#pdoom
Live, measured metrics for the hashtag #pdoom from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #pdoom
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.
Day-by-day usage
measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-30 19:01 UTC2 uses by 2 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 2026-10-30 19:01 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-30 19:01 UTCEverything below is measured over the latest 24 public posts (spanning ~29218 hours).
Posting hours (UTC) — busiest: 20:00
Languages: English (19) · German (2) · Portuguese (1)
Avg boosts / post: 0.5
Top of the latest posts
The real intention behind all those #AI apocalypse stories https://blog.edtechie.net/ai/hold-me-back/ #llm #pdoom
Zero token #AI O(k) complexity in sequence length #tokenminning #guardrails #pdoom Cred to @remino for the implementation
Existential Risk from AI: An Exposition for Mathematicians — Xiaoyu He, https://alkjash.github.io/ai-risk/ This interesting paper includes the Markov Chain and discussion below. I don't entirely agree with it (not least because I am between
#pdoom across platforms
every network with a public tag surfaceFollow #pdoom 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/pdoom