#apolloniancircles

Live, measured metrics for the hashtag #apolloniancircles 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
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
10
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-12 14:28 UTC
0
10-06
0
10-07
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12

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 2026-10-12 14:28 UTC

No related tags with measured usage found for #apolloniancircles.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-12 14:28 UTC

Everything below is measured over the latest 7 public posts (spanning ~716 hours).

Top of the latest posts

  • 2D circle inversion fractals on the spherical surface. This was a fun offshoot of my recent Apollonian endeavours, again using the Riemann sphere mapping to go from 3D to 2D for the iterations. The inversion circle centres come from a tetra

    Risto A. Paju@[email protected]♥ 48↻ 322025-09-13 14:02 UTCView post →
  • In the last post, I noted how the incremental iterates of the Apollonian gasket look like the output of an iterated function system. There's indeed such an IFS, and it's a system of circle inversions. It's how I've made a lot of fractal art

    Risto A. Paju@[email protected]♥ 14↻ 42025-09-12 12:25 UTCView post →
  • The Apollonian gasket is a bit peculiar as an iterated system. The Nth stage of circles isn't generated solely by generation N-1, but all of the preceding generations. Alternatively, one might say that each circle also regenerates itself fo

    Risto A. Paju@[email protected]♥ 4↻ 22025-09-10 18:42 UTCView post →

#apolloniancircles across platforms

every network with a public tag surface

Follow #apolloniancircles 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.

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/apolloniancircles