Proof of Usefulness Report

Apqor Technologies

Analysis completed on 3/23/2026

-11.5

Proof of Usefulness Score

Lab Mode

The submission contains major red flags, including highly exaggerated and unverifiable claims regarding traction ('most people have used my product') and audience reach ('everyone'). Additionally, the revenue metric provided is nonsensical ('all time marketcap: 500000'). Due to these unsupported assertions, vague technical specifics, and lack of credible evidence, the project falls into the negative tier according to the calibration guidelines.

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Score Breakdown

Real World Utility0.25)

Audience Reach Impact0.20)

Technical Innovation0.15)

Evidence Of Traction0.25)

Market Timing Relevance0.10)

Functional Completeness0.05)

Subtotal-10

Usefulness Multiplierx1.15

Final Score-11

Project Details

Project URL

apqor.tech

Description

At APQOR, our team is working to help the digital world to be a freer, fairer and safer place through the technology of Artificial Intelligence and Machine Learning. APQOR secures your devices against viruses, malware, and other threats, both at home and away. We are working to shape the future of cybersecurity to build best in class products and solutions. We are focused on key areas like Malware Detection and Protection, Artificial Intelligence and Machine Learning, and Internet of Things.

Algorithm Insights

Market Position

Early stage requiring focused development

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