@Aurelius@lemmy.world
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Aurelius

@Aurelius@lemmy.world

Making the fediverse accessible to all with Quiblr!

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Aurelius,
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It does not. I haven’t used matrix yet. What are matrix rooms used for?

Aurelius,
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The recommendation engine doesn’t require users to log in. You would still need to log in to vote, post, comment, etc

Aurelius, (edited )
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Valid. I finished the functionality of the For You feed and wanted to share before wrapping up all the formatting styles for the posts. Should be fixed here in a few hours.

Also, I’ll see if there is a better way to dynamically load comments. Thanks for the feedback!

Edit: Other post formats are now available on the For You feed

Aurelius,
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Notes! I’ll aim to add it to the next release. Thanks

Aurelius,
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Thank you so much! And I just made a note on the voting arrow order. I like the idea of making that an option in settings

And I can look into collapsing parent comments too. As you pointed out, I made it so just child comments collapse. The idea to collapse the parent comment never occurred to me lol

I’ll see if I can work both of these features into the next release.

Aurelius,
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Thanks! I work on Quiblr in my free time as a side project. I’ve never managed an open source project on my own, but I’m working with a buddy who has experience managing open source projects. I’ll let you know!

Aurelius,
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Quiblr is a frontend, so you are not bogging down my system :) It is designed to run on whichever Instance you use

Aurelius,
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No I do not lol do I have a doppelgänger?

Aurelius,
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I appreciate it! And there is a Feedback form in the sidebar

Aurelius,
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I used lemmy.world as the default for non-technical users or for folks who can’t decide. Users can still select different instances. Maybe it could make sense to default sign ups to a list of popular instances

Aurelius,
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I added an overview under Settings >> For You >> learn more

To go into a bit more detail:

It took me a while to craft the solution to make sure it was both effective + private. I was originally inspired by Canopy. They built a news aggregator with private & personalized posts a few years back and the idea sat in my head.

My approach was to do thorough research on the different signals used by big tech to make their recommendation engines, and just build ones that 1.) were possible given fediverse API limitations and 2.) private. I had to craft some novel approaches to make it work but I’m pretty happy with the outcome!

One of the biggest differences between the “big tech” approach and Quiblr’s is that most big tech does not keep data simply on your device. They store it in datacenters to build large social-webs to essentially cluster users (and push more relevant ads).

But I was able utilize many of the other signals used by big tech (e.g. communities you engage with, metadata of content you read, dwell time, post/comment/vote activity) and I designed it to work offline with no servers.

Aurelius,
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I try to build solutions that can be the best of both worlds! The functionality that users expect + prioiritizing privacy

Aurelius,
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I appreciate it! I try to update regularly when I’ve got time

Aurelius, (edited )
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I was thinking about Loops earlier today. I’d love to implement Quiblr’s For You recommendation algorithm for Loops and see how it performs. I haven’t joined the beta though so not sure how baked it is yet

Aurelius, (edited )
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That is an effect of the dynamic sizing (adjusting the style for different screen dimensions) + it may be because the items are in a flatlist. I will add a dynamic image size setting option tonight to allow users to show the full image ratio rather than a standardized image size.

Edit: dynamic image size setting is now live

Aurelius,
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Let me know if you have any feedback!

Aurelius,
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I use Kofi for donations (button in the top bar). I build and pay for everything myself so support is appreciated!

Aurelius,
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No. Posts are not downloaded and Quiblr is purely a frontend (you can choose which instance you want to use). The algorithm basically crafts the relevant API calls to populate the For You feed with content that matches your usage preferences. Those preferences and metadata are all stored on your device

Aurelius,
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I see what you mean. To clarify, Quiblr as a platform is also 100% private. It doesn’t even use Google Analytics. The only data that I collect is anything submitted via the Feedback form + Umami for analytics .

Aurelius, (edited )
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Gotcha. That should be an easy addition. I’ll see if I can push an update tonight!

Edit: I noted this in a separate comment, but I added the instance info to the communities page + the original post url to the Post Details page (via the 3 dot ellipses)

Aurelius,
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Quiblr is purely a frontend. It creates a standardized experience across Instances (including the feed personalization). Im not super familiar with Kbin. If it uses the same API as Lemmy then it should work.

Long-term, I’d love to integrate more and more fediverse platforms into Quiblr

Aurelius,
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I appreciate the kind words. And yes, I included a mechanism to constantly refresh and clean up recommendations so that it doesn’t use too much memory

Aurelius,
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I pushed an update to Quiblr. I added the instance detail to the Communities page. Additionally, the vertical 3 dot ellipses on each post has an option called Post Detail >> I added the original post url here

Let me know if you have any additional feedback!

Aurelius,
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I appreciate all the kind words! You are correct that it is a frontend with recommendation engine built in. And the speed likely comes from being a progressive web app.

There are tradeoffs, but it definitely makes thinks “snappier” :)

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