#showtext

Live, measured metrics for the hashtag #showtext 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 #showtext

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.

$110.68/ year · 8-character #name
Claim #showtext$110.68/yr
Annual, renews each year
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one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
33
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 33
0.7
Avg reactions / post
Mastodon · last 33

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:37 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 05:37 UTC

No related tags with measured usage found for #showtext.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:37 UTC

Everything below is measured over the latest 33 public posts (spanning ~17957 hours).

Posting hours (UTC) — busiest: 03:00

00:0012:0023:00

Languages: English (33)

Avg boosts / post: 0

Top of the latest posts

  • Day 6 | Comparisons – Florence Nightingale (theme day) | #30DayChartChallenge. Visualization made with R using #tidyverse, #ggtext and #showtext. Data source: HDX - https://data.humdata.org/dataset/cod-ps-hnd.

    Hondunauta@klauswiese312025-04-06 03:04 UTCView post →
  • #Day17 | Relationships – Remake | #30DayChartChallenge | Are we making more or fewer remakes as the years go by?. Built with #RStats using #rvest, #dplyr, #stringr, #ggplot2 and #showtext.

    Hondunauta@klauswiese202026-04-18 01:43 UTCView post →
  • Día 11 | Distribuciones – “Stripes” | #30DayChartChallenge. La visualización fue creada usando R basado en los paquetes: #ggplot2, #dplyr, #sf, #lubridate, #ggtext, #showtext, #RcolorBrewer, #rnaturalearth y #cowplot. Fuente: CHIRPS.

    Hondunauta@klauswiese202025-04-11 14:54 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/showtext