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I built something similar a long time ago using deno and deploy.

https://github.com/searchableguy/burger

Although, after trying out different feeds and approaches. I must admit, I don't care about every item that is posted on a news site or someone's blog.

Anything interesting will get posted here.

So I figured I need a way to clean up HN stories that I don't find useful. I built an API server which does this using sentiment analysis.

Another problem I noticed is I tend to click on comments of stories I know won't be any useful (web3?) but it's hard to stop the urge so I check if comments are overly negative and return a score which is used to hide or show the see discussion button.

I also return all the urls from the discussion separately because those are usually good resources.

Meet cabbage news - https://github.com/searchableguy/cabbage_news

I haven't updated the repo so it is probably outdated and that's my first time writing a python application.

Oh here's the block list of keywords I recommend to everyone using HN

https://github.com/searchableguy/cabbage_news/blob/main/app/...




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