#pim

Live, measured metrics for the hashtag #pim 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 #pim

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 #pim — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
9
Uses / 7 days
Mastodon
8
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-13 19:42 UTC
1
09-07
7
09-08
1
09-09
0
09-10
0
09-11
0
09-12
0
09-13

9 uses by 8 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-09-13 19:42 UTC
#PIMS
0 uses · 0 accounts / 7d
#PimEyes
0 uses · 0 accounts / 7d
#pimoroni
3 uses · 3 accounts / 7d
#pimientos
0 uses · 0 accounts / 7d
#pimco
1 uses · 1 accounts / 7d
#pimesh
0 uses · 0 accounts / 7d
#Pimmel
0 uses · 0 accounts / 7d
#pimsot
0 uses · 0 accounts / 7d
#pimonte
0 uses · 0 accounts / 7d
#pimax8k
0 uses · 0 accounts / 7d
#piments
1 uses · 1 accounts / 7d
#pimcore
0 uses · 0 accounts / 7d

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-13 19:42 UTC

Everything below is measured over the latest 40 public posts (spanning ~1031 hours).

Posting hours (UTC) — busiest: 06:00

00:0012:0023:00

Languages: English (23) · German (14) · Polish (3)

Avg boosts / post: 1.1

Top of the latest posts

  • My #hackmas talk "Basics of Personal Information Management: Finding the best tool(s)" is online: https://media.ccc.de/v/basics-of-personal-information-management-finding-the-best-tool-s (https://youtube.com/watch?v=WH53Ax6WVns) Amazing liv

    Karl Voit :emacs: :orgmode:@[email protected]♥ 13↻ 52026-08-28 22:23 UTCView post →

  • @concretedog @rpimag Using logseq? In this chaotic situation during the transition to database-only losing most of their cool features? I would not recommend anybody logseq any more if the data is somewhat important. For long term aspects:

    Karl Voit :emacs: :orgmode:@[email protected]♥ 4↻ 22026-09-08 10:10 UTCView post →

  • Just held my #PIM talk at #hackmas. Had live translation for the first time. And it was #signlanguage 😻 https://media.ccc.de/v/basics-of-personal-information-management-finding-the-best-tool-s #HackMas26

    Karl Voit :emacs: :orgmode:@[email protected]♥ 4↻ 32026-08-28 15:19 UTCView post →

#pim across platforms

every network with a public tag surface

Follow #pim 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/pim