#詩歌

Live, measured metrics for the hashtag #詩歌 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 #詩歌

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.

$11,525.77/ year · 2-character #name
Claim #詩歌 — $11,525.77/yr→Buy 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 · mastodon.online (Mastodon public tags API) · fetched 2026-08-18 11:31 UTC
0
08-12
0
08-13
0
08-14
0
08-15
0
08-16
0
08-17
0
08-18

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 2026-08-18 11:31 UTC
#詩歌朗讀
0 uses · 0 accounts / 7d
#詩歌舞街
0 uses · 0 accounts / 7d
#詩歌創作
0 uses · 0 accounts / 7d
#詩歌評價
0 uses · 0 accounts / 7d
#詩歌の守護神による_幻想の短歌アンソロジー_紀伊國屋書店新宿本店_梅﨑実奈が初の出版_偏愛147首を収めた_鴉は硝子のフリルで踊る_10月28日発売
0 uses · 0 accounts / 7d
#詩歌ちゃん
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-18 11:31 UTC

Everything below is measured over the latest 40 public posts (spanning ~16151 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: Japanese (24) · Chinese (Taiwan) (7) · English (5) · Ukrainian (2) · Russian (2)

Avg boosts / post: 0.3

Top of the latest posts

  • Now reading: 芭蕉全句集 (The Complete Matsuo Bashō Haiku Collection) #Bookstodon #CurrentlyReading #MatsuoBasho #JapaneseLiterature #Poetry #松尾芭蕉 #俳句 #詩歌 #読書

    Jan Manus Leupert (マヌス)@[email protected]♥ 0↻ 12026-07-23 10:19 UTCView post →

  • Now reading: 食後の唄 (しょくごのうた) 1919 by 木下杢太郎 (きのした もくたろう, Kinoshita Mokutarō) #Japanese #poetry #books #bookstodon #日本語 #日本文学 #詩歌 #詩集 #読書

    Jan Manus Leupert (マヌス)@[email protected]♥ 0↻ 02025-11-27 15:02 UTCView post →

  • 🌘 詩人謝默斯·希尼全集：文學評論 ➤ 深入剖析希尼的詩藝與評論集的編輯得失 ✤ https://literaryreview.co.uk/the-pen-the-spade-2 這篇評論探討了《謝默斯·希尼詩全集》的出版，這是一部收錄了這位諾貝爾獎得主十二本詩集及未收錄作品的鉅著。評論者高度讚揚了希尼詩歌的藝術成就，特別是他「找到自己的聲音」的過程，以及他將個人情感與詩歌技巧巧妙結合的能力。同時，評論也對編輯團隊的註解和考證提出了一些質疑，認為其在準確性和深度上存在不足，

    GripNews@[email protected]♥ 0↻ 02025-11-15 15:20 UTCView post →

#詩歌 across platforms

every network with a public tag surface

Follow #詩歌 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/詩歌