#kundenbewertungen

Live, measured metrics for the hashtag #kundenbewertungen 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 #kundenbewertungen

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.

$5.00/ year · 17-character #name
Claim #kundenbewertungen — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0.4
Avg reactions / post
Mastodon · last 9
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-08 23:29 UTC
0
08-02
0
08-03
0
08-04
0
08-05
0
08-06
0
08-07
0
08-08

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 2026-08-08 23:29 UTC

No related tags with measured usage found for #kundenbewertungen.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-08 23:29 UTC

Everything below is measured over the latest 9 public posts (spanning ~45745 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (9)

Avg boosts / post: 0.2

Top of the latest posts

  • Ahoi Mastodon-Gemeinde 👋 Ich habe mein privates Projekt online gestellt: eine dezentrale, blockchain- und IPFS-basierte Kundenbewertungsplattform. https://dumango.com Alles noch frühe Beta und aktuell wirklich nur ein Hobbyprojekt von mir

    Der IT Nerd!@[email protected]♥ 4↻ 22026-01-31 08:34 UTCView post →

  • Samstag und Sonntag fallen #Rezensionen im Internet schlechter aus als sonst: zu diesem Ergebnis kommt eine Studie eines Teams um Prof. Dr. Florian Stahl, bei der 400 Millionen #Kundenbewertungen analysiert wurden. Am stärksten zeige sich d

    Universität Mannheim@unimannheim@bawü.social♥ 0↻ 02026-03-23 13:07 UTCView post →

  • #Amazon zeigt seit einiger Zeit die #KI-generierte Zusammenfassung der #Kundenbewertungen - habe nur ich da den Eindruck, dass es positive Bewertungen ausgiebiger darstellt als negative?

    poldemo@[email protected]♥ 0↻ 02025-11-07 08:29 UTCView post →

#kundenbewertungen across platforms

every network with a public tag surface

Follow #kundenbewertungen 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/kundenbewertungen