Proof of Usefulness Report

BrainHi

Analysis completed on 1/16/2026

+310
Proof of Usefulness Score
Certified Problem Solver

BrainHi is a verifiable, high-potential startup (Y Combinator S18) with estimated annual revenue of ~$3M and strong product-market fit in the healthcare sector. However, the submission itself is extremely low quality, containing false claims ('everyone', 'most people have used my product') and malformed data. The evaluation credits the actual business utility and market position derived from external verification, but applies significant penalties (0.5x Quality Factor) to the Traction, Reach, and Response Quality metrics due to the lack of credible evidence in the submission.

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Score Breakdown

Real World Utility+112
Audience Reach Impact+30
Technical Innovation+56
Evidence Of Traction+53
Market Timing Relevance+47
Functional Completeness+1
Subtotal+300
Usefulness Multiplierx1.03
Final Score+310

Project Details

Description
BrainHi is a technology company that specializes in providing AI-driven solutions to enhance customer communication and engagement for businesses, particularly in the healthcare sector. By leveraging advanced artificial intelligence, BrainHi automates appointment scheduling, reminders, and customer inquiries, allowing businesses to improve efficiency and customer satisfaction. Their platform is designed to seamlessly integrate with existing systems, offering a user-friendly interface that helps businesses manage their customer interactions more effectively.
Audience Reach
everyone
Target Users
everyone
Technologies
Messaging Communications, Productivity, Healthcare Tech
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