#wasserfallmodell

Live, measured metrics for the hashtag #wasserfallmodell 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
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-02 14:55 UTC
0
10-27
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02

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 2026-11-02 14:55 UTC

No related tags with measured usage found for #wasserfallmodell.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-02 14:55 UTC

Everything below is measured over the latest 3 public posts (spanning ~15071 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2) · German (1)

Avg boosts / post: 0

Top of the latest posts

  • #SoftwareArchitektur im #Stream Aufnahme verfügbar! Gibt es das #Wasserfallmodell überhaupt? https://software-architektur.tv/2022/05/13/folge119.html

    Eberhard Wolff@[email protected]♥ 0↻ 02022-05-16 07:36 UTCView post →

  • #SoftwareArchitektur im #Stream Aufnahme verfügbar! Gibt es das #Wasserfallmodell überhaupt? https://software-architektur.tv/2022/05/13/folge119.html

    Eberhard Wolff@[email protected]♥ 0↻ 02022-05-15 07:38 UTCView post →

  • Die Geschichte des Wasserfall-Modells ist weitgehend unbekannt – dabei zeigt sie die Herausforderungen des Modells und warum man es nicht nutzen sollte. Wasserfall-Modell? LOL! #AgileSoftwareentwicklung #wasserfallmodell

    heise online (inoffiziell)@[email protected]♥ 0↻ 02020-08-26 08:50 UTCView post →

#wasserfallmodell across platforms

every network with a public tag surface

Follow #wasserfallmodell 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/wasserfallmodell