Proof of Usefulness Report

Schometer

Analysis completed on 2/19/2026

+25
Proof of Usefulness Score
You're In Business

The submission presents significant contradictions between a professionally written description and highly unprofessional, inconsistent metadata fields. While the description claims 40,000 users and partnerships with major universities (Oxford, Peking, UCL), there is no verifiable external evidence (press, research papers, or social footprint) to support this. The traction claim 'most people have used my product' is hyperbolic and unverifiable. The discrepancy between the project name 'Schometer' and the field 'name': 'StarShade' suggests a copy-paste error or lack of attention to detail. The revenue field confuses market cap with revenue. Due to these red flags and lack of verifiable traction, the score is heavily penalized.

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+30.0
Audience Reach Impact+5.0
Technical Innovation+20.0
Evidence Of Traction+5.0
Market Timing Relevance+80.0
Functional Completeness+5.0
Subtotal+23
Usefulness Multiplierx1.08
Final Score+25

Project Details

Project URL
schometer.ai
Description
Schometer is a UK-based team dedicated to supporting the responsible use of AI in education. Since 2023, we’ve been developing honest and reliable AI-powered evaluation tools to help educators assess academic writing across disciplines quickly and fairly. So far, we've supported over 40,000 users in learning and feedback through our subject-tailored algorithm and customizable rubrics. We are headquartered in the United Kingdom, with team members across Europe, North America, and Asia. We are currently engaging with educators, researchers, and students from institutions such as Oxford University, Peking University, UCL, and The Hong Kong Polytechnic University to explore the responsible use of AI in higher education. These conversations help shape our approach to academic integrity, fairness, and feedback quality. Schometer is GDPR-compliant, and we are committed to human-in-the-loop oversight in high-stakes educational settings.

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