#reasons

Live, measured metrics for the hashtag #reasons 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 #reasons

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.

$240.06/ year · 7-character #name
Claim #reasons — $240.06/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
0.6
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 2026-10-20 05:36 UTC
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18
0
10-19
0
10-20

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.online (Mastodon public search API) · fetched 2026-10-20 05:36 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-20 05:36 UTC

Everything below is measured over the latest 40 public posts (spanning ~4877 hours).

Posting hours (UTC) — busiest: 08:00

00:0012:0023:00

Languages: English (27) · Lithuanian (12) · Hindi (1)

Avg boosts / post: 0.3

Top of the latest posts

  • I implemented the Nimble type inference algorithm from Henry Baker's old Common Lisp paper in Clojure awhile back for #reasons. It's based on lattice/algebraic data flow (Kaplan-Ullman) rather than logical unification (Milner), and works we

    Jack Rusher@[email protected]♥ 22↻ 32026-03-22 14:33 UTCView post →
  • Unraveling The Drivers Of Water Shortage Across Spatial Scales And Sectors In Colorado's West Slope River Basins -- https://doi.org/10.1029/2026EF008137 <-- shared paper -- ['sorry' about your Kentucky Bluegrass, almonds, etc... /s] H/T Sai

    💧🌏 Greg Cocks@[email protected]♥ 3↻ 12026-07-31 05:27 UTCView post →
  • Reasons I didn't become an EMT, ranked https://ben.stolovitz.com/posts/reasons-not-emt-ranked/ Comments: https://news.ycombinator.com/item?id=49947631 #HackerNews #EMT #Reasons #Career #Choices #HealthCare #EmergencyServices

    Hacker News@[email protected]♥ 0↻ 02026-10-03 22:10 UTCView post →

What “reasons” means

Wiktionary · Wikipedia

reasons/ˈɹiːzənz/

  • nounA cause:
  • verbTo deduce or come to a conclusion by being rational
Full entry on Wiktionary →

In general terms, a reason is a consideration in an argument that justifies or explains an action, belief, attitude, or fact. A reason, in many cases, is brought up by the question "why?" and is answered following the word because. Additionally, words and phrases such as since, due to, as, a result of, considering (that), and in order (to), for example, all serve as explanatory locutions that precede the reason to which they refer.

“Reason (argument)” on Wikipedia (CC BY-SA) →

#reasons across platforms

every network with a public tag surface

Follow #reasons 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/reasons