#repl

Live, measured metrics for the hashtag #repl 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 #repl

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.

$2,449.80/ year · 4-character #name
Claim #repl — $2,449.80/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
1.8
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 13:13 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 13:13 UTC
#replyguy
4 uses · 3 accounts / 7d
#reply
2 uses · 2 accounts / 7d
#ReplicantD6
0 uses · 0 accounts / 7d
#replication
1 uses · 1 accounts / 7d
#replicas
0 uses · 0 accounts / 7d
#replay
1 uses · 1 accounts / 7d
#replace
0 uses · 0 accounts / 7d
#replica1
0 uses · 0 accounts / 7d
#replica
0 uses · 0 accounts / 7d
#replyguys
0 uses · 0 accounts / 7d
#reply1997
0 uses · 0 accounts / 7d
#replicates
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:13 UTC

Everything below is measured over the latest 40 public posts (spanning ~6595 hours).

Posting hours (UTC) — busiest: 02:00

00:0012:0023:00

Languages: English (32) · Russian (4) · Chinese (Taiwan) (2) · Swedish (1) · French (1)

Avg boosts / post: 1.2

Top of the latest posts

  • RE: https://fosstodon.org/@tarsius/116643132796222151 In 1990 Dr. Peter Lee's 15-212 course at #CarnegieMellon introduced me to Scheme. It's also when I first came to comprehend the power of #Emacs and #EmacsLisp. In the first hour, Profess

    James Endres Howell@[email protected]♥ 15↻ 52026-05-27 01:03 UTCView post →

  • so, apparently hacking #scheme is going to get even more fun with B.L.U.E., a sane, extendable, lisp-y l, agnostic build system and #Ares, the interactive hacking tool we always sensed was missing from our work. Yes, we now have insightful

    gabber@[email protected]♥ 14↻ 82026-02-01 10:00 UTCView post →

  • @akkartik Since #Forth is just so great for super concise code, allow me to add another example, here to transpile (a subset of) Forth into GLSL for livecoding shaders. This one is using my old 2015 CharlieVM and you can find all the exampl

    Karsten Schmidt@[email protected]♥ 11↻ 42026-01-25 23:21 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/repl