#empiricalSE
Live, measured metrics for the hashtag #empiricalSE from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #empiricalse
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 2026-07-29 20:10 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 2026-07-29 20:10 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 20:10 UTCEverything below is measured over the latest 5 public posts (spanning ~21555 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 1.4
Top of the latest posts
A re- #introduction in this new instance: I am an assistant professor at the Department of Computer Science and Operations Research of the Université de Montréal https://michalis.famelis.info/ I work to create formal but practical technique
📢 Call for Registered Reports Are you tackling bold empirical research questions in software maintenance and evolution? Submit a Registered Report to ICSME 2025 and get feedback before you collect or analyze data. ✅ Rigorous review of your
🚀 Starting the new year on a high note! 🎉 Our paper "Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study" has been accepted at #ICSE-SEIS2025! We analyze 168 ML projects to uncover ho
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/empiricalse