Part of my job is to understand the conversations that are happenging in the web development industry and synthesise the sentiment so that the teams in the company I work at can get a quick. It can take a long time to parse the comment threads and form an opinion about how the discussion went. It turns out that there are tools that can parse the content of page and quickly synthesise the main points of discussion.
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.