#literals

Live, measured metrics for the hashtag #literals 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 #literals

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 #literals — $110.68/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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-31 06:29 UTC
0
08-25
0
08-26
0
08-27
0
08-28
0
08-29
0
08-30
0
08-31

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 2026-08-31 06:29 UTC
#literalsociety
0 uses · 0 accounts / 7d
#literalshowerthoughts
0 uses · 0 accounts / 7d
#literalshitposf
0 uses · 0 accounts / 7d
#LiteralShitposting
0 uses · 0 accounts / 7d
#literalshitpost
0 uses · 0 accounts / 7d
#literalsoapopera
0 uses · 0 accounts / 7d
#literalstreetfood
0 uses · 0 accounts / 7d
#literalships
0 uses · 0 accounts / 7d
#literalshitallovertheplace
0 uses · 0 accounts / 7d
#literalscorpionforpresident2020
0 uses · 0 accounts / 7d
#literalshitshow
0 uses · 0 accounts / 7d
#LiteralStreetPhotography
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-31 06:29 UTC

Everything below is measured over the latest 3 public posts (spanning ~28932 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 1.7

Top of the latest posts

  • Python string literals are kinda funny https://sebsite.pw/w/20260806-pystrings.html Comments: https://news.ycombinator.com/item?id=49192556 #HackerNews #Python #string #literals #funny #programming #humor #coding #tips

    Hacker News@[email protected]♥ 0↻ 12026-08-08 19:28 UTCView post →

  • Make C string literals const? https://gustedt.wordpress.com/2025/04/06/make-c-string-literals-const/ #HackerNews #Make #C #string #literals #const? #CProgramming #CStrings #ConstCorrectness #HackerNews #CodingStandards

    Hacker News@[email protected]♥ 0↻ 02025-04-06 22:38 UTCView post →

  • 📢 Everything you always wanted to know about RDF literals by @pchampin 📺 video: https://youtu.be/FTeZUDsKxqA 📊 slides: https://notes.inria.fr/p/UNHx2tqTx#/ 🔑 #RDF #Literals #SPARQL #OWL #SHACL 👥 @inria @CNRS @w3c.social

    Fabien Gandon@[email protected]♥ 0↻ 42023-04-21 07:20 UTCView post →

#literals across platforms

every network with a public tag surface

Follow #literals 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/literals