Why do we find microplastics in humans but not other common substances (e.g. steel, wool, etc.)? I’m not too familiar with why this is happening

I’ll definitely let you know. Thank you!

I appreciate the offer! I have localization features in my pipeline. I’ll let you know

Ideally! I’m working to make it scalable to integrate as many fediverse platforms as I can. I’d love to include Piefed

Hi, sorry for late follow up on this. I did a write up on the Quiblr “For You” feed here

That is the long term vision. This has been just a passion project that I work on the side. But keeping it all react native has made it easier for me to manage 1 app for web, iOS, and Android.

I didn’t want to rush out a native version though. I want it to really utilize native functionality

Recommendations are entirely, 100% on your device. There is no association between your account and the recs. So there is no transfer of data to or from your account. You can log in with your current Lemmy profile and the recs will work all the same!

The benefit of logging in is that you have more ways to interact on lemmy (so your recommendations will be more tailored)

Yeah, just 15 seconds and jot down a comment. Whenever I’m even hesitant, I just leave a comment. Doesn’t hurt anything and it can always be removed if not needed

Easier to remove later rather than add it after the fact

Math is everywhere!!

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” :)

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.

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)

Yup, 100% completely local to your device alone

All front-end.

And thanks for the feedback. Can you elaborate what you mean by “can’t find the real URL of anything”?

I