Proof of Usefulness Report

Korbit Technologies

Analysis completed on 1/24/2026

+625

Proof of Usefulness Score

Category Standard

Korbit Technologies is a verified Series A startup (raised ~$11.3M) spun out of the Mila AI Institute, initially offering AI tutors for students and pivoting to an AI Mentor for software engineering teams. Despite the low-quality submission claims ('most people have used my product', 'marketcap: null'), the actual project demonstrates high technical innovation, strong backing (Khosla Ventures), and significant utility in the GenAI/DevTools space. The score reflects verifiable external traction and high technical pedigree, heavily penalized by the poor accuracy of the submission data.

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Score Breakdown

Real World Utility+21.25

Audience Reach Impact+4.5

Technical Innovation+20.25

Evidence Of Traction+9.38

Market Timing Relevance+9.5

Functional Completeness+0.25

Subtotal+65.13

Usefulness Multiplierx0.96

Final Score+625

Project Details

Project URL

korbit.ai

Description

Korbit Technologies is a Canadian startup building the future of online education: intelligent tutors, which use AI to teach students through interactive exercises and conversations. Students solve exercises while conversing with an intelligent tutor online, which adapts itself to each student's personal learning profile and provides targeted pedagogical interventions.\n\nKorbit Technologies is developing a real-time interactive and personalized intelligent tutor which can make a big difference in learning outcomes and student motivation, and have been designed to scale to thousands of courses and millions of students. Korbit’s mission is to democratize education by providing a high quality, interactive and personalized education for students around the world at low cost.

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