this post was submitted on 12 Oct 2024
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If you do find another source of data, please post it. Relying on a single source (like the Fediverse Observer) is problematic, I know.
You're conflating the sharp drops after the surges with the declining slopes.
The sharp drops (like MAU from 12/2022 to 02/2023) go as you said, they don't mean much. However, the declining slopes are relevant - they span across multiple months (up to ten), and show that Mastodon userbase has a consistent tendency to shrink.
We'll only know if it's an indication of a surge (sudden influx of new users), or growth (slow influx), or stability in the future. For now it's an isolated data point.
I'm saying that Mastodon is struggling. I did not say that Mastodon is doomed.
The difference is important here because a struggling network can be still saved, while a doomed one can't.
The slopes you meassure are still tied to the preceeding surges, so I can't treat them as any indication of success/failure.
To me it kinda looks like we are in the trough of disillusionment, which is a normal period of any new tech/system.
With improvements to the network we soon hit the slope of enlightenment.
Context for other users - the user above is likely referring to the Gartner cycle:
As anyone here can see, it looks nothing like that pattern that I've highlighted.
If the success condition for Mastodon is "to become a long-term viable and attractive alternative to corporate-owned microblogging", then improvements of the platform are necessary.
To be clear on my opinion in this matter: I want to see Mastodon to succeed, I want to see X and Threads closing down, and IDGAF about Bluesky. However I'm not too eager to engage in wishful belief and pretend that everything is fine - because acknowledging the problem is always the first step to solve it.
You are absolutely right that I am refering to the Gartner cycle.
It doesn't fit exactly, but the general pattern fit very well with the first half.
The Mastodon graph just happens to have two hype sections.
A model that explains well half of the data is as useful as a coin toss. But let's roll with it, and pretend that we got two superimposed Gartner cycles here.
The trough would be reached after a sharp drop after the peak, and based on the first peak it would be ~2 months long. That would explain only the period between 2023-07 and 2023-09; the rest of what I've pointed out in red is clearly something else, the nearest of what they look like would be a sick version of the "slope of enlightenment" - going down instead of up.
Yeah, the model doesn't work.
A better way to approach this is to consider three things:
Once you notice those things, it gets really easy to explain what's happening:
By analysing the data this way, not just we're describing it better, but we can also see where Mastodon needs to improve:
What I'm saying also partially applies to the "Fediverse link aggregators", like Lemmy. Lemmy does show some tendency to bleed users, but in smaller degree than Mastodon; but it's in a better position because there's only one big competitor, and it keeps fucking it up over and over.