#自我量化
Live, measured metrics for the hashtag #自我量化 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #自我量化
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 2026-09-04 10:42 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 2026-09-04 10:42 UTCNo related tags with measured usage found for #自我量化.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-04 10:42 UTCEverything below is measured over the latest 2 public posts (spanning ~3422 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (2)
Avg boosts / post: 0
Used together with
Top of the latest posts
🌘 120 萬則訊息存入 Obsidian：構建 20 年聊天紀錄的關係圖譜 ➤ 從數位雜訊中提煉情感記憶：一場個人 CRM 的深度實踐 ✤ https://drobinin.com/posts/am-i-a-bad-friend/ 為了改善人際關係並深入瞭解自我，作者將過去 20 年間累積的 120 萬則跨平臺聊天紀錄（涵蓋 ICQ、Telegram、Facebook 等）轉化為結構化的 Obsidian 知識庫。他透過技術手段篩選噪音、合併不同平臺的身份資訊，並利用大型
🌘 2025 年我完成了 301,432 次閃卡複習 | Nate Meyvis ➤ 從三十萬次重複中提煉的記憶科學：一位數據狂人的年度實踐回顧 ✤ https://www.natemeyvis.com/i-did-301432-flashcard-reviews-in-2025/ Nate Meyvis 分享了他於 2025 年在「間隔重複學習」（Spaced Repetition）上的驚人紀錄。他全年度共進行了超過 30 萬次閃卡複習，涵蓋 5 萬多張獨立卡片，且全年無
#自我量化 across platforms
every network with a public tag surfaceFollow #自我量化 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/自我量化