#dbixclass
Live, measured metrics for the hashtag #dbixclass from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #dbixclass
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-29 20:11 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-29 20:11 UTCNo related tags with measured usage found for #dbixclass.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-29 20:11 UTCEverything below is measured over the latest 18 public posts (spanning ~18400 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (18)
Avg boosts / post: 1.8
Top of the latest posts
I seldom release modules to #CPAN mainly because there’s so much great stuff there already. An answer on StackOverflow about pretty printing DBIx::Class result sets got me thinking. I then climbed onto the shoulders of several giants to cre
I’ve been learning #CSharp and #DotNet as part of a migration project at work, and got my boss’s blessing to share some of the insights and concept-mapping I’ve done so far: https://itsdaves.site/2025/11/28/perl-vs-c-vs-javascript/ If you’r
@peateasea Reading the article it looks like you need to create a PP object and then throw a resultset object at it. Have you considered extending it that one could load it as a plugin to their resultset (base) class and call a method on an
#dbixclass across platforms
every network with a public tag surfaceFollow #dbixclass straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/dbixclass