I've been hacking on a related side project -- in my case, I wanted something like this but for Twitter. Right now it's using gpt-3.5-turbo to cluster related Tweets & rank based on my interests.
I also wrote my own feed aggregator (https://mofeed.news) from scratch in Go. It can connect to twitter, reddit, spotify/itunes(podcasts), rss, medium, youtube, etc.It has a good search engine (meilisearch) and also supports newsletter (each user has an inbox).
I'm currently testing it and have a few test users for feedback. I hope I can open source it sometime this year, after integrating the feedbacks, and polishing the code.
It's not intelligent for now, but that's by choice. Instead, I prefer to have custom rules for filtering (e.g., adding tweets from user X to feed only if the likes are above a threshold). I may use GPT for summarization later, but honestly most of the posts are either short (e.g., tweets), or they come from websites that have description/summary in their meta tags.
Please shoot me an email to `hey@mofeed.news` if you want to test it :)
I've been hacking on a related side project -- in my case, I wanted something like this but for Twitter. Right now it's using gpt-3.5-turbo to cluster related Tweets & rank based on my interests.
Source is here: https://github.com/kasrak/feedpaper