Proof of Usefulness Report

Metabob

Analysis completed on 1/6/2026

+174
Proof of Usefulness Score
Gaining Momentum

Metabob is a verifiable, funded seed-stage startup providing AI-based code reviews using Graph Neural Networks (GNNs) and LLMs. While the project has legitimate technical utility and backing (Alchemist Accelerator, NSF grant), the submission itself is of extremely low quality, containing false claims ('most people have used my product', 'audience: everyone') and lacking data. Independent verification confirms the tool's existence and niche traction among developers, but the score is penalized heavily for the submission's inaccuracy and lack of transparency.

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Score Breakdown

Real World Utility+75
Audience Reach Impact+12
Technical Innovation+45
Evidence Of Traction+32
Market Timing Relevance+28
Functional Completeness+1
Subtotal+193
Usefulness Multiplierx0.9
Final Score+174

Project Details

Project URL
Description
Generative AI for refactoring and debugging code
Audience Reach
everyone
Target Users
everyone
Technologies
Generative Ai
Traction Evidence
most people have used my product

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