#vectormath

Live, measured metrics for the hashtag #vectormath 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 #vectormath

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 #vectormath$23.52/yr
Annual, renews each year
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
25
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 25
0.1
Avg reactions / post
Mastodon · last 25

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 04:22 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 04:22 UTC

No related tags with measured usage found for #vectormath.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 04:22 UTC

Everything below is measured over the latest 25 public posts (spanning ~30419 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (25)

Avg boosts / post: 0.7

Top of the latest posts

  • #100DaysOfCode day 13: A bit to much beer and a little late to sleep last night, so not much done today, but I did continue with some #vectorMath and #NatureOfCode, today it was multiplication. #Javascript #CreativeCode #GenerativeArt #Math

    Michael Houmann@[email protected]212025-04-20 13:06 UTCView post →
  • Alright, future engineers! **Dot Product:** A scalar product measuring how much two vectors point in the same direction. Ex: `u . v = u1v1 + u2v2 + ...` Pro-Tip: If `u . v = 0`, the vectors are orthogonal (perpendicular)! #LinearAlgebra #Ve

    kipriyanovich@[email protected]012026-07-18 10:17 UTCView post →
  • Alright, future engineers! **Dot Product:** A scalar value measuring how much two vectors align. Ex: For `v=[1,2]`, `w=[3,4]`, `v.w = 1*3 + 2*4 = 11`. Pro-Tip: If `v.w = 0`, the vectors are orthogonal (perpendicular)! #LinearAlgebra #Vector

    kipriyanovich@[email protected]012026-07-16 05:40 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/vectormath