#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.
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.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-29 09:42 UTC1 uses by 1 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 2026-10-29 09:42 UTCNo related tags with measured usage found for #repl.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-29 09:42 UTCEverything below is measured over the latest 40 public posts (spanning ~6757 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (32) · Russian (5) · Chinese (Taiwan) (3)
Avg boosts / post: 1
Top of the latest posts
Just whipped up: a two-way bridge between #CIDER / #Clojure and a #reMarkable 2. Think on e-paper, compute in the #REPL: anything you scribble/doodle on rM automatically shows up in #Emacs, and any expression you evaluate there is rendered
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
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
What “repl” means
WikipediaA read–eval–print loop (REPL), also termed an interactive toplevel or language shell, is a simple interactive computer programming environment that takes single user inputs, executes them, and returns the result to the user; a program written in a REPL environment is executed piecewise. The term usually refers to programming interfaces similar to the classic Lisp machine interactive environment or to Common Lisp with the SLIME development environment. Common examples include command-line shells
“Read–eval–print loop” on Wikipedia (CC BY-SA) →#repl across platforms
every network with a public tag surfaceFollow #repl 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/repl