#verzekeringsfraude

Live, measured metrics for the hashtag #verzekeringsfraude 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
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0
Avg reactions / post
Mastodon · last 6
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-02 17:48 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 · mas.to (Mastodon public search API) · fetched 2026-11-02 17:48 UTC

No related tags with measured usage found for #verzekeringsfraude.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-02 17:48 UTC

Everything below is measured over the latest 6 public posts (spanning ~23185 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Dutch (6)

Avg boosts / post: 0.2

Top of the latest posts

  • 𝗦𝘁𝗮𝗮𝘁 𝘃𝗲𝗿𝗹𝗶𝗲𝘀𝘁 𝗺𝗼𝗴𝗲𝗹𝗶𝗷𝗸 𝗵𝗼𝗻𝗱𝗲𝗿𝗱𝗲𝗻 𝗺𝗶𝗹𝗷𝗼𝗲𝗻𝗲𝗻 𝗲𝘂𝗿𝗼'𝘀 𝗱𝗼𝗼𝗿 𝘃𝗲𝗿𝘇𝗲𝗸𝗲𝗿𝗶𝗻𝗴𝘀𝗳𝗿𝗮𝘂𝗱𝗲 De Nederlandse overheid kan voor honderden miljoenen euro's het schip in gaan door fraude met expor

    RTL Nieuws@[email protected]♥ 0↻ 12026-08-26 11:53 UTCView post →

  • 𝗩𝗮𝗹𝘀𝗲 𝗳𝗮𝗰𝘁𝘂𝗿𝗲𝗻 𝗼𝗳 𝗻𝗲𝗽𝗳𝗼𝘁𝗼'𝘀 𝘃𝗮𝗻 𝘀𝗰𝗵𝗮𝗱𝗲: 𝘇𝗼 𝗴𝗲𝗯𝗿𝘂𝗶𝗸𝗲𝗻 𝗼𝗽𝗹𝗶𝗰𝗵𝘁𝗲𝗿𝘀 𝗔𝗜 𝗯𝗶𝗷 𝘃𝗲𝗿𝘇𝗲𝗸𝗲𝗿𝗶𝗻𝗴𝘀𝗳𝗿𝗮𝘂𝗱𝗲 Van AI-gegenereerde schadefoto's tot verzonnen facturen: verzekeraars krij

    RTL Nieuws@[email protected]♥ 0↻ 02025-11-20 17:27 UTCView post →

  • 𝗩𝗮𝗻 𝘁𝗲𝗹𝗲𝗳𝗼𝗼𝗻- 𝘁𝗼𝘁 𝘀𝘁𝗼𝗿𝗺𝘀𝗰𝗵𝗮𝗱𝗲: 𝘇𝗼 𝗹𝗶𝗲𝗽𝗲𝗻 𝘃𝗲𝗿𝘇𝗲𝗸𝗲𝗿𝗶𝗻𝗴𝘀𝗳𝗿𝗮𝘂𝗱𝗲𝘂𝗿𝘀 𝘁𝗲𝗴𝗲𝗻 𝗱𝗲 𝗹𝗮𝗺𝗽 Verzekeraars hebben vorig jaar meer fraudegevallen vastgesteld. Volgens cijfers van het Centrum Be

    RTL Nieuws@[email protected]♥ 0↻ 02025-11-20 09:27 UTCView post →

#verzekeringsfraude across platforms

every network with a public tag surface

Follow #verzekeringsfraude 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/verzekeringsfraude