#軟體更新
Live, measured metrics for the hashtag #軟體更新 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #軟體更新
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 2026-08-26 10:30 UTC1 uses by 1 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 2026-08-26 10:30 UTCNo related tags with measured usage found for #軟體更新.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 10:30 UTCEverything below is measured over the latest 40 public posts (spanning ~7316 hours).
Posting hours (UTC) — busiest: 19:00
Languages: Chinese (Taiwan) (40)
Avg boosts / post: 0
Top of the latest posts
🌕 Emacs 31.1 有哪些新功能？ ➤ 揮別舊時代的記憶體傾卸，迎接更現代化且便利的編輯體驗 ✤ https://www.masteringemacs.org/article/whats-new-in-emacs-311 Emacs 31.1 正式發布，此版本專注於提升使用體驗與系統現代化。最顯著的變更是徹底移除了歷史悠久的 `unexec` 記憶體傾卸機制，完全改用可移植傾卸器（portable dumper）。此外，新版本優化了 Tree-sitter 語法解析器
🌗 Go 1.27 正式發布 - Go 程式語言 ➤ 邁向更高效、安全與現代化的 Go 語言新生態 ✤ https://go.dev/blog/go1.27 Go 團隊正式發布 Go 1.27，此版本在語言特性、工具鏈、執行期與標準庫等四大領域帶來重大升級。新版本引入了泛型方法支持、簡化了嵌套結構體的字面量初始化，並泛化了函式型別推導。工具方面，go mod tidy 現可自動重整依賴區塊；效能上則透過小物件記憶體分配優化，將小於 80 位元組的物件分配成本降低高達 30%
🌘 Rhombus v1.1 正式發佈 ➤ 降低開發門檻並強化擴充性的語言進化之路 ✤ https://blog.racket-lang.org/2026/08/rhombus-v1.1.html 泛用型程式語言 Rhombus 迎來 1.1 版本更新，進一步強化了其易用性與高度自定義的特性。本次更新聚焦於語法簡化與底層機制的優化，包括引進更直觀的註解定義方式以避開複雜的巨集開發，並針對類別繼承、外部函數介面（FFI）以及繪圖工具組進行多項改進。Rhombus 持續秉持 R
#軟體更新 across platforms
every network with a public tag surfaceFollow #軟體更新 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/軟體更新