#作業系統開發
Live, measured metrics for the hashtag #作業系統開發 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #作業系統開發
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 2026-08-24 08:34 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 2026-08-24 08:34 UTCNo related tags with measured usage found for #作業系統開發.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 08:34 UTCEverything below is measured over the latest 15 public posts (spanning ~7897 hours).
Posting hours (UTC) — busiest: 11:00
Languages: Chinese (Taiwan) (15)
Avg boosts / post: 0.1
Top of the latest posts
🌗 go-boot:基於 Go 語言的裸機 UEFI 引導管理員 ➤ 當 Go 語言走入韌體層級:突破傳統框架的系統引導新選擇 ✤ https://github.com/usbarmory/go-boot go-boot 是一款創新的開源專案,它利用 TamaGo 框架將 Go 語言編寫的程式碼轉化為 unikernel,使其能直接在 AMD64 平臺的裸機 UEFI 環境中執行。這款工具不僅提供了一個功能豐富的 UEFI Shell,讓開發者能直接進行硬體探測、記憶體讀寫
🌘 星際之魂:將 Wine 移植至 Astral 作業系統 ➤ 從零建構:賦予自研作業系統運行 Windows 軟體的能力 ✤ https://astral-os.org/posts/2026/04/03/wine-on-astral.html 這篇文章記錄了開發者將 Windows 相容層 Wine 移植至個人自研作業系統 Astral 的過程。作者的目標是突破限制,讓該系統能運行如《Cogmind》等 32 位元 Windows 遊戲。透過啟用 MinGW 編譯 PE
🌘 Zinnia:一款採用 Rust 編寫的模組化 64 位元類 Unix 核心 ➤ 以 Rust 重塑 Unix 架構:模組化核心開發的實踐之路 ✤ https://zinnia-os.org/ Zinnia 是一項始於 2024 年的作業系統核心開發計畫,作者透過該專案深入探索系統程式設計。該核心幾乎完全以 Rust 語言撰寫,致力於將不安全代碼(unsafe code)的比例降至最低。Zinnia 具備良好的相容性,不僅實現了廣泛的 POSIX 系統呼叫介面,更納入
#作業系統開發 across platforms
every network with a public tag surfaceFollow #作業系統開發 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/作業系統開發