#pseudonymous

Live, measured metrics for the hashtag #pseudonymous 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 #pseudonymous

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.

$5.00/ year · 12-character #name
Claim #pseudonymous$5.00/yr
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0.2
Avg reactions / post
Mastodon · last 9

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 11:13 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 11:13 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 11:13 UTC

Everything below is measured over the latest 9 public posts (spanning ~43991 hours).

Top of the latest posts

  • Goal: Untangle my computer use from any commercial/capitalist presets... https://xkcd.com/743/ https://mastodon.social/@mcc/109683380376727036 For 2023 a #LibreComputer AML-S905X-CC (#LePotato) (2GB) is my personal base level hardware platf

    Artemis@[email protected]232022-12-13 18:56 UTCView post →
  • [en] Paper: LLMs can be used to perform at-scale #deanonymization "With full Internet access, our #agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given #pseudonymous online profiles and con

    Research Network Digi-Oek.ch@[email protected]022026-03-05 21:47 UTCView post →
  • #LLMs can unmask #pseudonymous users at scale with surprising accuracy - https://arstechnica.com/security/2026/03/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy/ " Pseudonymity has never been perfect for preserving #pr

    Glyn Moody@[email protected]042026-03-03 13:37 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/pseudonymous