Proof of Usefulness Report

GF-ACCORD AI

Analysis completed on 1/22/2026

+88
Proof of Usefulness Score
You're In Business

The project represents a niche B2B consulting tool rather than the mass-market product claimed ('most people have used my product' is verifiable false). While the underlying 'GF-ACCORD' entity and its founder (PhD) are real and established in Geneva since 2010, the submission relies on buzzwords (NFTs, Black-box, Honey Badger Framework) and lacks verifiable evidence of significant traction or revenue. The technology appears to be a legacy semantics/NLP wrapper rebranded for the GenAI era. The submission quality was poor, containing false audience claims and missing data.

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Score Breakdown

Real World Utility+32.0
Audience Reach Impact+2.5
Technical Innovation+16.0
Evidence Of Traction+2.5
Market Timing Relevance+40.0
Functional Completeness+2.5
Subtotal+95.5
Usefulness Multiplierx0.92
Final Score+88

Project Details

Project URL
gf-accord.biz
Description
GF-ACCORD AI offers black-box software that reproduces and improves the work of business and financial analysts, consultants and representatives. The products are the software modules which do most of the intermediate-advanced intellectual work and involve NLP and Machine Learning including Generative AI. The specific employees are less needed for these tasks which is cost-efficient and allows for reallocation of resources and extra focus on creative and unexpected challenges. The software outputs can be tokenized and sold as NFTs. GF-ACCORD AI is committed to ESG via the adoption of the Honey Badger Management Framework.

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