#graphdm

Live, measured metrics for the hashtag #graphdm 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 #graphdm

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.

$240.06/ year · 7-character #name
Claim #graphdm — $240.06/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-07-27 13:50 UTC
0
07-21
0
07-22
0
07-23
1
07-24
0
07-25
0
07-26
0
07-27

1 uses by 1 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 2026-07-27 13:50 UTC

No related tags with measured usage found for #graphdm.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 13:50 UTC

Everything below is measured over the latest 4 public posts (spanning ~2410 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0.3

Top of the latest posts

  • Up to 80% of #AI infrastructure sits idle—burning cost, energy, & innovation potential. @MarkusKett explores a new model: serverless, stateful AI memory at petabyte scale. Learn how to break the RAM-cost wall: https://javapro.io/2026/04/15/

    JAVAPRO@[email protected]♥ 0↻ 12026-07-24 18:30 UTCView post →

  • What if #AI memory behaved like a living system—persistent, connected, evolving? Not rebuilt per request, but continuously growing. @MarkusKett explores this shift with a #Java-native architecture. See how it works at scale: https://javapro

    JAVAPRO@[email protected]♥ 0↻ 02026-05-21 16:00 UTCView post →

  • Up to 80% of #AI infrastructure sits idle—burning cost, energy, & innovation potential. @MarkusKett explores a new model: serverless, stateful AI memory at petabyte scale. Learn how to break the RAM-cost wall: https://javapro.io/2026/04/15/

    JAVAPRO@[email protected]♥ 0↻ 02026-04-18 07:00 UTCView post →

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/graphdm