Enhance LinkedIn with StopSlopIn: AI-Powered Post Filtering

Transform your LinkedIn experience with this powerful n8n workflow that serves as the official backend for the StopSlopIn Chrome extension, automatically filtering low-quality posts using AI-powered classification and machine learning.

What this workflow does

This intelligent automation workflow operates as a sophisticated webhook service that powers the StopSlopIn Chrome extension available on the Chrome Web Store. The system processes LinkedIn posts through a dual-action approach: analyzing content quality and learning from user feedback to continuously improve filtering accuracy.

The workflow uses a Switch node to route incoming requests between two core functions. For post analysis, it enriches each LinkedIn post with similar previously-rated content pulled from a Qdrant vector store using RAG (Retrieval-Augmented Generation). Posts are then batched and sent to OpenAI's language model with a strict quality-gate system prompt that returns structured JSON results marking posts as "pass" or "fail." For the voting function, user feedback is embedded and stored in the Qdrant vector database, creating a self-improving system that gets smarter over time.

Use cases

• Content creators and marketers who need to filter through high volumes of LinkedIn posts efficiently
• Sales professionals seeking to focus on quality networking content while avoiding spam
• Recruiting teams who want to streamline their LinkedIn browsing experience
• Business professionals looking to curate their LinkedIn feed for meaningful industry insights
• Social media managers needing to identify valuable content patterns and trends

Technical details

This n8n workflow leverages multiple powerful nodes including Switch, Set, Filter, Merge, If, and No Op nodes to create a seamless automation pipeline. The integration connects with OpenAI for LLM classification and embeddings generation, while utilizing Qdrant vector store for machine learning capabilities and data persistence.

Setup requires your own OpenAI API credentials and Qdrant database configuration, ensuring complete data privacy as everything runs on your personal n8n instance. The workflow exposes a webhook URL that integrates directly with the StopSlopIn Chrome extension for real-time LinkedIn post filtering.