#JeffreyEpsteinFiles

Live, measured metrics for the hashtag #JeffreyEpsteinFiles 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 #jeffreyepsteinfiles

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 · 19-character #name
Claim #jeffreyepsteinfiles — $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
0.3
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-06 15:48 UTC
0
09-30
0
10-01
0
10-02
0
10-03
0
10-04
0
10-05
0
10-06

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 2026-10-06 15:48 UTC

No related tags with measured usage found for #jeffreyepsteinfiles.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-06 15:48 UTC

Everything below is measured over the latest 40 public posts (spanning ~8933 hours).

Posting hours (UTC) — busiest: 17:00

00:0012:0023:00

Languages: English (36) · Galician (2) · German (1) · Spanish (1)

Avg boosts / post: 0.9

Top of the latest posts

  • #Trump signs #executiveorder on #declassifying some files on #JFK, #RFK #martinLutherKing #MLK #assassinations. In executive order regarding the three assassinations, Trump wrote [or whomever is tasked to do so wrote]: “Their families & #Am

    beSpacific@[email protected]♥ 6↻ 32025-07-22 00:49 UTCView post →

  • @georgetakei Read an article in Mother Jones by journo Leland Bally who rang all 2,000 numbers in the Epstein list the butler tried to sell. Not sure he even mentions Thump but fascinating none the less; very dense. One of his summary takes

    Su_G@[email protected]♥ 2↻ 32025-07-15 02:09 UTCView post →

  • The #EpsteinFiles have been released—what now? https://www.youtube.com/watch?v=HiST30zSky0 https://piped.video/watch?v=HiST30zSky0 https://invidious.nerdvpn.de/watch?v=HiST30zSky0 #uspol #politics #Trump #DonaldTrump #MAGA #Project2025 #Tru

    Zuri (he/him) ❌️👑 | 🕐 CET@[email protected]♥ 1↻ 22025-12-20 16:28 UTCView post →

#jeffreyepsteinfiles across platforms

every network with a public tag surface

Follow #jeffreyepsteinfiles 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/jeffreyepsteinfiles