Proof of Usefulness Report

Distributive

Analysis completed on 2/20/2026

+215
Proof of Usefulness Score
Gaining Momentum

The project represents a legitimate distributed computing technology (DCP) capable of utilizing idle browser/device resources, which shows genuine technical innovation and real-world utility for research and data processing. However, the submission itself is of very poor quality, containing demonstrable falsehoods such as 'most people have used my product' and claiming the audience is 'everyone'. While the underlying technology is active and documented (dcp.dev), the reported market cap ($2.5M after 7+ years) and lack of verifiable widespread adoption place it in the 'small/niche' category. The score reflects the potential of the technology heavily penalized by the exaggerated traction claims and lack of credible evidence in the submission.

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Score Breakdown

Real World Utility+11.375
Audience Reach Impact+1.0
Technical Innovation+9.6
Evidence Of Traction+0.625
Market Timing Relevance+8.0
Functional Completeness+0.25
Subtotal+30.85
Usefulness Multiplierx0.70
Final Score+215

Project Details

Description
Distributive revolutionizes the way organizations approach computing - the Distributive Compute Protocol (DCP) is a hybrid and flexible distributed computing framework that eliminates complicated devOps, cloudOps, containerization, and Lift-and-Shift efforts. With DCP, developers can focus on writing code while DCP automatically handles server and cloud instance management. DCP distributes data processing tasks to on-prem servers, computers, and IoT devices before consuming cloud resources, thereby reducing cloud spend by up to 90% and keeping data private and on-prem. DCP provides a unified analytics engine for big data processing both on-prem and in the cloud, making it a versatile and powerful solution. Choose Distributive and let DCP accelerate your data processing and analytics efforts with ease. ---- Distributive révolutionne la manière dont les organisations abordent le calcul - le Protocole de Calcul Distribué (DCP) est une infrastructure de calcul distribuée hybride et flexible qui élimine les opérations complexes de devOps, cloudOps, de conteneurisation et de "Lift-and-Shift". Avec DCP, les développeurs peuvent se concentrer sur l'écriture de code tandis que DCP gère automatiquement la gestion des serveurs et des instances de cloud. DCP distribue les tâches de traitement des données vers les serveurs sur site, les ordinateurs et les appareils IoT avant de consommer les ressources de cloud, réduisant ainsi les dépenses de cloud jusqu'à 90% et garantissant la confidentialité des données. DCP fournit un moteur d'analyse unifié pour le traitement des données volumineuses, à la fois sur site et dans le cloud, ce qui en fait une solution polyvalente et puissante. Choisissez Distributive et laissez DCP accélérer vos efforts de traitement et d'analyse de données en toute simplicité.

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