#ttmo

Live, measured metrics for the hashtag #ttmo 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 #ttmo

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 #ttmo — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
4
Uses / 7 days
Mastodon
4
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
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 2026-10-17 00:58 UTC
0
10-11
1
10-12
1
10-13
1
10-14
1
10-15
0
10-16
0
10-17

4 uses by 4 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 2026-10-17 00:58 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-17 00:58 UTC

Everything below is measured over the latest 40 public posts (spanning ~4248 hours).

Top of the latest posts

  • Large organisations do not lack knowledge. Their knowledge is scattered across systems, documents, departments, legacy applications and individual employees. Could one secure, permission-aware AI assistant finally connect it all? This artic

    chribonn@[email protected]♥ 1↻ 02026-08-28 14:30 UTCView post →
  • I participated in a LinkedIn-based social engineering attempt The playbook: ✅ LinkedIn message ✅ Calendly meeting invite ✅ No camera ("technical issue") ✅ Gmail account, not corporate email ✅ Request to share your screen ✅ Excessive praise

    chribonn@[email protected]♥ 1↻ 22026-07-16 14:30 UTCView post →
  • AI adoption can start with ordinary work: reviewing documents, preparing for meetings, comparing options and improving drafts. The useful shift is to treat AI like a team member: choose the right capability, give clear instructions, review

    chribonn@[email protected]♥ 0↻ 22026-10-15 14:30 UTCView post →

#ttmo across platforms

every network with a public tag surface

Follow #ttmo 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/ttmo