The offline reading thing is bad wording from my side. I mean offline reading on the mobile app (when you don't have internet access / access to the server).
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!
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!
Thanks for the advice will do that for sure! Concerning your questions I applied mostly to US based companies( Facebook, Google, Quora, Dropbox, Box, Pinterest, ..).
Thank you :)
In my university our GPA scale is inverted. The best you can achieve is 0.7 which corresponds to an A+ and the worst is 5.0 which is an F.
Sending an email to [email protected] fails with the error :
"the user you are trying to contact is receiving mail at a rate that prevents additional messages from being delivered."
As for your request, we're tracking this in (https://github.com/hoarder-app/hoarder/issues/172), which aims to do exactly what you're asking for.