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Proof of Usefulness Report

Scrubnet Ltd.

Analysis completed on 3/13/2026

+104.4
Proof of Usefulness Score
Gaining Momentum

Scrubnet presents a highly relevant and timely concept for an AI-focused data layer but completely lacks verifiable evidence of traction or technical implementation details. Vague and exaggerated claims ('most people have used my product', zero explanation of custom tech) result in low quality multipliers, reflecting minimal proven utility despite strong market timing.

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Score Breakdown

Real World Utility+25.0
Audience Reach Impact+1.0
Technical Innovation+7.5
Evidence Of Traction+0.0
Market Timing Relevance+80.0
Functional Completeness+2.5
Subtotal+116
Usefulness Multiplierx0.9
Final Score+104

Project Details

Project URL
Description
Scrubnet is the internet’s clean layer for AI systems: a machine-readable web built from the ground up for large language models and intelligent agents. Instead of bloated, human-oriented pages, it delivers structured, validated and continuously refreshed data that AI can crawl, parse and trust. As most online content is now consumed by bots, Scrubnet provides the frictionless foundation they need: fast, signal-rich, and free of UX noise. We exist for LLM platforms seeking efficient access to knowledge, for brands who want their information to appear consistently and accurately inside AI experiences, and for researchers and engineers building the next generation of AI infrastructure. Neutral by design and machine-first in principle, every feed on Scrubnet is timestamped, traceable and sourced from verified brands. Our goal is simple: to replace redundant web clutter with a trustworthy, standardised stream of content optimised for intelligent systems. As AI becomes the new search, Scrubnet is building what comes next.

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