#DavidKriesel

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0
Avg reactions / post
Mastodon · last 10
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-03 03:47 UTC
0
09-27
0
09-28
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03

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 2026-10-03 03:47 UTC

No related tags with measured usage found for #davidkriesel.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-03 03:47 UTC

Everything below is measured over the latest 10 public posts (spanning ~33023 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (7) · English (3)

Avg boosts / post: 0.5

Top of the latest posts

  • Ich möchte bitte lösen: Ja, tut sie. Wussten wir aber schon vor 5 Jahren: https://www.youtube.com/watch?v=0rb9CfOvojk Das heißt "Pofalla-Scheuer-Wende" #Bahn #DavidKriesel #Tagesschau

    PHASEONE[NeussWave414]@[email protected]♥ 0↻ 22025-09-19 19:18 UTCView post →

  • @JoernPaulini Das hat Struktur: https://m.youtube.com/watch?v=0rb9CfOvojk #Bahnmining #DavidKriesel

    Seebeutel@[email protected]♥ 0↻ 02024-09-30 19:04 UTCView post →

  • @TIB_AVPortal Meine "All-Time-Favourites": die datenanalytischen Vorträge vom Bonner Data Scientist #DavidKriesel u.a. auf den Chaos Computer Congressen des @CCC - fundiert, lehrreich und richtig unterhaltsam 👉 https://av.tib.eu/search?f=c

    Matti Stöhr@[email protected]♥ 0↻ 12024-04-23 08:07 UTCView post →

#davidkriesel across platforms

every network with a public tag surface

Follow #davidkriesel 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/davidkriesel