#espruino
Live, measured metrics for the hashtag #espruino from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #espruino
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-11 17:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-11 17:42 UTCNo related tags with measured usage found for #espruino.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-11 17:42 UTCEverything below is measured over the latest 29 public posts (spanning ~52059 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (20) · French (3) · German (3) · Russian (2)
Avg boosts / post: 0.2
Top of the latest posts
@debacle @joeycastillo it looks interesting. But I've got a Bandle.js 2 for a discount (at 80 €) at last FOSDEM, and I'm very happy with it : working very well, simple, good ecosystem and easy to hack. I'm not sure that the price difference
New watchface I'm working on for the #BangleJS 2 #espruino smartwatch. Read time outside in (14:12). It shows the date in the outermost ring when you press the button.
My FU to stalebots: from now on I’ll just let it close the issue, then open a new one which “might be” a duplicate of <closed issue #> the next time I run into it. Inspired by the good vibes from #Espruino, which just let #211¹ sit in the l
What “espruino” means
WikipediaEspruino is an open-source JavaScript interpreter for single-board microcontrollers. It is designed for devices with small amounts of RAM. Espruino implements a large amount of the ECMAScript ES5 spec with parts of the ES6 spec where it is useful in an embedded environment.
“Espruino” on Wikipedia (CC BY-SA) →#espruino across platforms
every network with a public tag surfaceFollow #espruino 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/espruino