Summarize Hacker News with AI: Discover the Open-Source Project Enhancing Article Digests
Hacker News Summary is an open-source project that uses AI technology, primarily the ChatGPT gpt-3.5-turbo model, to extract summaries and illustrations from Hacker News articles.
If ChatGPT is unavailable, the local GoogleT5 model is used. The service provides clear and easily understandable summaries.
Features
- Clear and easily understandable summaries generated by our advanced AI assistant
- Relevant illustrations make articles easily scannable and visually engaging
- Common video sites, PDFs, and GitHub gists are seamlessly embedded
- Flexibility to sort articles based on their points, comment count, or publication time
- Filter the topN articles based on their points.
- RSS feeds fully supported (#14, #19)
- Local translation (Chinese)
- Emoji's support
- Sort articles by points/comments/time
- Filter topN articles by points
- RSS
- Deploy on github pages
- Have a good sleep !important
Understanding Emojis
- ❤️: point - upvotes received from the Hacker News community
- 👤: user - Hacker News user who submitted this post
- 🕘: submission time - a human-readable time indicating when the post was submitted
- 💬: comment count - comments posted by the community, click to visit this comment page
- 🔗: source of the news - where the news originated
- 📰: summary model - which model is used to generate the summary, options are
OpenAI
,GoogleT5
andPrefix
How does it work?
The Hacker News Summary is a static site that periodically parses news articles from Hacker News, extracts main content using a score algorithm, finds suitable illustrations, generates summaries using OpenAI API or a local model, and deploys the rendered template to GitHub Pages.
License
LGPL-3.0 license