This n8n workflow automates the process of extracting trending Reddit posts and comments, analyzing them using an AI language model, and generating minimal viable product (MVP) ideas. It begins by triggering based on a selected subreddit, retrieves existing post slugs from an Excel database to avoid duplicates, and then fetches new trending posts from Reddit. The workflow filters out previously used posts to focus on fresh content. For each new post, it gathers comments, concatenates post data, then utilizes an AI-powered language model to generate MVP ideas based on the post and comments. The results are processed and appended to a spreadsheet, creating a continually updated repository of innovative MVP concepts gleaned from Reddit discussions. This workflow is highly useful for startups, content creators, or product teams seeking inspiration from social media trends and Reddit conversations, ensuring they target fresh and relevant content while systematically capturing valuable insights.
Automated Reddit Content Analysis & MVP Generation Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, formTrigger, merge, microsoftExcel, reddit, removeDuplicates, splitInBatches, splitOut, stickyNote |
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