Proof of Usefulness Report

MonkeySee AI

Analysis completed on 3/22/2026

+4.28

Proof of Usefulness Score

You're In Business

The submission contains numerous red flags, including vague audience definitions ('everyone'), lack of technical detail ('Internet'), and highly implausible traction claims ('most people have used my product'). Revenue metrics are confused with a 'marketcap', suggesting unverified tokenomics rather than actual business revenue. As a result, the project receives a minimal score reflecting unsubstantiated claims and exceptionally poor response quality.

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Score Breakdown

Real World Utility+2.50

Audience Reach Impact+0.00

Technical Innovation+0.75

Evidence Of Traction+0.00

Market Timing Relevance+1.50

Functional Completeness+0.00

Subtotal+4.75

Usefulness Multiplierx0.9

Final Score+4

Project Details

Project URL

monkeysee.ai

Description

We build machine learning models that understand web apps, so you can build stable products that better help your users.

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