#automating

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

hashtag.org network · sponsored

Own #automating

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.

$23.52/ year · 10-character #name
Claim #automating — $23.52/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
38
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 38
0.1
Avg reactions / post
Mastodon · last 38

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 12:37 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 12:37 UTC
#automatingmylife
0 uses · 0 accounts / 7d
#automatingecocide
0 uses · 0 accounts / 7d
#automatingjobs
0 uses · 0 accounts / 7d
#automatinghermitage
0 uses · 0 accounts / 7d
#automatinginequality
0 uses · 0 accounts / 7d
#automatingosint
0 uses · 0 accounts / 7d
#automatingnyc
0 uses · 0 accounts / 7d
#AutomatingInquiry
0 uses · 0 accounts / 7d
#automatingvolume2
0 uses · 0 accounts / 7d
#automatingthelivingshitoutofeverythingwithgitops
0 uses · 0 accounts / 7d
#AutomatingTheWeb
0 uses · 0 accounts / 7d
#automatingbias
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 12:37 UTC

Everything below is measured over the latest 38 public posts (spanning ~72093 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (36) · German (1) · Japanese (1)

Avg boosts / post: 0.6

Top of the latest posts

  • I love automating (boring) things. And Python has such deep support for it. - creating PDF invoices for jobs (using jinja2, YAML and LaTeX templates) - creating boilerplate for new projects and documentation (cookiecutter, spinxdoc, LaTeX)

    Guy@[email protected]♥ 2↻ 02023-10-06 01:28 UTCView post →

  • I am a #Lecturer (Assistant Prof) in #ML at the University of #Edinburgh. I research how #deep #probabilistic #models can be #reliable and can do #complex #reasoning with #guarantees in the real world and with #constraints. Will toot about

    antonio vergari@[email protected]♥ 1↻ 142022-11-06 08:58 UTCView post →

  • Our next #JCON2026 session is live: 'Lights, Camera, #GitHub Actions!' with Andres Almiray It's been said that #automating oneself out of a job is one of the best qualities of a #software engineer. When it comes to building and releasing so

    JCON@[email protected]♥ 0↻ 12026-06-30 17:35 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/automating