#TheoremProving

Live, measured metrics for the hashtag #TheoremProving 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 #theoremproving

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 · 14-character #name
Claim #theoremproving — $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
0.6
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 2026-10-30 02:53 UTC
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29
0
10-30

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 2026-10-30 02:53 UTC

No related tags with measured usage found for #theoremproving.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-30 02:53 UTC

Everything below is measured over the latest 40 public posts (spanning ~12819 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (38) · German (1) · Italian (1)

Avg boosts / post: 1.7

Top of the latest posts

  • Hey algorithm, please help me get exposed to people who are interested in type theory, theorem proving and Principia Mathematica. I'm formalizing Principia Mathematica in Rocq. https://github.com/MudroadWhite/Neo-Principia/ If you want to t

    MDR@[email protected]♥ 16↻ 202026-05-20 12:29 UTCView post →

  • Terminal now can help you with formal proofs and theorem provers 🤯 📐 **lean-tui** — A TUI for visualizing Lean programs and proofs 💯 Live proof trees, data/effect flow views & real-time updates from your editor 🦀 Written in Rust & built

    Orhun Parmaksız 👾@[email protected]♥ 6↻ 52026-02-23 20:09 UTCView post →

  • https://lispy-gopher-show.itch.io/lispmoo2/devlog/1481398/homespun-acl2-handler-bind-condition-handling #acl2 simple introduction to acl2 for the #commonLisp inclined. loop$, apply$, thms oh my. In particular, I implement a model of a simpl

    screwlisp@[email protected]♥ 1↻ 32026-04-06 05:32 UTCView post →

#theoremproving across platforms

every network with a public tag surface

Follow #theoremproving 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/theoremproving