Proof of Usefulness Report

LinearB

Analysis completed on 2/9/2026

+606
Proof of Usefulness Score
Category Standard

LinearB is a highly successful, venture-backed company (Series B, ~$71M funding, ~$16M ARR) with significant market presence in engineering efficiency. However, the specific submission provided is of extremely low quality, containing vague, exaggerated, or inaccurate data (e.g., 'most people have used my product', 'audience: everyone'). The score reflects the high verifiable utility and traction of the actual platform, heavily penalized by low Quality Factors due to the poor submission details.

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Score Breakdown

Real World Utility+90.0
Audience Reach Impact+42.5
Technical Innovation+85.0
Evidence Of Traction+47.5
Market Timing Relevance+90.0
Functional Completeness+5.0
Subtotal+63.75
Usefulness Multiplierx0.95
Final Score+606

Project Details

Project URL
Description
LinearB is the AI Productivity Platform for Engineering Leaders. As AI accelerates code creation, DevEx and Platform teams must manage the downstream impact—review, testing, and release. LinearB provides real-time visibility and developer-first automation to help teams ship faster and improve developer experience. Learn more at https://linearb.io

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