#人物傳記
Live, measured metrics for the hashtag #人物傳記 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #人物傳記
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 13:56 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 13:56 UTCNo related tags with measured usage found for #人物傳記.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 13:56 UTCEverything below is measured over the latest 16 public posts (spanning ~9696 hours).
Posting hours (UTC) — busiest: 00:00
Languages: Chinese (Taiwan) (16)
Avg boosts / post: 0
Top of the latest posts
🌘 艾蜜莉·伊登:那位在攝影術誕生前,以畫筆記錄大英帝國轉型時期的英國女性 ➤ 從對陌生國度的文化衝擊,到成為記錄帝國邊陲的藝術先驅 ✤ https://www.bbc.com/news/articles/cm2drrv6q54o 艾蜜莉·伊登(Emily Eden)作為英國顯赫政壇家族成員,在 1830 年代隨其兄長、印度總督奧克蘭伯爵前往印度。在攝影技術尚未普及的殖民時期,她展現了極高的藝術敏銳度與好奇心,跳脫當時慣見的城堡或風景題材,轉而細膩捕捉印度多元的社會階層,包
🌘 亞歷山大·格羅滕迪克(Alexander Grothendieck)如何徹底革新 20 世紀數學 ➤ 隱藏在形態背後的結構:數學天才的抽象革命 ✤ https://www.quantamagazine.org/how-alexander-grothendieck-revolutionized-20th-century-mathematics-20260520/ 亞歷山大·格羅滕迪克之於 20 世紀數學,正如愛因斯坦之於物理學。他不僅產出了革命性的研究成果,更透過極致的抽
🌗 史蒂夫·賈伯斯的 Next 電腦:他被遺忘的流亡歲月 ➤ 從 NeXT 的失敗中淬煉:賈伯斯如何學會打造成功的蘋果 ✤ https://spectrum.ieee.org/steve-jobs-next-computer 史蒂夫·賈伯斯在 1980 至 1990 年代離開蘋果的「荒野歲月」常被簡化為一段空白,但記者傑弗裏·凱恩(Geoffrey Cain)在其新書《流亡中的史蒂夫·賈伯斯》(Steve Jobs in Exile)中指出,這 12 年的 NeXT 電腦時
#人物傳記 across platforms
every network with a public tag surfaceFollow #人物傳記 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/人物傳記