Do we have a graph showing the spike in users for PieFed.ca ? (piefed.co.za)

submitted 2 days ago* (last edited 2 days ago) by EkHouVanBraai@piefed.co.za to c/main@lemmy.ca

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I made this post today, https://www.reddit.com/r/BuyFromEU/comments/1quso40/comment/o3evucz/ It got 150k+ views, piefed.social etc. has seen a big spike in users.

If possible I want to copy-paste that recipe in r/BuyCanadian tomorrow to get more Canadians onboard here. But I need a nice image of a graph for the post to work.

Anyone know where I can get a graph like that? Admins?

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[-] EkHouVanBraai@piefed.co.za 2 points 17 hours ago

Is it possible to get that for total daily users?

[-] Shadow@lemmy.ca 3 points 17 hours ago

As in active users each day? I don't have that query written but if I remember I'll look in the next couple days

[-] EkHouVanBraai@piefed.co.za 2 points 12 hours ago

Yea these graphs won't really work for making a good reddit post.

If and when I can find one I'll make a post, which should hopefully add a few hundred more users here

[-] otter@piefed.ca 2 points 11 hours ago

Assuming I ran the queries correctly

Past 8 days:

Past 14 days:

Since launch:

[-] EkHouVanBraai@piefed.co.za 2 points 10 hours ago

Amazing thanks, only seeing this now. I've already made a post and it seems to be blowing up.

[-] cabbage@piefed.social 2 points 10 hours ago* (last edited 10 hours ago)

Here's the number of monthly active users, which might look more impressive to people who obsess over the Y axis:

It's not super pretty as I just threw it together and really should be doing other things. But it's colour matching the Canadian flag, which I hope is appreciated. :)

I guess a key takeaway is that the number of active users at Piefed.ca multiplied by more than five since late January.

mau <- c(109, 114, 114, 114, 120, 123, 370, 502, 569, 588, 602, 611, 613)  
Date <- as.Date(as.Date("2026-01-24"):as.Date("2026-02-05"))  
plot(Date, mau, type="l", ylab="Monthly active users", lwd="2", main="Monthly active users of piefed.ca",  
     col="#D80621", xaxs="i", ylim=c(0,613))  
grid()

this post was submitted on 03 Feb 2026

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