X traffic and monthly active users are in decline, report claims

I’m not shocked. I registered an account and used it heavily for years, but the last few were a death of a thousand cuts. I finally got around to deleting my account when they killed 3rd party apps: the thing it had become wasn’t worth suffering through their own abominable app.

It just wasn’t interesting to me anymore. I don’t think I’m alone in that.

Wonder what happens when this change rolls out globally...

https://www.bloomberg.com/news/articles/2023-10-18/x-to-test...

https://archive.ph/Qf2Yq

I'm no fan of the way X has gone but given the huge amount of negative press, the high profile departures, the guides to using alternatives, and the introduction of Threads. Losing just 17.8% (and less outside the US) isn't that bad!

Sometimes goal can be extracted from the outcome. Maybe Elon wanted to destroy Twitter. That is a win to humanity. He should acquire tiktok now.

I stopped clicking on twitter (yeah, X, whatever) links after they started requiring login to view tweets/threads. I have an old account I could use, but simply don't feel the need to bother. If they want to alienate readers, so be it.

Not surprising. The website is still limited for people without accounts, which pushes away users.

What is echonewshub? Is this a reputable source? Their Privacy Policy seems incomplete and the T&C pages seems to have been generated by GPT

Good. Hopefully this means less noise and more signal.

Twitter has enshittified^1 a lot since the acquisition (maybe even before?). It's been getting much worse for users and advertisers alike. I mostly see incendiary discussions and stuff that I don't care about nowadays, result of the "if you shell out $8 we'll boost your content". I find slow decay quite corresponding

1: https://en.m.wikipedia.org/wiki/Enshittification

Does anyone know of a second source to back this claim up? These numbers are "estimates ... based on machine learning algorithms using data from various websites and apps". We all know machine learning algorithms produce the outputs you train them to, and the nature of the company producing the data combined with current events gives me reason to pause before accepting it at face value.

That said, I haven't been able to find a good second opinion on this.