#cris

Live, measured metrics for the hashtag #cris 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 #cris

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.

$2,449.80/ year · 4-character #name
Claim #cris — $2,449.80/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
0.1
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 2026-10-23 12:55 UTC
0
10-17
0
10-18
0
10-19
0
10-20
0
10-21
0
10-22
0
10-23

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 2026-10-23 12:55 UTC
#crisis
64 uses · 59 accounts / 7d
#crise
13 uses · 13 accounts / 7d
#cristianoronaldo
68 uses · 51 accounts / 7d
#crispr
8 uses · 8 accounts / 7d
#CrisCarter
0 uses · 0 accounts / 7d
#CrisCyborg
1 uses · 1 accounts / 7d
#CrisAndrade
0 uses · 0 accounts / 7d
#CrisBierrenbach
1 uses · 1 accounts / 7d
#CrisMonteiro
0 uses · 0 accounts / 7d
#crisi
12 uses · 11 accounts / 7d
#crisp
3 uses · 3 accounts / 7d
#crises
3 uses · 3 accounts / 7d

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-23 12:55 UTC

Everything below is measured over the latest 40 public posts (spanning ~14778 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: German (14) · French (13) · English (9) · Spanish (2) · Italian (1) · Galician (1)

Avg boosts / post: 1.3

Top of the latest posts

  • Der #KDSF hat sich in Deutschland zu einem zentralen Standard bei der Konzeption eines Forschungsinformationssystems entwickelt. Der Umstieg zu einem Basisdatenmodell mit der Version 2.0 unterstützt eine praxisnahe Umsetzung bereits sehr. T

    Yannick Paulsen@YPaulsen@openbiblio.social♥ 2↻ 12026-03-03 09:19 UTCView post →

  • How can we better link research outputs to the right organisations? At #OR2026, we will present how the @OpenAIREGraph and OpenOrgs support the disambiguation of organisational structures across CRIS systems and registries like ROR and PIC.

    OpenAIRE@OpenAIRE@mastodon.social♥ 1↻ 22026-06-02 06:42 UTCView post →

  • Die Folien meines gestrigen Vortrags "Umsetzung des KDSF 2.0 in DSpace-CRIS" sind nun veröffentlicht: https://doi.org/10.5281/zenodo.18960030 Das im Vortrag thematisierte Konzept gibt es hier: https://doi.org/10.5281/zenodo.18799711 Es ist

    Yannick Paulsen@YPaulsen@openbiblio.social♥ 1↻ 42026-03-11 14:03 UTCView post →

#cris across platforms

every network with a public tag surface

Follow #cris 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/cris