#生產力

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

hashtag.org network · sponsored

Own #生產力

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.

$5,313.74/ year · 3-character #name
Claim #生產力$5,313.74/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-21 09:18 UTC
0
08-15
0
08-16
0
08-17
0
08-18
0
08-19
0
08-20
0
08-21

0 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 2026-08-21 09:18 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-21 09:18 UTC

Everything below is measured over the latest 40 public posts (spanning ~3413 hours).

Top of the latest posts

  • 🌘 企業如何使用人工智慧:來自 ChatGPT 的實證研究 ➤ 揭開企業導入生成式 AI 的真實樣貌與挑戰 ✤ https://cdn.openai.com/pdf/how-organizations-use-chatgpt.pdf 本研究透過串接 ChatGPT Enterprise 帳戶紀錄與上市公司財務數據,深入分析了超過 1,500 家組織及 1,700 萬則訊息的使用行為。研究發現,企業對 AI 的採用正快速成長,且主要集中在規模較大、研發投入較高的公司。在組織內

    GripNews@[email protected]002026-08-13 20:20 UTCView post →
  • 🌗 為什麼我們假設每個人都應該工作?——威爾遜部落格 ➤ 翻轉就業迷思:當勞動力過剩成為經濟負擔 ✤ https://wilsoniumite.com/2026/08/10/why-do-we-assume-everyone-should-be-working/ 本文挑戰了「人人皆須就業」的傳統經濟假設,主張勞動力應被視為一種如水或石油般的資源,過度開發反而可能損害經濟效益。作者透過類比負油價與負利率現象,探討當勞動邊際效益低於成本時,強迫就業對整體經濟造成的負擔。文章指出

    GripNews@[email protected]002026-08-10 06:19 UTCView post →
  • 🌘 AI 生產力落差 ➤ 破解 AI 萬能神話:為什麼資深工程師的效率沒能翻倍? ✤ https://bjorg.bjornroche.com/management/ai-productivity-gap/ 本文探討為什麼人工智慧帶來的生產力提升不如預期。作者指出,編寫程式碼僅佔軟體工程師每日工作的一小部分,其餘時間仍需用於系統設計、除錯與跨部門溝通等 AI 難以代勞的任務。透過量化分析資深與初階工程師在導入 AI 前後的工作時間分配,數據顯示初階工程師因純編碼工作佔比較高

    GripNews@[email protected]002026-08-03 09:20 UTCView post →

#生產力 across platforms

every network with a public tag surface

Follow #生產力 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/生產力