#flowmapper

Live, measured metrics for the hashtag #flowmapper 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 #flowmapper

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.

$23.52/ year · 10-character #name
Claim #flowmapper — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0.3
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-06 11:12 UTC
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04
0
11-05
0
11-06

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.social (Mastodon public search API) · fetched 2026-11-06 11:12 UTC

No related tags with measured usage found for #flowmapper.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-06 11:12 UTC

Everything below is measured over the latest 4 public posts (spanning ~22034 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3) · French (1)

Avg boosts / post: 2.5

Top of the latest posts

  • The session focused on using the Scholarly Migration Database (by @MPIDR, @Akbaritabar, @tomthe, @ezagheni see the DB here https://www.scholarlymigration.org/ ) and flow maps to visualise data (with #flowmapblue by Ilya Boyandin https://flo

    Egor Kotov 🌐🏃‍♂️🚊🚋🚙@[email protected]♥ 1↻ 12025-10-24 15:29 UTCView post →

  • 💻 One of the tutorials at @IC2S2 2025 in Norrköping is our tutorial on analyzing and visualizing large open human mobility data in Spain using R #rstats: https://www.ic2s2-2025.org/tutorials/ It will cover #spanishoddata (ropenspain.github

    Egor Kotov 🌐🏃‍♂️🚊🚋🚙@[email protected]♥ 0↻ 52025-03-07 11:06 UTCView post →

  • #30DayMapChallenge #aNewTool #rstats #spanishoddata ( https://ropenspain.github.io/spanishoddata/ ) meets #mapgl and #flowmapper to show differences between daily home-work-home trips and all other frequent and infrequent trips in Barcelona

    Egor Kotov 🌐🏃‍♂️🚊🚋🚙@[email protected]♥ 0↻ 42024-11-13 23:08 UTCView post →

#flowmapper across platforms

every network with a public tag surface

Follow #flowmapper 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/flowmapper