#docslikecode
Live, measured metrics for the hashtag #docslikecode from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #docslikecode
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 22:22 UTC1 uses by 1 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 2026-07-27 22:22 UTCNo related tags with measured usage found for #docslikecode.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 22:22 UTCEverything below is measured over the latest 4 public posts (spanning ~24870 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 0
Top of the latest posts
Writing a lot of content in #ASCIIDOC and discovered #livejs to hot load my edits for preview. Just add the script to your docinfo file when building on desktop (using fswatch to detect changes and do the rebuild on edit save). Changes get
"Are we heading toward an AI utopia, an AI dystopia… or something in between? In this episode of Technical Writing Uncensored, I sit down with technical writer and blogger Fabrizio Ferri-Benedetti to talk about how AI and LLMs are changing
Pleased to say that I've had a tutorial proposal accepted on how to integrate the Vale Text Linter into your Docs-As-Code technical writing project. "Upgrade your Docs-As-Code Foo with the Vale Text Linter" Hope to see you in Adelaide in Ja
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/docslikecode