#podping
Live, measured metrics for the hashtag #podping from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #podping
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 05:34 UTC6 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 05:34 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 05:34 UTCEverything below is measured over the latest 40 public posts (spanning ~39133 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (38) · Spanish (1)
Avg boosts / post: 0.4
Top of the latest posts
Version 1 of my #podcast post generator is live, and was used to generate the post below! It reads the podcast’s rss feed, generates the #hugo front matter, fills in the bits for #Buzzsprout’s episode player, inserts the show notes’ html fr
@brianoflondon gotcha. I was misinterpreting what I observed you talking about doing as something better suited to automated monitoring or acceptance testing, but now better understand. I’m excited about what #Podping can do (and is doing)
Thanks @dave. I figure there’s no need for me to do things manually when I can let the robots do it. This will not only publish new posts, but will apply edits I’ve made to show notes and transcripts. I can do the work once on my #podcast h
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/podping