Proof of Usefulness Report

Abeju AI

Analysis completed on 3/20/2026

-10.36

Proof of Usefulness Score

Lab Mode

The submission contains explicit red flags and contradictory claims. It describes itself as a 'stealth startup' launched in 2015, yet claims 'most people have used my product' without providing any active user data. Financial metrics are nonsensical ('all time marketcap: 500000'), and the technology description is extremely vague. Due to the lack of verifiable traction and presence of deceptive or contradictory inputs, the evaluation results in a negative score, aligning with calibration guidelines for red-flag submissions.

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Score Breakdown

Real World Utility-2.50

Audience Reach Impact-2.00

Technical Innovation+0.75

Evidence Of Traction-5.00

Market Timing Relevance+0.00

Functional Completeness-0.50

Subtotal-9.25

Usefulness Multiplierx1.12

Final Score-10

Project Details

Project URL

abeju.com

Description

Abeju is a stealth startup building a machine learning platform that aids human interactions with the physical world

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