#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 · mas.to (Mastodon public tags API) · fetched 2026-11-09 10:18 UTC0 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 2026-11-09 10:18 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-09 10:18 UTCEverything below is measured over the latest 40 public posts (spanning ~7998 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (35) · Russian (5)
Avg boosts / post: 1.4
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
While I was working on this, the article Python Numbers Every Programmer Should Know appeared on the orange website. In #LuaLang, and on a 16-bit target, these overheads are less -- for example, a number weighs 10 bytes instead of 24 bytes
@treyhunner What do you think of this idea from @bswck? When you paste code into the REPL, it'll strip any `>>>` / `...`/ output you'd inadvertently copied. Could be useful for learners? https://github.com/python/cpython/issues/157612 #Pyth
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