#spellchecking
Live, measured metrics for the hashtag #spellchecking from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #spellchecking
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 2026-10-21 09:26 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 2026-10-21 09:26 UTCNo related tags with measured usage found for #spellchecking.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-21 09:26 UTCEverything below is measured over the latest 13 public posts (spanning ~36930 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (13)
Avg boosts / post: 1.2
Top of the latest posts
"[Helix] Spellchecking in Git commits with Harper" https://blog.skyplabs.net/posts/helix-git-commit/ "Unlike Vim, Helix doesn't include a spell checker natively. However, Helix has built-in support for LSP, which makes it easy to pair it wi
<sigh> #microsoft #outlook #mac _finally_ adds an option to turn of #spellchecking, but only while typing: deliberately mipsled wrods are still underlined in red. Distracting, impossible to use. Back to #legacy.
It is always a pain for me to find the anti-#spellchecking option in every new software I am trying out.
What “spellchecking” means
Wiktionary · Wikipediaspellchecking
- verbTo check that words in written text are properly spelled.
In software, a spell checker is a software feature that checks for misspellings in a text. Spell-checking features are often embedded in software or services, such as a word processor, email client, electronic dictionary, or search engine.
“Spell checker” on Wikipedia (CC BY-SA) →#spellchecking across platforms
every network with a public tag surfaceFollow #spellchecking 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/spellchecking