#gxp

Live, measured metrics for the hashtag #gxp 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 #gxp

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.

$5,313.74/ year · 3-character #name
Claim #gxp$5,313.74/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
18
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 18
0.6
Avg reactions / post
Mastodon · last 18

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:18 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 12:18 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:18 UTC

Everything below is measured over the latest 18 public posts (spanning ~28004 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (11) · German (5)

Avg boosts / post: 0.7

Top of the latest posts

  • Validating entire R packages when you only use a handful of functions? There's a better way. Litmus detects exactly which functions your code depends on and validates only those. Targeted validation: faster, leaner, audit-ready. Built for p

    Jumping Rivers@jumpingrivers312026-05-07 11:17 UTCView post →
  • More pharma teams are moving to open source. R, Python, and Shiny offer flexible, reproducible environments that scale. The challenge is making that shift in a way that meets regulatory expectations and works in practice. That’s where we he

    Jumping Rivers@jumpingrivers332026-03-19 13:00 UTCView post →
  • Most teams are validating far more than they need to. Take an R package with 500 functions. The average team uses about 5. Most validation tools require you to check all 500. Every time. Litmus changes that. Validate only what you use. jump

    Jumping Rivers@jumpingrivers102026-06-16 11:02 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/gxp