lckdscl [they/them]

I self-identify as an nblob, a non-binary little object.

  • 2 Posts
  • 94 Comments
Joined 1 year ago
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Cake day: June 10th, 2023

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  • I didn’t have ads either but being able to use KoReader is a good enough motivation for me.

    • You can customize it a lot to your own liking and they do something clever with page changing that it seems a lot more responsive.
    • Another thing is I used to have to convert epubs to KFX to get nice hyphenation and good typography but on KoReader you seem to be able to customize all those typography things with whatever epub you throw at it.
    • Also, I have a local Calibre OPDS endpoint, you can add that in KoReader and download books over wirelessly. WiFi needs to be on when doing that but with a few tweaks you have read only root partiton so Kindle shouldn’t update.

    Overall there are a lot of steps to it, if you’re comfortable with your current setup it’s not worth the hassle/time.







  • Okay I think I might know what you mean? I just tried doing that and got it to work. We can compare what we did. Here’s mine.

    I created a shared folder called “Shared”

    then I create a group called “All” and mount the “Shared” folder to /shared

    I went to a user and add them to group “All”

    Examining that user’s files

    I can navigate into that shared folder and access everything (I have stuff in there already).




  • I think all the RAM related issues were closed a while back and were supposedly fixed. I just don’t understand why when interfacing with the front-end, it uses so much it would get OOM kill itself with 1.5 GB allocated memory.

    Every page, as well as loading in the initial dashboard from an idle state, spikes the RAM. Are there no clever lazyloading happening or something? Surely viewing and modifying database entries can’t be this memory intensive?

    Maybe it’s just an unoptimized Python thing. I stopped self-hosting stuff written in Python, with the exception of Linkding (which takes a while to also submit a link) and Whoogle.