Community Insights: HN Comments Clustering with Qdrant & AI - n8n Workflow | Neura Market

    Community Insights: HN Comments Clustering with Qdrant & AI

    Clusters Hacker News comments by similarity using Qdrant vectors and Python, then generates AI-powered insights saved to Google Sheets for quick community analysis.

    This advanced n8n workflow analyzes Hacker News (HN) comments to uncover community insights through vector embeddings and clustering. It fetches comments via the HN API, stores them in a Qdrant vector database with metadata, applies a Python-based clustering algorithm to group similar comments, and uses an AI agent to summarize each cluster's positives, negatives, and consensus. Ideal for researchers, HN users, or analysts studying topic discussions, it reveals patterns like frequent praises or
    Platform
    n8n
    Category
    Internet of Things
    Price
    $24.99
    Creator
    Bryce Yu
    • Qdrant
    • Python
    • HackerNews
    • AI Insights
    • Clustering
    • Vector Embeddings
    • Analytics
    • OpenAI
    • Google Sheets
    • Community Analysis
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    How to import this workflow into n8n

    1. 1Purchase or download the workflow to get the n8n workflow JSON file.
    2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
    3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
    4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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