#SciML

Live, measured metrics for the hashtag #SciML 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 #sciml

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.

$1,129.43/ year · 5-character #name
Claim #sciml — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-30 08:22 UTC
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29
0
10-30

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.online (Mastodon public search API) · fetched 2026-10-30 08:22 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-30 08:22 UTC

Everything below is measured over the latest 40 public posts (spanning ~9265 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 1.7

Top of the latest posts

  • New blog post: How chaotic is chaos? How some AI for Science / SciML papers are overstating accuracy claims. https://www.stochasticlifestyle.com/how-chaotic-is-chaos-how-some-ai-for-science-sciml-papers-are-overstating-accuracy-claims/ #jul

    Dr. Chris Rackauckas :julia:@[email protected]♥ 5↻ 92025-05-26 14:43 UTCView post →
  • Our new manuscript shows how to extend automated model discovery and universal differential equations to chaotic systems in #neuroscience using a trick from control literature known as the Prediction Error Method (PEM)! https://arxiv.org/ab

    Dr. Chris Rackauckas :julia:@[email protected]♥ 1↻ 02025-07-09 10:30 UTCView post →
  • New blog post: Machine learning with hard constraints: Neural Differential-Algebraic Equations (DAEs) as a general formalism. https://www.stochasticlifestyle.com/machine-learning-with-hard-constraints-neural-differential-algebraic-equations

    Dr. Chris Rackauckas :julia:@[email protected]♥ 1↻ 02025-06-03 19:00 UTCView post →

#sciml across platforms

every network with a public tag surface

Follow #sciml 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/sciml