Proof of Usefulness Report

Sumatra

Analysis completed on 1/30/2026

+587
Proof of Usefulness Score
Industry Mainstay

Sumatra (sumatra.ai) was a legitimate, venture-backed real-time machine learning platform that was successfully acquired, validating its high utility and technical innovation. However, the project submission itself is of extremely low quality, containing hyperbolic claims ('everyone', 'most people'), vague data, and garbage fields. The score reflects the strong underlying reality of the project (verified 67-person team, acquisition, enterprise tech) heavily penalized by the poor quality of evidence provided by the submitter.

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Score Breakdown

Real World Utility+255
Audience Reach Impact+40
Technical Innovation+127.5
Evidence Of Traction+135
Market Timing Relevance+75
Functional Completeness+5
Subtotal+637.5
Usefulness Multiplierx0.92
Final Score+587

Project Details

Project URL
sumatra.ai
Description
The Sumatra platform gives data scientists and ML engineers self-service tools to transform streaming event data into powerful features that drive real-time machine learning applications.\n\nOrganizations use Sumatra to build fast, fresh, agile ML services for everything from fraud prevention and network security to personalized recommendations and churn intervention.

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