Proof of Usefulness Report

DeepSpeed

Analysis completed on 1/19/2026

-3
Proof of Usefulness Score
Lab Mode

The submission appears to be an impersonation or a low-quality project unrelated to the widely known Microsoft DeepSpeed library. The domain 'deepspeed.it' does not host a verifiable product matching the description. Claims of reach ('everyone') and traction ('most people have used my product') are demonstrably false and treated as red flags. The launch date (2012) contradicts the timeline of the actual DeepSpeed technology (2020), and the response quality is extremely poor.

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Score Breakdown

Real World Utility+1
Audience Reach Impact+0
Technical Innovation+0
Evidence Of Traction-5
Market Timing Relevance+0
Functional Completeness+0
Subtotal-3
Usefulness Multiplierx0.92
Final Score-3

Project Details

Project URL
deepspeed.it
Description
DeepSpeed is a technology company specializing in advanced software solutions and services, with a focus on optimizing and accelerating machine learning and artificial intelligence applications. Operating under the domain deepspeed.it, the company is known for its innovative approaches to enhancing computational efficiency and performance. DeepSpeed provides tools and platforms that enable businesses and developers to scale their AI models effectively, reducing training times and improving overall system throughput. Their offerings are particularly valuable for organizations looking to leverage cutting-edge AI technologies to gain a competitive edge in various industries.
Audience Reach
everyone
Target Users
everyone
Technologies
Machine Learning, Software Development, Productivity
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Early stage requiring focused development
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