I started a few weeks ago (6 to be exact) a curation process. To make it short, I selected 150 feeds of news that I think are relevant, including HN, download new items on a regular basis, pre-filter them using light llms to filter out things that I'm not interested in (like billionaire drama, politics, recruitment, fundraising, astrophysics, commercial software ...) and filter them manually using a tinder-like application for news, with a few internal criterias: like open source software, human written inspiring text, dislike pricing buttons...

So basically, I got into a process of swiping 2500 or so times a week about content, before diving even more in the one that interested me at first glance, which means I've eaten a lot of my time for little to no value.

Any genius (or stupid) ideas on how to do better? I'd like to continue, but as it is now, it's too much time consuming and I'll get bored soon ... Of course I could automate the selection with LLMs but that's not the point, I like human-picked stuff (although I may benefit from auto-filtering generated content if I knew how to).

Thanks :)