#lexers
Live, measured metrics for the hashtag #lexers from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #lexers
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 2026-10-14 01:27 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 2026-10-14 01:27 UTCNo related tags with measured usage found for #lexers.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-14 01:27 UTCEverything below is measured over the latest 10 public posts (spanning ~41181 hours).
Posting hours (UTC)
Languages: English (5) · Russian (3)
Avg boosts / post: 0.8
Top of the latest posts
QapGen: Создаём мощные парсеры на C++ QapDSLv2 — это язык который транслируется в обычный C++ код. Он позволяет удобно и компактно задавать грамматики/правила разбора кода программ, значительно упрощая разработку компиляторов/анализаторов/т
1. Writing a programming language - the Lexer https://diode.zone/w/afaUbAnN5FvVGuJtscr2aA
Andy Balaam moved to https://video.infosec.exchange/a/andybalaam@[email protected]♥ 1↻ 42020-12-10 16:06 UTCView post →See Also: “Chapter 6: Lexical Analysis”, from “lcc, A Retargetable Compiler For ANSI C”, by Christopher Fraser & David Hanson (https://drh.github.io/lcc/documents/06lexical-analysis.pdf). #Books #Compilers #Lexers #Programming #PLDI #Lexica
What “lexers” means
WikipediaLexical tokenization is conversion of a text into meaningful lexical tokens belonging to categories defined by a "lexer" program. In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc. In case of a programming language, the categories include identifiers, operators, grouping symbols, data types and language keywords. Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexica
“Lexical analysis” on Wikipedia (CC BY-SA) →#lexers across platforms
every network with a public tag surfaceFollow #lexers 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/lexers