Round 1 Winners!
Proof of Usefulness Report

Hakken AI

Analysis completed on 3/19/2026

-12.6
Proof of Usefulness Score
Lab Mode

The submission contains major red flags including highly improbable claims ('audience reach: everyone', 'most people have used my product'), extremely vague technical details ('Internet'), and incongruent financial metrics ('all time marketcap: 2500000'). These factors strongly indicate a low-effort, unsubstantiated, or potentially fraudulent submission with no verifiable traction, resulting in a negative score.

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Score Breakdown

Real World Utility+2.5
Audience Reach Impact-5.0
Technical Innovation-0.75
Evidence Of Traction-10.0
Market Timing Relevance+0.5
Functional Completeness-1.25
Subtotal-14
Usefulness Multiplierx0.9
Final Score-13

Project Details

Project URL
Description
Hakken specializes in leveraging advanced analytics and machine learning to deliver decision intelligence solutions across urban planning, architecture, and the built environment.

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