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Show HN: An extension to track your Wikipedia adventures

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Re: Show HN: An extension to track your Wikipedia adventures

#22
I'll mention that I made what could be described as a AI-generated Wikipedia alternative, where you can generate articles on anything with text links on terms that link to new articles that get generated considering the context of the the article path that got you there. I reckon Wiki-enthusiasts won't be disappointed: https://anylearn.ai

Re: Show HN: An extension to track your Wikipedia adventures

#23
I feel like there's a lot of knowledge or information that we're "leaving on the plate". For instance, the sites we visit, the files we edit, the branches and PRs we create, etc etc. All of that is related, but it feels like that context is being lost or discarded.

An example might be: I have to include new AWS resources in a deployment, so I look up information about them, find examples and read about potential problems, security information, etc etc. That then becomes edits in a terraform file somewhere, with a Jita ticket, my own knowledge database (Emacs org-roam files in my case, Obsidian etc for other people). Then the feature branch gets a PR to dev, we might discuss changes in Teams (ugh) or a meeting. All of that seems ripe to be linked together conceptually, but the computer has no way to do that.

It makes me wonder if that could be fed into the right machine learning thing to at least start tracking this sort of work stuff. Heck just synchronizing my Firefox bookmarks (ff lets you tag your bookmarks) with my org-roam instance's tags would be useful. Tagged files in my knowledge base could be automatically linked to similarly tagged bookmarks.

Re: Show HN: An extension to track your Wikipedia adventures

#24
post #18

That's cool. I do find it ironic though that wikipedia is one of the major sites with the least amount of user tracking, and then users decide to implement the tracking themselves.

That is funny, though this is more tracking-by-users than tracking-of-users

Re: Show HN: An extension to track your Wikipedia adventures

#25

Have you tried out a tangled-tree visualization? [1] I've found it to be super useful when visualizing these sorts of relationships in a compact way, and it naturally sorts the data topologically. [1] https://observablehq.com/@nitaku/tangled-tree-visualization-...

This looks really neat

Re: Show HN: An extension to track your Wikipedia adventures

#28

I feel like there's a lot of knowledge or information that we're "leaving on the plate". For instance, the sites we visit, the files we edit, the branches and PRs we create, etc etc. All of that is related, but it feels like that context is being lost or discarded. An example might be: I have to include new AWS resources in a deployment, so I look up information about them, find examples and read about potential prob…

I've had similar thoughts but over time you'd just end up with a private copy of the internet. You'll still have to search for the information anyway, so I'm not sure what the benefit is. Searching your knowledge base for "the thing I did yesterday" vs "how to sync Azure to AD" seems basically equivalent to me. You're just creating yet another thing to search.

Re: Show HN: An extension to track your Wikipedia adventures

#29

I feel like there's a lot of knowledge or information that we're "leaving on the plate". For instance, the sites we visit, the files we edit, the branches and PRs we create, etc etc. All of that is related, but it feels like that context is being lost or discarded. An example might be: I have to include new AWS resources in a deployment, so I look up information about them, find examples and read about potential prob…

[deleted]

Re: Show HN: An extension to track your Wikipedia adventures

#30

I feel like there's a lot of knowledge or information that we're "leaving on the plate". For instance, the sites we visit, the files we edit, the branches and PRs we create, etc etc. All of that is related, but it feels like that context is being lost or discarded. An example might be: I have to include new AWS resources in a deployment, so I look up information about them, find examples and read about potential prob…

Working on something like that, but there’s still a good amount of work to do
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