District 9

Ah yes! I almost do that already. With RSS as well. So you can combine communities and RSS Feeds, not mastodon users yet though. It’s kind of fun standardizing all the different ActivityPub implementations into a single data model. Mastodon timelines or users are essentially whole communities.

To be honest, building a web-version of that pipeline as a NPM package might be helpful for others, piping in all the different types of fediverse content into a single stream.

I’ve had an idea, that I could easily pivot to this and become a FOSS solution. But, I wonder if it actually solves a problem. Essentially, I wanted my lemmy instance to allow sign-ups. But, the posts and channels were auto-generated. So when you log into the app or sign-up it creates a community in the instance along with it. (loom.nyc/c/pexavc) and then all the posts are automatically generated from the posts you save anywhere in the fediverse. (The app supports lemmy and mastodon for now). But, this would also allow all your bookmarks to essentially “federate”.

Edit: Tbh, it sounds like a more “silent” cross-posting

Removed the other comment.

Because I think I get the point now. I actually never heard of these services before. And didn’t realize people liked to share their “saves/bookmarks”. Or have people actively follow what they are bookmarking.

It’s super interesting.

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StarCraft 2

Mostly for building in-game awareness. Helped in a lot of games, even FPSs. Just always being proactive when facing some kind of meta.

I’ve been attempting to build systems to make this “robustness” redundant across all my works, but I always feel there’s something more that I missed. I can’t tell if this task is simply never-ending or I just lack the knowledge of covering all the dots from the get-go or both.

When it comes to iOS, Here’s a cool guide for reverse engineering .ipas. https://github.com/ivRodriguezCA/RE-iOS-Apps . I would think applying a sort of comparison of the static analysis with a published app against the compiled repos version would be a possible first step

how is that possible, clouds are even harder to dodge

Actually am looking at this exact thing. Compiling them into an open source package to use on Swift. Just finished nsfw. But everything you mentioned should be in a “ModerationKit” as well. Allowing users to toggle based on their needs.

Yeah. Have been thinking of this exact scenario. How to create solutions around anything that might “filter” while respecting the worldviews of all. I feel the best approach so far, is if filters are to be implemented. It should never be a 1 all be all and should always be “a toggle”. Ultimately respecting the user’s freedom of choice while providing the best quality equipment to utilize effectively when needed

oh i see, just saw your other comment as well

good point, but was just providing samples. I myself would gladly create a simple package for inferencing using a properly licensed model file.

Edit: Linked a MIT keras model for instance, also thanks for the tip didn’t know about GPL / BSD relationship

Typora is really cool, wish it was OS though. Although the one-time purchase isn’t too bad

yeah VS code with extensions is pretty good enough to be honest. I keep forgetting VSCode has a whole in-depth world of plugins.

Yeah, have been using text editor mainly for markdown editing or other lightweight WYSIWYG apps, it’s good enough. Felt, there could be more out there that I am missing out on which I am unaware of.

Haven’t thought of this yet, thanks

Essentially what I was thinking,

Is an IDE like environment just for markdown file management and WYSIWYG editing experience

Updated the comment with an example.

maybe adding shields/badges/assets within automatically, through a GUI or being able to create a directory like structure by generating new MD files when wanting to create a comprehensive API doc.

I do not clearly know as well and wanted to just get an understanding of what everyone uses and be aware at least that such software exists if they use something with more advanced features over a natural text editing environment