#編碼
Live, measured metrics for the hashtag #編碼 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #編碼
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-25 01:23 UTC0 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 2026-08-25 01:23 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-25 01:23 UTCEverything below is measured over the latest 16 public posts (spanning ~19394 hours).
Posting hours (UTC) — busiest: 00:00
Languages: Chinese (Taiwan) (15) · Chinese (1)
Avg boosts / post: 0.2
Top of the latest posts
🌘 別名——Matt Godbolt 的部落格 ➤ 深入理解 C++ 別名:編譯器最佳化的隱形殺手 ✤ https://xania.org/202512/15-aliasing-in-general 本文深入探討了 C++ 中「別名」(aliasing) 如何阻礙編譯器執行關鍵最佳化,特別是在處理可能在記憶體中重疊的相同型別指標時。作者 Matt Godbolt 透過一個 `Counter` 類別的範例,詳細解釋了當 `int` 型別的成員變數 `total` 由一個 `i
🌗 Lambda Calculus 中的 de Bruijn 數字:一種基於參考深度的編碼方法 ➤ 一種創新的 Lambda Calculus 數字表示法及其算術應用 ✤ https://text.marvinborner.de/2023-08-22-22.html 本文介紹了一種新穎的 lambda calculus 數字編碼方式,稱為 de Bruijn 數字。此方法基於參考深度,將數字 n 編碼為 λⁿ n。作者探討了此編碼的性質,並證明瞭其 successor(後繼
🌘 Python Koans 15:隱形墨水 — 認識 Unicode 相符性與字形欺瞞 ➤ 辨識字串底層真相,告別視覺假象 ✤ https://pythonkoans.substack.com/p/koan-15-the-invisible-ink 本文深入探討 Unicode 字元處理中的細微差異,指出電腦碼點與人眼所見字形之間存在的斷層。透過 Python 的 `unicodedata` 模組,文章解釋了正規化(NFC 和 NFD)如何統一不同表示法的字元,確保字串比
#編碼 across platforms
every network with a public tag surfaceFollow #編碼 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/編碼