#modelchecking
Live, measured metrics for the hashtag #modelchecking from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modelchecking
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 2026-09-12 17:01 UTC0 uses by 0 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 2026-09-12 17:01 UTCNo related tags with measured usage found for #modelchecking.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-12 17:01 UTCEverything below is measured over the latest 30 public posts (spanning ~33047 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (28) · German (1)
Avg boosts / post: 1.2
Top of the latest posts
#Quint, a language built on top of #TLA+ to make formal specifications more accessible. https://quint.sh/ Crazy that #LLM coding will make formal verification mainstream in the next 2 - 3 years. #FormalVerification #TLAPlus #Testing #ModelC
While I really don't have much love for the Mistral products due to being way behind even cheap open weights Chinese models such as the Qwens, DeepSeeks etc of this world, this is an interesting (possibly new) approach: https://www.heise.de
I am listening to the @ttforall podcast with Jimmy Koppel on which parts of CS theory all software engineers should learn about (see also his blog post from 2021 on why programmers should(n't) learn theory). Now I'm curious to learn which p
What “modelchecking” means
WikipediaIn computer science, model checking or property checking is a method for checking whether a finite-state model of a system meets a given specification. This is typically associated with hardware or software systems, where the specification contains liveness requirements as well as safety requirements.
“Model checking” on Wikipedia (CC BY-SA) →#modelchecking across platforms
every network with a public tag surfaceFollow #modelchecking 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/modelchecking