#檔案傳輸
Live, measured metrics for the hashtag #檔案傳輸 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #檔案傳輸
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 10:29 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 2026-08-26 10:29 UTCNo related tags with measured usage found for #檔案傳輸.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 10:29 UTCEverything below is measured over the latest 6 public posts (spanning ~8428 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (6)
Avg boosts / post: 0
Top of the latest posts
🌖 Cloudflare Drop:技術實作解析 ➤ 打造零信任架構下的檔案傳輸新標竿 ✤ https://www.cloudflare.com/drop/ Cloudflare Drop 是一項旨在簡化檔案安全傳輸的解決方案。它巧妙地利用 Cloudflare 強大的邊緣網路(Edge Network),在用戶與目標端之間建立一道隱形的安全防護網,解決了大型檔案傳輸中常見的安全隱憂與效能瓶頸。透過整合其全球分散式架構,該服務確保數據在傳輸過程中受到嚴格的流量清洗與加密保護
🌘 GitHub - localsend/localsend:一款開源的跨平臺 AirDrop 替代方案 ➤ 擺脫雲端依賴,實現無縫的本地安全傳輸 ✤ https://github.com/localsend/localsend LocalSend 是一款功能強大的開源應用程式,旨在提供跨裝置的檔案與訊息傳輸服務。它突破了傳統檔案分享的限制,無須依賴網際網路或第三方伺服器,直接透過區網(Local Network)實現點對點傳輸。這款應用支援 Windows、macOS、L
🌖 使用rclone實現四倍速網路檔案同步(相較於rsync) ➤ 從單線程到多線程的效能躍進實錄 ✤ https://www.jeffgeerling.com/blog/2025/4x-faster-network-file-sync-rclone-vs-rsync/ 作者Jeff Geerling分享其透過rclone工具將網路檔案同步速度提升四倍的實戰經驗。原本使用rsync進行Thunderbolt SSD與NAS間的每日專案檔案同步需耗時8分鐘,經診斷發現rsyn
#檔案傳輸 across platforms
every network with a public tag surfaceFollow #檔案傳輸 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/檔案傳輸