#techwriting
Live, measured metrics for the hashtag #techwriting from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #techwriting
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 · mas.to (Mastodon public tags API) · fetched 2026-10-30 06:11 UTC0 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 2026-10-30 06:11 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-30 06:11 UTCEverything below is measured over the latest 40 public posts (spanning ~6172 hours).
Posting hours (UTC) — busiest: 22:00
Languages: English (37) · German (1) · Greek (1) · Korean (1)
Avg boosts / post: 0.9
Top of the latest posts
Great. This trend is now on Linkedin. Whatever. Unlike most people, I actually like my Linkedin feed as it’s very carefully curated. I only like and interact with people who post useful information about tech writing. Us techwriters are a p
I love #ObsidianMD. However, many enthusiasts in the space tend to create 20- to 30-minute tutorials. (Love you guys, but ain't got no time for that! ;P) I'm a visual learner, so videos are immensely valuable to me. However, I am not convin
RE: https://hachyderm.io/@liztai/116558964865160990 To elaborate more on the corporate writing thing - I was a little too glib in saying that it's the same for writers. Unlike engineers, our work doesn't "break" noticeably. (Though I'd say
#techwriting across platforms
every network with a public tag surfaceFollow #techwriting 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/techwriting