Proof of Usefulness Report

eSystem Engineering Society

Analysis completed on 2/20/2026

+56
Proof of Usefulness Score
You're In Business

The eSystem Engineering Society is a legitimate, long-standing (founded ~2007) non-profit organization that manages the Developments in eSystems Engineering (DeSE) conference series. While the entity has verifiable history and IEEE-published proceedings, the submission itself contained significant exaggerations (claiming 'everyone' as the audience and 'most people' as users). As an academic society, it serves a valuable but highly niche community, lacking the scale or technical product innovation of a high-growth technology startup. The 'marketcap' figure likely refers to cumulative funding or is a misuse of terms, as no major crypto token matches the society's profile.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+6.0
Technical Innovation+3.0
Evidence Of Traction+14.0
Market Timing Relevance+8.0
Functional Completeness+0.25
Subtotal+48.75
Usefulness Multiplierx1.15
Final Score+56

Project Details

Project URL
dese.ai
Description
The aim of the Society involves all aspects of theory, design, practice, and application relating to Computer systems driven by artificial intelligence and sensor technology. This could include eSystems Development, Data Science and Big Data Research, IoT (Internet of Things) & IoE (Internet of Everything) Development and Applications, Big Data, Smart City, Smart Health, Smart Living and Smart Home, Health networking, Learning Analytics, Business Intelligence and Cloud Computing. The eSystem Engineering Society is an international organisation devoted to computer systems, innovation and technology. The eSystem Engineering Society is the founder, the main organiser and technical sponsor of the Developments in eSystems Engineering Conference Series. The Society is a volunteer-led non-profit technical organisation, with a wide community of software engineers, academics, data scientists, researchers, students, practitioners and more.

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