#linkedart

Live, measured metrics for the hashtag #linkedart from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #linkedart

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.

$51.02/ year · 9-character #name
Claim #linkedart — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
3.5
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-18 03:34 UTC
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-18 03:34 UTC

No related tags with measured usage found for #linkedart.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-18 03:34 UTC

Everything below is measured over the latest 40 public posts (spanning ~32454 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (36) · French (2) · Portuguese (1) · Dutch (1)

Avg boosts / post: 8.1

Top of the latest posts

  • I am thrilled to share that I successfully defended my PhD, Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability, at the University of Basel yesterday! 🎉 The presentation is avail

    Julien A. Raemy@julsraemy@hcommons.social♥ 126↻ 622024-11-19 05:34 UTCView post →

  • I am really interested in the linked.art initiative, but I’m finding it hard to wrap my head around it. What strikes me as particularly odd: * The types-of-types pattern, which creates JSON structures that are very unlike usual JSON propert

    Frederik Elwert@felwert@fedihum.org♥ 6↻ 112025-11-20 13:22 UTCView post →

  • @acka47 @ink In case, I have written an "extended transcript" or a short paper of my upcoming presentation, available here: https://doi.org/10.48620/92261 #LinkedData #swib25 #iiif #linkedart

    Julien A. Raemy@julsraemy@hcommons.social♥ 1↻ 52025-11-12 13:47 UTCView post →

#linkedart across platforms

every network with a public tag surface

Follow #linkedart 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/linkedart