This n8n workflow automates the process of crawling Hacker News for trending GitHub project links, extracting relevant metadata, and generating engaging social media content for Twitter and LinkedIn. It involves several key steps: initiating on a scheduled trigger, crawling Hacker News, parsing HTML to identify GitHub links, visiting the project pages for insights, and using AI to craft brief posts tailored for each platform. The workflow ensures content uniqueness, delays posting to avoid duplication, and communicates posts via Telegram. It is ideal for developers, tech enthusiasts, or organizations aiming to streamline the sharing of trending open-source projects or discussions without manual input.
Automated Social Sharing of Trending GitHub Projects
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.openAi, airtable, code, filter, httpRequest, linkedIn, markdown, merge, noOp, scheduleTrigger, stickyNote, telegram, twitter, wait |
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