#docs

Live, measured metrics for the hashtag #docs 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 #docs

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.

$2,449.80/ year · 4-character #name
Claim #docs — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
10
Uses / 7 days
Mastodon
7
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0.1/hr
Recent pace
Mastodon · last 40
1.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-09-12 11:41 UTC
1
09-06
0
09-07
2
09-08
3
09-09
1
09-10
2
09-11
1
09-12

10 uses by 7 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 2026-09-12 11:41 UTC
#docs_live
1 uses · 1 accounts / 7d
#docs_as_code
1 uses · 1 accounts / 7d
#docsascode
0 uses · 0 accounts / 7d
#docsify
1 uses · 1 accounts / 7d
#docsend
0 uses · 0 accounts / 7d
#docslive
0 uses · 0 accounts / 7d
#docseverinsen
0 uses · 0 accounts / 7d
#dDOCs
1 uses · 1 accounts / 7d
#AskDocs
0 uses · 0 accounts / 7d
#docsabtantiblack
0 uses · 0 accounts / 7d
#docssurantiracisme
0 uses · 0 accounts / 7d
#docssurantinoir
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-12 11:41 UTC

Everything below is measured over the latest 40 public posts (spanning ~518 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (38) · German (2)

Avg boosts / post: 1.9

Top of the latest posts

  • The Python (3.16) docs now have a page detailing the time complexity of operations on built-in types: https://docs.python.org/3.16/library/time-complexity.html Thanks to everyone who helped review and improve it. Hope it saves you some time

    Stan 🐍@[email protected]♥ 47↻ 532026-08-24 21:10 UTCView post →

  • I don't mind popularization of Markdown. At least it makes it easier to process content programmatically. #markdown is #everywhere #documentation #docs #api #md

    dusoft@dusoft♥ 1↻ 62026-09-01 10:30 UTCView post →

  • 📢 New #updates · 12 Sept #8 · windmill v1.811.0 — Snowflake OAuth now works universally · Rybbit v2.9.0 — Added timeline annotations, saved segments, and a revamped date selector · arize-phoenix arize-phoenix-v20.11.0 — Added GraphQL mutat

    selfhost.directory@[email protected]♥ 0↻ 02026-09-12 08:46 UTCView post →

What “docs” means

Wiktionary

docs

  • nounA doctor.
  • noun(usually in the plural) A document, especially (in professional jargon) a piece of technical documentation or legal evidence.
Full entry on Wiktionary →

#docs across platforms

every network with a public tag surface

Follow #docs 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/docs