Is just a try at reading rss from predominantly news websites and storing them. The only difference is the short ML article summarizer that lets you know the context quickly.

The main components are bound to be run separately. In its essence the project only has a reader/writer job and then a starlette powered tailwind designed frontend.

The main task of this job is to read rss feeds configured asynchronously and then pass it through a summarizer and store it

Picks the newly stored article feeds from the storage and paginates and shows it. Its that simple

This needs a mention here. Because at the end of the day Im using this as my personal news source gatherer. Also it is my experiment to see how much I can achieve without spending a lot of money.

• The Job is run via Github Actions schedule
• Database is on the Supabase Free tier.
• The webapp runs on render which gives me a free onrender.com domain.