This n8n workflow automates the process of daily technology news research by crawling TechCrunch using FireCrawl, filtering relevant articles based on keywords related to AI, machine learning, and startups, then summarizing those articles with an AI model, and finally sharing the concise summaries to a Slack channel. Designed for market analysts and tech enthusiasts, it ensures timely updates of industry insights. The workflow triggers every morning, collects and filters news, leverages AI for quick summaries, and promotes efficient information sharing, making it ideal for keeping teams updated with minimal manual effort.
Automated Tech News Summarization and Slack Sharing
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, httpRequest, scheduleTrigger, slack, stickyNote |
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