#daml

Live, measured metrics for the hashtag #daml 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 #daml

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.

$2,449.80/ year · 4-character #name
Claim #daml — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
4.8
Avg reactions / post
Mastodon · last 5
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-30 03:12 UTC
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29
0
09-30

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 2026-09-30 03:12 UTC
#damloop
0 uses · 0 accounts / 7d
#damlambert
0 uses · 0 accounts / 7d
#damla
0 uses · 0 accounts / 7d
#damlichewerbesprache
0 uses · 0 accounts / 7d
#damlichkeit
0 uses · 0 accounts / 7d
#damlicherdualismus
0 uses · 0 accounts / 7d
#damlaimoilan2
0 uses · 0 accounts / 7d
#dämlich
0 uses · 0 accounts / 7d
#DämlicheLetzteWorte
0 uses · 0 accounts / 7d
#damlinhdan
0 uses · 0 accounts / 7d
#damlasönmez
0 uses · 0 accounts / 7d
#dämlicher
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-30 03:12 UTC

Everything below is measured over the latest 5 public posts (spanning ~22474 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4) · French (1)

Avg boosts / post: 2

Top of the latest posts

  • Been here for several months now, so I guess it’s time update my #introduction post! The following is probably inaccurate! I’m Alex, better know as Axman6 pretty much everywhere you can think of - IRC (libera.chat#haskell etc.), 🦤 site, pr

    Axman6 | 🇦🇺@[email protected]♥ 24↻ 82023-08-20 06:34 UTCView post →

  • @haskman Having worked in a strict #Haskell (#DAML), I can tell you you lose a _hell of a lot_ by not having laziness. Composing code is a nightmare, you can't just do `take n . map foo . filter pred`, because the map and filter will always

    Axman6 | 🇦🇺@[email protected]♥ 0↻ 22023-11-15 23:46 UTCView post →

  • Agents and the Semantic Web (2001) : Hendler, J. DOI: https://doi.org/10.1109/5254.920597 #ontology #agents #semantic_web #DAML #MAS #my_bibtex

    nope@[email protected]♥ 0↻ 02023-04-17 18:20 UTCView post →

#daml across platforms

every network with a public tag surface

Follow #daml 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/daml