#dagstuhlrse

Live, measured metrics for the hashtag #dagstuhlrse 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 #dagstuhlrse

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.

$10.85/ year · 11-character #name
Claim #dagstuhlrse — $10.85/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
12
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 12
0.3
Avg reactions / post
Mastodon · last 12
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-20 14:37 UTC
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18
0
10-19
0
10-20

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 2026-10-20 14:37 UTC

No related tags with measured usage found for #dagstuhlrse.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-20 14:37 UTC

Everything below is measured over the latest 12 public posts (spanning ~209 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (7) · German (5)

Avg boosts / post: 2.8

Top of the latest posts

  • The other question I would ask participants in #DagstuhlRSE is, "What should be in a two-day Carpentries-style workshop on managing research software projects?" If you're comfortable with Git, Docker, SciPy, etc., and now find yourself with

    Greg Wilson@[email protected]♥ 2↻ 42024-04-18 21:36 UTCView post →

  • New preprint: "Toward Research Software Categories" with W Hasselbring, @jbernoth, P Betker, M Felderer, @sferenz, @al_lamprecht, @jlinx, B Rumpe Multi-dimensional categories can help us understand #ResearchSoftware better w.r.t. e.g. requi

    Stephan Druskat@[email protected]♥ 1↻ 42024-04-23 08:20 UTCView post →

  • Our weeklong #Dagstuhl seminar called "Research Software Engineering #RSEng: Bridging Knowledge Gaps" #DagstuhlRSE (https://www.dagstuhl.de/24161) is now wrapping up We brought together research software engineers (#RSE) and software engine

    Daniel S. Katz@[email protected]♥ 1↻ 82024-04-19 09:45 UTCView post →

#dagstuhlrse across platforms

every network with a public tag surface

Follow #dagstuhlrse 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/dagstuhlrse