#docsascode

Live, measured metrics for the hashtag #docsascode 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 #docsascode

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 #docsascode — $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
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.3
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-09 10:18 UTC
0
11-03
0
11-04
0
11-05
0
11-06
0
11-07
0
11-08
0
11-09

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 2026-11-09 10:18 UTC

No related tags with measured usage found for #docsascode.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-09 10:18 UTC

Everything below is measured over the latest 40 public posts (spanning ~16082 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (15) · Russian (14) · Portuguese (8) · German (2)

Avg boosts / post: 0.4

Top of the latest posts

  • I've been testing #zensical since I will have to migrate off of #mkdocs and #mkdocsmaterial. Across 3 sites, I only had to change one line in the yaml files and run `zensical` instead of `mkdocs`. Total potential migration time for 3 sites,

    readbeanicecream@readbeanicecream@mastodon.social♥ 10↻ 42026-03-24 13:50 UTCView post →

  • Vom 10. – 12. November kann man mich auf der tekom-Jahrestagung treffen. Werde auch einen Vortrag über ein Migrationsprojekt halten („Wie gelingt eine Docs-as-Code-Kernsanierung – mühsam renovieren oder gleich alles abreißen?“). https://jah

    lothar@lothar@social.tchncs.de♥ 1↻ 02026-09-25 09:49 UTCView post →

  • От Word по почте до ИИ‑скиллов: обсудим эволюцию документации и зачем нейросетям бизнес‑контекст Мы прошли долгий путь от пересылки ТЗ в Word по электронной почте до автоматической генерации документации нейросетями прямо из Merge Request р

    Habr@habr@zhub.link♥ 0↻ 02026-10-29 12:02 UTCView post →

#docsascode across platforms

every network with a public tag surface

Follow #docsascode 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/docsascode