Proof of Usefulness Report

Lamatic.ai

Analysis completed on 2/2/2026

+328
Proof of Usefulness Score
Certified Problem Solver

Lamatic.ai is a legitimate Seed-stage GenAI middleware platform (raised ~$955k, backed by YC alumni network) offering practical 'AgentOps' solutions (GraphQL, Edge deployment). While the project has verifiable traction (Product Hunt success, active development, testimonials), the submission itself contained highly inaccurate claims ('most people have used my product', 'everyone' audience), necessitating a significant penalty on Response Quality and Quality Factors. The project falls into the 'Small but promising' to 'Comparable scale' category due to verifiable funding and technology.

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Score Breakdown

Real World Utility+17.5
Audience Reach Impact+2.0
Technical Innovation+9.75
Evidence Of Traction+7.0
Market Timing Relevance+8.0
Functional Completeness+0.25
Subtotal+44.5
Usefulness Multiplierx0.74
Final Score+328

Project Details

Description
Lamatic.ai is a streamlined, low-code platform designed to seamlessly integrate Large Language Models (LLMs) into your applications using real-time data. Lamatic's GraphQL API magically resolves LLM request while managing your prompts, model connections, caching and analytics. Equipped with a comprehensive suite of tools and integrations, Lamatic.ai ensures the deployment of production-ready apps with ease.

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