Proof of Usefulness Report

Decart

Analysis completed on 2/4/2026

+638
Proof of Usefulness Score
Category Standard

Decart is a confirmed 'unicorn' status company (Valuation: $3.1B) with verified high-profile technology (Oasis AI Minecraft, Real-time Video). Despite the submission's low-quality and hyperbolic text ('most people have used my product'), the underlying project data is exceptionally strong. Search confirms tens of millions in revenue, backing by Sequoia/Benchmark, and a viral product launch with >1M users in days. The score reflects top-tier traction and innovation, slightly penalized for the unprofessional submission quality.

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Score Breakdown

Real World Utility+169
Audience Reach Impact+135
Technical Innovation+111
Evidence Of Traction+186
Market Timing Relevance+48
Functional Completeness+2
Subtotal+651
Usefulness Multiplierx0.98
Final Score+638

Project Details

Project URL
decart.ai
Description
Decart.AI is an AI infrastructure platform that enhances the efficiency of AI models for faster and more reliable training and real-time inference. The company develops AI foundation models to create new generative AI experiences, enabling organizations to train massive AI models at scale while significantly reducing costs and improving efficiency. Decart has developed real-time generative AI open world models and video generation technology, aiming to democratize consumer AI through innovative and cost-effective solutions.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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