#LanguageEngineering

Live, measured metrics for the hashtag #LanguageEngineering from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0.3
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:59 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 2026-07-27 05:59 UTC

No related tags with measured usage found for #languageengineering.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:59 UTC

Everything below is measured over the latest 4 public posts (spanning ~21151 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 6.8

Top of the latest posts

  • 📣 Exciting News! #Langium is taking a significant step forward by submitting a new project proposal at the Eclipse Foundation. Read our latest blog post to learn more about this open governance move. https://www.typefox.io/blog/open-govern

    Miro Spönemann@spoenemann122023-06-01 07:59 UTCView post →
  • Master thesis by Arthur de Groot: Memoising Scope Graph Query Resolution "In this thesis, we propose a memoised variant of the current state-of-the-art query resolution algorithm that memoises data encountered during graph traversal, reduci

    Programming Languages Delft@[email protected]012025-10-29 15:15 UTCView post →
  • 🎙️📢 I'll be at #OOPSLE giving the #invited #talk: Who will create the #languages of the future? (hint: probably not a team of language #engineers!) where I'll think out loud about WHO (and HOW) will define all the #good #languages we need

    Jordi Cabot@[email protected]002025-05-31 17:27 UTCView post →

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/languageengineering