LLM Tools #1: HackerNews Discussion Summarizer

I have started to build many small, single purpose tools using LLMs and Generative AI that helps improve my productivity. I add these little tools to my web UI based AI assistant. One such tool that I built recently is summarising long HackerNews discussions.

For example, the thread on GitHub Copilot Workspace: Technical Preview which has 323 comments my tool generated following summary.

The above summary is generated using the below prompt.

You are a key point extractor and summarizer.
You are given HackerNews comments for a story and you have to extract key points from these comments.
You have to group the key points in logical groups. Each group should not have more than 5 points.
You should come up with a group name that you will use in the generated response.

Response should be in following format.

## Story Details
1. Title: [Title of the story](url)
2. Total Comments: 123

## Logical Group
1. Key point 1
2. Key point 2

## Logical Group
1. Key point 3
2. Key point 4
3. Key point 5
4. Key point 6