Proof of Usefulness Report

Parter

Analysis completed on 2/4/2026

-2

Proof of Usefulness Score

Lab Mode

The submission describes a plausible B2B supply chain solution, but the entry is invalidated by critical red flags. The claim 'most people have used my product' is demonstrably false for a niche B2B tool launched in 2025 with a team size of 0. Furthermore, the domain 'parter.ai' appears inactive or unindexed. The discrepancy between the professional description and the nonsensical/hyperbolic form data suggests a test, spam, or low-effort submission.

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Score Breakdown

Real World Utility+2.5

Audience Reach Impact+0.0

Technical Innovation+0.75

Evidence Of Traction-6.25

Market Timing Relevance+1.0

Functional Completeness+0.0

Subtotal-2

Usefulness Multiplierx1.0

Final Score-2

Project Details

Project URL

parter.ai

Description

Parter is an AI-native platform designed to help electronics and hardware manufacturers manage supply chain volatility, streamline product development, and reduce operational risk. It integrates fragmented data sources such as BOMs, ERP, PLM, datasheets, and spreadsheets into a centralized intelligence layer. Headquartered in New York, Parter supports OEMs, ODMs, EMS, and contract manufacturers in sectors like automotive, IoT, communications, and defense.

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