#readr
Live, measured metrics for the hashtag #readr from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #readr
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 19:13 UTC0 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 2026-07-28 19:13 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 19:13 UTCEverything below is measured over the latest 7 public posts (spanning ~52151 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 0.9
Top of the latest posts
I just learned that #rstats #readr write_csv() returns the data invisibly so you can just insert them within a pipe for a snapshot-then-plot functionality... I always imported magrittr %T>% before but it seems I don't need to use it at all
Yumechi | ゆめち :ferris: :haskell: :role_nyanpuppu2:@[email protected]♥ 3↻ 22024-11-14 12:23 UTCView post →#Día20 | Series de Tiempo – Cambio Global | #30DayChartChallenge | Anomalía anual de temperatura superficial global respecto al promedio 1951–1980. Creada usando #Rstats con #ggplot2, #dplyr, #readr, #scales y #ggtext.
#Día4 | Comparaciones – Slope | #30DayChartChallenge. Comportamiento de los focos de calor detectados para los paises de América Central. Creada usando R con #ggplot2, #dplyr, #scales, #readr, #stringr y #ggtext.
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/readr