#fzf

Live, measured metrics for the hashtag #fzf 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 #fzf

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.

$5,313.74/ year · 3-character #name
Claim #fzf — $5,313.74/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
0.4
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-14 21:08 UTC
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14

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

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-14 21:08 UTC

No related tags with measured usage found for #fzf.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-14 21:08 UTC

Everything below is measured over the latest 40 public posts (spanning ~6872 hours).

Posting hours (UTC) — busiest: 13:00

00:0012:0023:00

Languages: English (34) · French (2) · Czech (1) · Spanish (1) · German (1)

Avg boosts / post: 1.2

Top of the latest posts

  • I've been working on a presentation that uses #CoolRetroTerm to emulate a #vt220, and re-tooling all my editor and shell and #fzf stuff to fit those limitations. And you know what? It's kind of surprisingly modern and comfortable. I feel li

    Space Hobo@[email protected]♥ 4↻ 52026-09-26 20:04 UTCView post →

  • @reilyh :mi: :sona: :ala: :e_: :nasin: :lipu: slob • :sina: :wile: :kepeken: :lipu: :nimi: :la: :sina: :o_: :kama: :jo: :e_: :lipu: :ni: : https://tokipona.org/nimi_pu.txt https://tokipona.org/nimi_pu_ala.txt https://tokipona.org/compounds.

    jan Pele@[email protected]♥ 4↻ 12026-08-02 21:48 UTCView post →

  • Hello #Mastodon! First post here. I've been developing mend: a Zsh-native recovery tool for #ArchLinux. It maps terminal exit codes to the Arch Wiki using #fzf. v0.4.0 is live. Short demo video attached. (1/2) #Linux #OpenSource #Zsh #TUI #

    Lukas@[email protected]♥ 3↻ 02026-03-25 00:50 UTCView post →

What “fzf” means

Wikipedia

In computer science, approximate string matching is the technique of finding strings that match a pattern approximately. The problem of approximate string matching is typically divided into two sub-problems: finding approximate substring matches inside a given string and finding dictionary strings that match the pattern approximately.

“Approximate string matching” on Wikipedia (CC BY-SA) →

#fzf across platforms

every network with a public tag surface

Follow #fzf 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/fzf