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16.02.2026 00:00
crowninestudio (@crowninestudio@mastodon.social)

Already have a #WordPress website? Perfect.

ChapterFLOW plugs right in. One click install. Works with your existing theme. No separate platform to manage.

Your author brand + your serial fiction = all in one place.

#ChapterFLOW #AuthorWebsite #IndieAuthor #SerialFiction #AuthorPlatform #WebNovel

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15.02.2026 23:26
tyrandus (@tyrandus@troet.cafe)

RE: https://stuve-bamberg.de/2025/11/20/barrieren-abbauen-in-der-sprache-und-in-der-verwaltung/

Lang überfällig: Alle neuen Blogartikel der Studierendenvertretung Bamberg werden jetzt auch im #Fediverse geteilt – #ActivityPub-Plugin für #WordPress sei Dank!

#stuve #stura #stupa #hopo

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15.02.2026 22:33
elettrona (@elettrona@poliversity.it)

A WordPress plugin is not a properly concrete way to be activists, I'm aware of this.

But I'm happy to have found the "cancer awareness plugin" being updated with HIV awareness symbol as well

https://wordpress.org/plugins/cancer-awareness-ribbon-shortcode/

#hiv #WordPress

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15.02.2026 18:03
matts-stuff (@matts-stuff@lordmatt.co.uk)

Exploring WebMention sources

Today, I took some time out of processing the loss of my dad to do some nerdy tech stuff with OpenMentions and WebMention sources.

I was interested in which sites sent the most mentions to the openmentions.com endpoints.

This is not especially important, but it could indicate who the most active and interested people are. For a writer, knowing you have people who are pleased to hear from you is pretty important, so I figure this might be an important tool for Author Buzz UK further down the line.

For OpenMentions this is a step towards a sort of thing Technorati used to be (for blogs). For now, I am avoiding the question of mentions to topic-specific sites outside of the OpenMentions blog. That’s a bigger question for another time.

As OpenMentions uses WordPress, step one was just getting an SQL query that gives back an ordered list of mention comments per domain name.

The first hurdle to overcome was to get just the domain names when that data is not stored. Fortunately, source URL is stored and with some substring magic, I was able to get the domains from it. My pride would love me to say I figured it all out on my own.

I did not.

I looked up the answer and found it on StackOverflow.

Next, I had to filter out a few things. Mostly things that mask origin by way of helping, or were a thing that Elon Musk owns, and I didn’t want any data for.

That took a bit of trial and error as I figured out what data I wanted to filter.

Sorry brid.gy, you were not good for this dataset, but you were a great proxy for filtering Bluesky content. So I am grateful for that.

My first version pulled from the comments table only, but the source of the mention did not always get recorded. So I “left joined” the comment meta and looked up the domain there.

The result was a gloriously hacky SQL command.

You can see the SQL here: https://gist.github.com/lordmatt/31f4f0b508b2dcf353c36ab23f907eea

The top 10 domain mentions sources from OpenMentions

lordmatt.co.uk
node.lordmatt.co.uk
openmentions.tumblr.com
replying.isbrill.com
matrixdreams.com
muse.authorbuzz.co.uk
tory-government.ispants.com
elons-twitter.ispants.com
doctorwho.isbrill.com
openmentions.com

No big surprises here. The biggest users are all things that I am involved with and could push the idea to most readily.

What’s next?

The next thing to do will be to use this data to generate some pages of interesting domain data. I’m not entirely sure what data I want to show or how I want to store it. That’s all yet to come.

What would you do with a list of websites with authors who like to respond to your stuff?

#IndieWeb #MySQL #Webmention #WordPress