#one_to_one

Live, measured metrics for the hashtag #one_to_one 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 #one_to_one

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.

$23.52/ year · 10-character #name
Claim #one_to_one$23.52/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
Uses / 7 days
Mastodon
Accounts / 7 days
Mastodon
Recent posts
Mastodon
Recent pace
Mastodon · last 0
Avg reactions / post
Mastodon · last 0
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-24 18:29 UTC

No measured public usage for #one_to_one in the last 7 days. That is a real result, and a good one to know: this hashtag is wide open right now. We show a dash before we ever show a made-up number. Browse the trending index for tags with live measurements.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-08-24 18:29 UTC

No related tags with measured usage found for #one_to_one.

Live pulse

measured · Mastodon tag timeline · fetched 2026-08-24 18:29 UTC

No recent public posts found for #one_to_one on Mastodon. Nothing measured, so nothing shown.

What “one_to_one” means

Wikipedia

In mathematics, an injective function (also known as injection, or one-to-one function) is a function f that maps distinct elements of its domain to distinct elements of its codomain; that is, x1 ≠ x2 implies f(x1) ≠ f(x2) (equivalently by contraposition, f(x1) = f(x2) implies x1 = x2). In other words, every element of the function's codomain is the image of at most one element of its domain. The term one-to-one function must not be confused with one-to-one correspondence that refers to bijectiv

Injective function” on Wikipedia (CC BY-SA) →

#one_to_one across platforms

every network with a public tag surface

Follow #one_to_one 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/one_to_one