Proof of Usefulness Report

Tanos

Analysis completed on 3/21/2026

+118.45

Proof of Usefulness Score

Gaining Momentum

Tanos attempts to solve a genuine problem by evaluating source code with ML. However, the submission lacks credible data and contains exaggerated or unsubstantiated claims such as 'most people have used my product' and 'everyone' as the target audience. Technical details are minimal, significantly penalizing the quality multipliers and evidence of traction.

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Score Breakdown

Real World Utility+62.5

Audience Reach Impact+5

Technical Innovation+22.5

Evidence Of Traction+6.25

Market Timing Relevance+30

Functional Completeness+2.5

Subtotal+128.75

Usefulness Multiplierx0.92

Final Score+118

Project Details

Project URL

tanos.ai

Description

By applying machine learning tools Tanos improves the measuring, evaluating and benchmarking process of source code and thus reduces by orders of magnitude the opportunity cost of bad code.

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