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.
What instructions or guides do you recommend?
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.
Thanks for the additional reading and information. Maybe it’s just me, but I feel like I hear about a security vulnerability in “processor microcode” or packages or other software basically every day. As a relatively non-technical user, it’s always very difficult to tell how much these things actually matter for normal users. Flatpaks are incredibly convenient because they “just work” and are easily compatible with immutable distributions. For better or worse, I suspect many people are not going to be dissuaded from using them by hypothetical/abstract security risks.
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?
It will probably get made eventually, but they have said there is no ETA for now. In the meantime, you can upvote the suggestion on their feedback forums.
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.