#sciexplorer

Live, measured metrics for the hashtag #sciexplorer 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 #sciexplorer

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.

$10.85/ year · 11-character #name
Claim #sciexplorer$10.85/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
1
Avg reactions / post
Mastodon · last 3
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-16 13:12 UTC
0
08-10
0
08-11
0
08-12
0
08-13
0
08-14
0
08-15
0
08-16

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 2026-08-16 13:12 UTC

No related tags with measured usage found for #sciexplorer.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-16 13:12 UTC

Everything below is measured over the latest 3 public posts (spanning ~6843 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 2.3

Top of the latest posts

  • Scientific discovery relies on a cycle of observations, analysis, and coming up with new hypotheses. Can a computer mimic that cycle and explore an unknown system in this way? We introduce #SciExplorer, which for the first time employs agen

    Florian Marquardt@[email protected]242025-10-03 11:17 UTCView post →
  • Our #SciExplorer article is now out ! This #AI agent can explore physical systems from scratch, generating hypotheses, running (numerical) experiments and eventually converging on a model. We tested it on several domains, including mechanic

    Florian Marquardt@[email protected]132026-07-15 14:41 UTCView post →
  • @ThreeSigma Any large language model has built-in priors, since it has been trained essentially on the whole internet. The point here is that this suffices to be pretty good in exploring physical systems, e.g. observing trajectories, conjec

    Florian Marquardt@[email protected]002025-10-03 12:14 UTCView post →

#sciexplorer across platforms

every network with a public tag surface

Follow #sciexplorer 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/sciexplorer