Proof of Usefulness Report

QFunction

Analysis completed on 3/20/2026

+11.21

Proof of Usefulness Score

You're In Business

The project concept addresses a valid cybersecurity niche (anomaly detection and threat hunting via ML). However, the submission lacks credible evidence, featuring vague target audiences ('everyone') and heavily exaggerated traction claims ('most people have used my product'). A speculative $500k market cap with no active users or verifiable revenue metrics results in a near-zero traction score.

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Score Breakdown

Real World Utility+5.0

Audience Reach Impact+1.0

Technical Innovation+1.5

Evidence Of Traction+0.0

Market Timing Relevance+2.0

Functional Completeness+0.25

Subtotal+9.75

Usefulness Multiplierx1.15

Final Score+11

Project Details

Project URL

qfunction.ai

Description

QFunction provides machine learning and artificial intelligence services to cybersecurity data. We help you find anomalies in your data for threat hunting purposes and targeted user behavior analytics. We differentiate ourselves in the fact that we implement these solutions directly into your existing cybersecurity infrastructure without the need to implement an entirely new product in your environment.

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