class learning experience to students.\n\nWith an in-house placement cell, Coding Ninjas is actively involved in sourcing relevant tech openings and showcasing Coding Ninjas students profiles to get them a rewarding career in tech.
Audience Reach
everyone
Target Users
everyone
Technologies
Elearning, Educational Institutions, Machine Learning
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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