mohamedbassem

This is indeed the plan. We're currently working on generating embeddings for the all the bookmarks stored, and one of the usecases of this is going to be clustering. If a bookmark is similar to all other bookmarks in a list, the model can suggest adding those bookmarks to the list. Still a manual operation, but with ML assistance.

The tagging system is indeed flat, but the lists can be nested. The idea being that tags are usually AI generated, and there's a lot of them (which is useful for search), but lists are meant for manual curation and this is where you can have whatever structure you want.

Hoarder supports customizing the tagging prompt in the user settings. You can instruct the model with whatever rules you want to constrain the tags to your likings!

Hoarder's maintainer here! What a nice surprise seeing Hoarder on the homepage of hackernews!

Hey, Hoarder's maintainer here. I'd like to know more about the pain you're facing when upgrading hoarder. All the releases since launch has been backward compatible, and it has always been just a matter of updating the docker images.

Also for searches, Hoarder indexes all the content of the websites it crawls. If it doesn't for you then that would be a bug!