#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.

hashtag.org network · sponsored

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.

$1,129.43/ year · 5-character #name
Claim #readr — $1,129.43/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.4
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-12 09:00 UTC
0
11-06
0
11-07
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-11-12 09:00 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-12 09:00 UTC

Everything below is measured over the latest 7 public posts (spanning ~52151 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (6)

Avg boosts / post: 1.1

Top of the latest posts

  • @rstats @jorge posted a quite interesting #webinar #shortcourse on how to handle data efficiently with #rstats • data management plans • version control • R for reproducible data manipulation • working on clusters • data publication #shateE

    Gerald Leppert, PhD :verified:@gerald_leppert@bonn.social♥ 2↻ 32020-05-08 15:47 UTCView post →
  • Nifty little #readr / #tidyverse pattern, no need to unzip zip-files: obis <- read_csv(unz(description = './data/CKI_P1_OBIS_sightings.zip', filename = 'Occurrence.csv'))

    Philipp Bayer@PhilippBayer@genomic.social♥ 1↻ 12024-09-12 05:56 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.

    Hondunauta@klauswiese@fosstodon.org♥ 0↻ 02026-04-20 14:22 UTCView post →

#readr across platforms

every network with a public tag surface

Follow #readr straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

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