Proof of Usefulness Report

Raven Protocol

Analysis completed on 1/28/2026

+12
Proof of Usefulness Score
You're In Business

The submission for Raven Protocol contains significant inaccuracies, most notably the claim that 'most people have used my product,' which is contradicted by market data showing a daily trading volume of under $10 and a micro-cap valuation (~$300k) for a project launched in 2017. While the concept of decentralized AI training is relevant, the project appears to be functionally inactive ('zombie status') with abandoned GitHub repositories and negligible adoption compared to competitors like Bittensor. The score reflects the lack of verifiable utility and the poor quality of the submission.

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Score Breakdown

Real World Utility+2.50
Audience Reach Impact+1.00
Technical Innovation+3.00
Evidence Of Traction+0.63
Market Timing Relevance+3.00
Functional Completeness+0.25
Subtotal+10.38
Usefulness Multiplierx1.12
Final Score+12

Project Details

Description
Artificial Intelligence fits perfectly with decentralization. Traditionally, big companies like Facebook, Google, and Amazon have had a competitive advantage in Machine Learning (ML). They own vast amounts of training data, employ researchers who develop the latest algorithms, and access to unlimited computing resources. \n\nBlockchain will pull that power out of the mega corps and transfer it into the hands of the AI community. Whoever creates the protocol for all AI blockchains to communicate with each other and share their resources, will set the future standards for all AI applications.\n\nRaven will be that protocol standard.\n

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