#texteditor
Live, measured metrics for the hashtag #texteditor from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #texteditor
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 2026-09-14 09:35 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 2026-09-14 09:35 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-14 09:35 UTCEverything below is measured over the latest 40 public posts (spanning ~2505 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (27) · German (4) · Polish (3) · French (2) · Romanian (1)
Avg boosts / post: 0.7
Top of the latest posts
Emacs just got a bunch of new "features" that only require a #PhD in keyboard shortcuts to activate. 🤓💻 Expect to spend more time configuring your text editor than actually writing anything. 📚✍️ https://karthinks.com/software/even-more-b
@vantablack #Emacs users I've been vim/nvim user for a long time. convience me to use Emacs instead. #gnu #linux #gpl #textEditor My main concerns are be pragmatic when I develop software, the speed to write code, and have tools to manage m
UTF-8 text editor: EmojiGear 5.1 EmojiGear is a UTF-8 Unicode text editor by @VictoriaFerryRetroGeek for AmigaOS 3.2 and AmigaOS 3.9 (as "MUImojiGear") that can display coloured emojis and anti-aliased fonts via a built-in FreeType 2 engine
What “texteditor” means
WikipediaA text editor is interactive software that allows a user to edit plain text, such as Notepad.
“Text editor” on Wikipedia (CC BY-SA) →#texteditor across platforms
every network with a public tag surfaceFollow #texteditor 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/texteditor