#DifferentialCalculus

Live, measured metrics for the hashtag #DifferentialCalculus 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 #differentialcalculus

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.

$5.00/ year · 20-character #name
Claim #differentialcalculus — $5.00/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0.4
Avg reactions / post
Mastodon · last 11

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 14:00 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 14:00 UTC

No related tags with measured usage found for #differentialcalculus.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 14:00 UTC

Everything below is measured over the latest 11 public posts (spanning ~52399 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (11)

Avg boosts / post: 0.7

Top of the latest posts

  • The other day I had a fairly popular post talking about how mathematicians easily and often admit that they don't know things or don't understand things. Today at work a real-life example came up! Original post linked to in the next toot si

    Adrian Riskin :anarchoheart2:@[email protected]♥ 3↻ 12026-04-03 21:59 UTCView post →

  • Logistic regression may be used for classification. In order to preserve the convex nature for the loss function, a log-loss cost function has been designed for logistic regression. This cost function extremes at labels True and False. The

    Eric Maugendre about data@[email protected]♥ 1↻ 12025-08-19 09:51 UTCView post →

  • Differential Logic • 18 Tangent and Remainder Maps If we follow the classical line which singles out linear functions as ideals of simplicity then we may complete the analytic series of the proposition in the following way. The next venn di

    Inquiry Into Inquiry@[email protected]♥ 0↻ 12026-03-06 13:48 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/differentialcalculus