The ability to easily do synchronization through a Nextcloud instance (or commercial cloud storage providers like OneDrive) is what’s keeping me on Joplin.
The ability to easily do synchronization through a Nextcloud instance (or commercial cloud storage providers like OneDrive) is what’s keeping me on Joplin.
Maybe I’m misunderstanding this, but their FAQ specifically says:
By default, your documents are stored inside the docker volume paperless_media. Docker manages this volume automatically for you.
It also says that documents are removed from the consumption directory, renamed, and put into a folder that you shouldn’t modify.
And that’s my problem with the project. I want to be able to keep my file name and organizational structure.
I experimented with self hosting RSSHub a while back and I do believe you could get past rate limiting on Instagram by configuring the app with your personal Instagram account credentials. I think those without an Instagram account were advised to follow pages via the Pikuki route instead.
The project linked is a fork of the version on F-Driod. You can download the APK directly from the Github and use it just fine.
Does WhatsApp not work at all on Graphene OS or do you just need to enable Google Play services for it to work? (I do understand why you personally may not want to enable the Play services, but I’m just curious about the potential capabilities).
Amaze File Manager can do this.
Can you say more or provide a source on why you shouldn’t use a browser as a Flatpak? Is it just because the sandboxing is potentially weaker?
Any tips on how to actually learn this keyboard? Do I just force myself to use it as much as possible until the movements start to become muscle memory? How long might that take?
A static site generator like Jekyll hosted on Github pages might be a good option. It’s free and easy-ish to configure without knowing much code since there are an abundance of open source templates around.
I’m not sure how well it would work in a self-hosted or server-type context, but GPT4all has built in RAG functionality. There’s also a flatpak in addition to the Windows, Mac and .deb installs.