#sprawltheory

Live, measured metrics for the hashtag #sprawltheory 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
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 18:29 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 18:29 UTC

No related tags with measured usage found for #sprawltheory.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 18:29 UTC

Everything below is measured over the latest 2 public posts (spanning ~3427 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0

Used together with

Top of the latest posts

  • I wonder if Conway's law would hold true if we stopped allowing teams and orgs to be the base "organization" structure that we use in GitHub, Issue Trackers, Access Policies, etc. We really should leverage a more general model where each pi

    Greg Swift@[email protected]002023-05-12 15:31 UTCView post →
  • A part of #SprawlTheory that I don't talk about on its own enough is the concept of defining your bucket. I typically gloss over this by saying things like "Every Thing is its own Thing" which is the most Sprawling implementation of #Sprawl

    Greg Swift@[email protected]002022-12-20 20:35 UTCView post →

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/sprawltheory