Hacker News Summary leverages AI technology to extract summaries and illustrations from Hacker News articles, providing a seamless news scanning experience.
Summaries are primarily generated by ChatGPT gpt-3.5-turbo model, and fallback to local GoogleT5 model when ChatGPT is not available.
- 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 explained:
- ❤️: 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,GoogleT5andPrefix
Hacker News Summary is a static site hosted on GitHub Pages. It performs the following periodic actions:
- Parsing the Hacker News page to obtain a list of news articles
- Extracting the main content from each news article using a score algorithm
- Finding the most suitable illustration for each article and making a local copy
- Generating summaries of the article's content using OpenAI API or invoking a local model as a fallback when the API is unavailable
- Rendering a template that incorporates the illustrations and summaries, and deploying it to GitHub Pages
Translation is also performed by ChatGPT, with a single extra step in the prompt. Currently supported languages:
- A better way to scrap websites (maybe PhantomJS & Selenium)
- Also summarize comments (see discussions on Hacker News)
- Switch to Hacker News API
- A more beautiful home page (maybe in HTML9)
- Discover an alternative local models for generating summaries
- Sort articles by points/comments/time
- Filter topN articles by points
- RSS
- Deploy on github pages
- Have a good sleep !important