Analyze Hacker News Trends & Auto-Publish Daily Digests
Automatically publish AI-curated Hacker News history digests daily, saving over 5 hours weekly in manual research and content generation.
Manually sifting through years of Hacker News headlines to spot trends and daily insights is time-consuming and inefficient. This workflow leverages AI to automatically scrape historical Hacker News data, categorize top headlines, identify tech landscape evolution, and publish compelling daily digests to Telegram.
Documentation
AI-Powered Hacker News History Summaries
Manually sifting through years of Hacker News headlines to identify key trends and daily insights is a monumental task. This workflow transforms that challenge into an automated, intelligent process, delivering curated historical summaries directly to your audience.
Key Features
- Automated Historical Data Collection: Effortlessly scrapes Hacker News front-page headlines for a specific date across multiple years (back to 2007).
- Advanced AI Analysis & Categorization: Leverages Google Gemini via LangChain to intelligently group headlines by theme, identify significant events, and analyze tech landscape evolution.
- Compelling Markdown Output: Generates neatly formatted, hyperlinked Markdown summaries ready for publication.
- Seamless Telegram Publishing: Automatically posts daily "On This Day" Hacker News digests directly to a designated Telegram channel.
- Customizable Content Generation: The LLM prompt is fully configurable, allowing you to tailor the analysis and output style to your specific needs.
How It Works
This workflow begins daily with a scheduled trigger. It dynamically calculates the current date and generates a list of corresponding dates going back to Hacker News's inception in 2007. For each historical date, it scrapes the Hacker News front page, extracts headlines and their URLs, and then aggregates this data. Finally, the collected information is fed into Google Gemini (via LangChain) which analyzes and categorizes the headlines, identifies overarching trends, and formats the insights into a structured Markdown digest. This final, AI-generated content is then automatically published to a specified Telegram channel.