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Market Signal Intelligence Engine

An n8n pipeline that combines public market signals into a structured intelligence brief.

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Market Signal Intelligence Engine
RoleAI Automation Developer
Timeline2026
TeamPersonal project
Tech Stack5 Technologies

Mission Brief

This n8n workflow is designed to collect signals from Reddit, Hacker News, Product Hunt, and Google Trends. It normalizes and deduplicates records, scores them for relevance, freshness, engagement, and source diversity, then passes a balanced evidence set to GPT-4.1-mini through OpenRouter. JSON Schema validation checks the resulting brief before a Markdown report and run snapshot are prepared. The workflow design and n8n import are complete; live end-to-end execution is the next validation step.

Key Features

Signal pipeline

  • Four collectors share a normalized signal contract.
  • Deterministic scoring reduces noise before model analysis.
  • The output contract includes ranked themes, evidence, risks, recommended actions, and a Markdown report.

Engineering Chronicles

Signals from four sources arrive in different formats and may repeat the same story.

SolutionThe workflow uses a shared record format, deduplication, and deterministic scoring before AI analysis.

Installation Instructions

Import into n8n

Import workflow/market-signal-intelligence-engine.json from the repository and select an OpenRouter credential in n8n.

Project Access

Technologies

n8n
GPT-4.1-mini
OpenRouter
REST APIs
JSON Schema

Table of Contents

  • • Mission Brief
  • • Key Features
  • • Engineering Chronicles
  • • Installation Instructions