Welcome to TL;DR Rocks!
This is a simple site that has a summary of the conversations on social sites like hackernews.
The summary is autogenerated via Machine Learning model and then tweaked after to provide a human crafted narrative on top of it.
Currently the best responses are generated by Claude.ai. The prompt used is as follows:
[Insert a copy of all the comments from the Hacker News post here]
Summarize this Hacker News post.
The output should be in Markdown and have three sections: Positive Sentiment; Negative Sentiment; Recommend actions to address the feedback.
Extract up to 5 of the most relevant links to external content that are in the text and add them to an "Interesting links" section. Do not include malformed URLs.
Learn about why I built this.
I lead the Chrome Developer Relations team at Google.
We want people to have the best experience possible on the web without having to install a native app or produce content in a walled garden.
Our team tries to make it easier for developers to build on the web by supporting every Chrome release, creating great content to support developers on web.dev, contributing to MDN, helping to improve browser compatibility, and some of the best developer tools like Lighthouse, Workbox, Squoosh to name just a few.