#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
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-29 23:41 UTC
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29

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

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-09-29 23:41 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-29 23:41 UTC

Everything below is measured over the latest 3 public posts (spanning ~39621 hours).

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]♥ 0↻ 22024-11-14 12:23 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@[email protected]♥ 0↻ 12024-09-12 05:56 UTCView post →
  • @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:@[email protected]♥ 0↻ 12020-05-08 15:47 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