#zdb

Live, measured metrics for the hashtag #zdb 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 #zdb

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.

$5,313.74/ year · 3-character #name
Claim #zdb — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
27
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 27
0.1
Avg reactions / post
Mastodon · last 27
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-29 11:56 UTC
0
10-23
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29

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

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-10-29 11:56 UTC
#Zdbice
0 uses · 0 accounts / 7d
#zdbt
0 uses · 0 accounts / 7d
#nsu201zdb
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-29 11:56 UTC

Everything below is measured over the latest 27 public posts (spanning ~34053 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: German (25) · English (2)

Avg boosts / post: 2.7

Top of the latest posts

  • crossposting aus metadaten.community mit einer Detailfrage zu den cql-Indizes der #ZDB: was hat es mit "bbi" (Bestandsbesitzende Institution) auf sich und wie wir das verwendet? Weiß da wer Näheres? (vgl. https://metadaten.community/t/zdb-a

    Alexander Winkler@[email protected]♥ 1↻ 22026-10-13 07:16 UTCView post →

  • Aktuell 6917 Zeitungen der #zeitschriftenbank #zdb (https://zeitschriftendatenbank.de) haben den Vermerk "Digitalisierung geplant", 461 mit Erscheinungsort 'Berlin'. Da gibt es also noch einiges zu tun ... Die Analyse ist leider etwas hakel

    Alexander Winkler@[email protected]♥ 1↻ 22026-09-18 08:35 UTCView post →

  • Ich durfte neulich an der FU Berlin einen kurzen Input zur Datenbereitstellung in Bibliotheken geben. Die Folien gibt's hier: https://doi.org/10.5281/zenodo.23387645 Als Beiwerk gibt es 3 Jupyter-Notebooks: Eins zur Interaktion mit der #DSp

    Alexander Winkler@[email protected]♥ 0↻ 32026-10-19 19:26 UTCView post →

#zdb across platforms

every network with a public tag surface

Follow #zdb 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/zdb