#nLab
Live, measured metrics for the hashtag #nLab from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nlab
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 2026-09-26 00:53 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 2026-09-26 00:53 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-26 00:53 UTCEverything below is measured over the latest 7 public posts (spanning ~27044 hours).
Posting hours (UTC)
Languages: English (7)
Avg boosts / post: 0.1
Top of the latest posts
beware! evil search box vs. good search box #categorytheory #math #nlab #ncatlab
I had a conversation recently where I was asked how I learned about a mathematical topic. I was a bit embarrassed to say that I just checked some very basic definitions on Wikipedia/nLab and then developed the concepts I needed from there m
presented without comment https://ncatlab.org/nlab/show/Ass #nLab #operads #realizability #LearnedHumour #CoolURIsDontChange
What “nlab” means
WikipediaThe nLab is a wiki for research-level notes, expositions and collaborative work. It includes original research in mathematics, physics, and philosophy with a focus on methods from type theory, category theory, and homotopy theory. The nLab espouses the "n-point of view", which is that type theory, homotopy theory, category theory, and higher category theory provide a useful, unifying viewpoint for mathematics, physics and philosophy.
“NLab” on Wikipedia (CC BY-SA) →#nlab across platforms
every network with a public tag surfaceFollow #nlab 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/nlab