#xeditsxnearby

Live, measured metrics for the hashtag #xeditsxnearby 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 #xeditsxnearby

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 · 13-character #name
Claim #xeditsxnearby — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
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 2026-11-05 19:13 UTC
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03
0
11-04
0
11-05

0 uses by 0 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 2026-11-05 19:13 UTC

No related tags with measured usage found for #xeditsxnearby.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-05 19:13 UTC

Everything below is measured over the latest 40 public posts (spanning ~10284 hours).

Posting hours (UTC) — busiest: 06:00

00:0012:0023:00

Languages: German (40)

Avg boosts / post: 0.8

Top of the latest posts

  • @bibliocon ⛳ Stadtbibliothek #MarzahnHellersdorf (Q55153443), Wikipedia: https://de.wikipedia.org/wiki/Spezial:In_der_N%C3%A4he#/coord/52.547152,13.55628 📍 Wikidata https://www.wikidata.org/wiki/Special:Nearby#/coord/52.547152,13.55628 #1l

    Jens Bemme@[email protected]♥ 1↻ 12026-05-21 06:39 UTCView post →

  • Wühle durch die Stapel mit Quickstatements verschiedener Archivdatenfreunde seit November, Januar, März in Wikidata: Geodaten, Adressen, Ids aus Archivsystemen der Länder... Feinschliff geht immer, aber das [kaum koordinierte Edits] sieht g

    Jens Bemme@[email protected]♥ 1↻ 42025-10-12 05:44 UTCView post →

  • "Excuse me, is it just here where the hackathon happens?" 🤷🏼‍♀️ 🔜 ? #xEditsXnearby Visitor Center and Gift Shop [Perhaps will provide you with a link.]] "Named after mathematician, writer, and computer scientist Ada Lovelace, AdaHack is

    Jens Bemme@[email protected]♥ 0↻ 12026-10-03 07:45 UTCView post →

#xeditsxnearby across platforms

every network with a public tag surface

Follow #xeditsxnearby 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/xeditsxnearby