#physics4ml

Live, measured metrics for the hashtag #physics4ml 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 #physics4ml

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 #physics4ml — $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
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-14 06:53 UTC
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-11-14 06:53 UTC

No related tags with measured usage found for #physics4ml.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-14 06:53 UTC

Everything below is measured over the latest 2 public posts (spanning ~470 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 4.5

Top of the latest posts

  • Our #ICLR2023 workshop on Physics4ML is open for submissions. Deadline: 3rd February. Submit your work on physics-based ML, equivariance, etc here: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML More info: https://physics4

    Elise van der Pol@elisevanderpol@sigmoid.social♥ 0↻ 32023-01-05 09:14 UTCView post →

  • We're organising a workshop on Physics for ML at #ICLR2023. Submit your work on physics-based ML, equivariance, etc. Site: https://physics4ml.github.io OpenReview: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML Deadline 3r

    Elise van der Pol@elisevanderpol@sigmoid.social♥ 0↻ 62022-12-16 19:14 UTCView post →

#physics4ml across platforms

every network with a public tag surface

Follow #physics4ml 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/physics4ml