#RDF4J

Live, measured metrics for the hashtag #RDF4J 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 #rdf4j

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.

$1,129.43/ year · 5-character #name
Claim #rdf4j — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0.1
Avg reactions / post
Mastodon · last 11
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-06 04:01 UTC
0
07-31
0
08-01
0
08-02
0
08-03
0
08-04
0
08-05
0
08-06

0 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 2026-08-06 04:01 UTC

No related tags with measured usage found for #rdf4j.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-06 04:01 UTC

Everything below is measured over the latest 11 public posts (spanning ~19133 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (10) · German (1)

Avg boosts / post: 0.8

Top of the latest posts

  • I thought I'd do the intro post with tags thing - you know, for findability. In no particular order and quite likely quite incomplete: #RDF4J #sparql #knowledgegraphs #doommetal #CultureFirst #ruby #wellington #scifi #lego #craftbeer #Eclip

    Jeen@[email protected]♥ 1↻ 12022-11-08 07:06 UTCView post →

  • Gute Nachrichten für Freunde der semantischen Datenspeicherung! Im Projekt "Sammlungen, Objekte, Datenkompetenzen" (@SODa) entwickeln wir einen Semantic Co-Working Space (mehr dazu auf diesem Poster: https://doi.org/10.5281/zenodo.14627710)

    Robert Nasarek@[email protected]♥ 0↻ 42025-01-13 11:48 UTCView post →

  • @msgilligan using it to change from a pull (volcano) style database query evaluation to a push based one inside the #rdf4j query engine.

    Jerven@[email protected]♥ 0↻ 02023-08-01 21:09 UTCView post →

#rdf4j across platforms

every network with a public tag surface

Follow #rdf4j 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/rdf4j