Trying to discover new/unheard Linux desktop programs (Sorry for the confusion).
Edit: I apologise for confusing a lot of people. I meant Linux desktop “programs” coming from Windows/Mac. I’m used to calling them “apps”.
Edit: 🙌 I’m overwhelmed with the great “programs” people have recommended in the comment section. Thank you guys.
I was never able to fully get into Logseq, might give it another try at some point.
Have you tried QOwnNotes? I think it’s pretty good
I have not, I’m using Standard Notes at the moment. I’ll have a look at QOwnNotes though, thanks for the recommendation
Thank you for recommending this. I started using Joplin about week or two ago, but this one seems even better for me.
Do it!
I had some initial problems in the beginning, because I was used to linear note taking apps like OneNote or Joplin, but once I watched a guide on how it works, it clicked and now it’s my second nature. I even began to write my hand written notes in Logseq style!
TL;DR, if you don’t wanna watch any guides/ read docs:
[[Link]]
or#Tag
, which are the same. They crosslink different topics and reveal connections.I used Obsidian extensively at a previous job. The linking of notes was super helpful! I don’t think it’ll work as well for my needs at the moment (at work) but I’ll give it a go
What do you do at your job? As long as you don’t work at an assembly belt in a factory, you will still probably get benefits out of it.
Examples:
Mainly data entry. I’m writing bullet form (pro for Logseq) justifications that the QA uses to understand my ratings (the data entry aspect). I will occasionally work on the same task so I open up the original note and just add to it.
I know that I could use Logseq to link -
[[link]]
- the different task projects together (maybe). Something likeProject
->individual task
.My notes look like this currently:
I would then copy and paste all of that into a text box on our system (per task) where the QA can use that to understand my ratings of the task. My role title is Advanced AI Data Trainer, it sounds more impressive than it is. It’s glorified data entry.