Proof of Usefulness Report

Potassco Solutions

Analysis completed on 2/27/2026

+138
Proof of Usefulness Score
Gaining Momentum

The project represents a legitimate and highly sophisticated technology (Answer Set Programming) backed by the University of Potsdam. However, the submission itself is of extremely low quality, featuring a pseudonym ('ThunderFang'), unverifiable and factually incorrect claims regarding traction ('most people have used my product'), and nonsensical revenue metrics ('marketcap: 2500000'). While the underlying utility of Potassco solutions is high for niche industrial optimization, the submission fails to demonstrate professional commercial viability or realistic market awareness, resulting in a heavily penalized score.

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Score Breakdown

Real World Utility+37.5
Audience Reach Impact+2.5
Technical Innovation+42.5
Evidence Of Traction+2.5
Market Timing Relevance+30.0
Functional Completeness+5.0
Subtotal+131.66
Usefulness Multiplierx1.05
Final Score+138

Project Details

Project URL
potassco.com
Description
We are a passionate team of experts in knowledge-driven Artificial Intelligence, having a strong research background in knowledge representation and reasoning. Our approach builds upon cutting-edge, open-source systems developed at the University of Potsdam and available at potassco.org. Every team member brings a wealth of experience in solving knowledge-intensive combinatorial optimization problems, both in academia as well as in industry. This expertise ranges from scientific applications in biology, embedded systems, and robotics, through to entertainment systems, and industrial applications in the automotive, logistic, and transport industries.

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