#協同編輯

Live, measured metrics for the hashtag #協同編輯 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
6
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 6
0
Avg reactions / post
Mastodon · last 6
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-25 01:25 UTC
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23
0
08-24
0
08-25

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-08-25 01:25 UTC

No related tags with measured usage found for #協同編輯.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-25 01:25 UTC

Everything below is measured over the latest 6 public posts (spanning ~23775 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (5) · Chinese (1)

Avg boosts / post: 0

Top of the latest posts

  • 🌗 單憑收斂還不夠 ➤ 探討在協同開發中維持執行期物件約束的挑戰與技術出路 ✤ https://www.inkandswitch.com/livelymerge/notebook/lm-02/ 在 Livelymerge 專案中，開發團隊試圖將整個執行期記憶體堆積（heap）儲存為 Automerge 文件，以實現多用戶無縫協同編輯。然而，他們發現 CRDT 的「收斂性」只能保證各客戶端的最終狀態一致，卻無法維護複雜資料結構（如鏈結串列）的程式不變量與指標邏輯。由於現有機制

    GripNews@[email protected]♥ 0↻ 02026-08-03 07:21 UTCView post →

  • 🌗 關於協同編輯的迷思（二）：為什麼我們棄用 Yjs ➤ 擺脫過度設計：以極簡架構實現高效協同編輯 ✤ https://www.moment.dev/blog/lies-i-was-told-pt-2 本文探討協同編輯領域中廣泛存在的迷思。作者指出，Yjs 等熱門 CRDT（無衝突複製資料型態）函式庫在處理離線衝突時會導致文件損毀，且在即時協同編輯中存在效能設計瑕疵。作者實測發現，Yjs 為了維持運作，竟會在每次按鍵時銷毀並重建整個文件，導致效能低落、節點狀態不穩定及外掛程

    GripNews@[email protected]♥ 0↻ 02026-03-16 06:18 UTCView post →

  • 🌘 協同編輯中的運算轉換：深入淺出介紹 ➤ 從基本概念到實務考量，解析協同編輯的核心技術 ✤ https://archive.casouri.cc/note/2025/practical-intro-ot/ 本文旨在介紹協同編輯技術中的運算轉換（OT）基本概念。作者澄清並無單一最佳演算法，並分享其研究過程的初步理解。文章詳述了 OT 與基於資料類型的 CRDT 兩種方法在處理併發操作上的差異，並深入探討了 OT 的核心機制，包括操作轉換函數與控制演算法，以及 TP1 和 T

    GripNews@[email protected]♥ 0↻ 02025-12-03 00:17 UTCView post →

#協同編輯 across platforms

every network with a public tag surface

Follow #協同編輯 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/協同編輯