#arks
Live, measured metrics for the hashtag #arks from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #arks
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 2026-07-30 19:41 UTC0 uses by 0 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 2026-07-30 19:41 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 19:41 UTCEverything below is measured over the latest 8 public posts (spanning ~29476 hours).
Posting hours (UTC)
Languages: English (7) · German (1)
Avg boosts / post: 4.4
Top of the latest posts
The summary of our workshop lead by @cthoyt and Ben Gyori at #biocuration2025 is now live at https://biopragmatics.github.io/workshops/biocuration2025.html 📖 Slides: https://doi.org/10.5281/zenodo.15184414 📺 Recording: https://www.youtube
There are many reasons to prefer #ARKs to #DOIs. But until now I hadn't seen a systematic case for them combined with good implementation detail. Recommended, esp to those unfamiliar with ARKs. https://publications.drdo.gov.in/ojs/index.php
I re-implemented the Name-to-Things (N2T) ARK resolver using the `curies` Python package and wrote an explanation of how I did it here: https://cthoyt.com/2023/04/11/n2t-ark-resolver.html Code available here: https://github.com/cthoyt/n2t-a
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/arks