#RLIBM

Live, measured metrics for the hashtag #RLIBM 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 #rlibm

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.

$1,129.43/ year · 5-character #name
Claim #rlibm$1,129.43/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
2
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-28 15:15 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 15:15 UTC

No related tags with measured usage found for #rlibm.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-28 15:15 UTC

Everything below is measured over the latest 3 public posts (spanning ~10847 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 2

Top of the latest posts

  • Here is a talk summarizing our RLIBM project, where we are building correctly rounded math libraries. https://www.youtube.com/watch?v=vAcf6d26kiM #RLIBM #RutgersCS

    Santosh Nagarakatte@[email protected]522022-11-13 22:29 UTCView post →
  • Just committed new versions of correctly rounded sinf, cosf, tanf, asinf, acosf, and atanf that are about 20-30% faster than our previous versions. #RLIBM https://github.com/rutgers-apl/The-RLIBM-Project

    Santosh Nagarakatte@[email protected]142022-11-22 01:10 UTCView post →
  • Interesting: “High Performance Correctly Rounded Math Libraries For 32-Bit Floating Point Representations”, Jay Lim and Santosh Nagarakatte, SIGPLAN (https://blog.sigplan.org/2021/08/26/high-performance-correctly-rounded-math-libraries-for-

    रञ्जित (Ranjit Mathew)@rmathew002021-08-27 02:27 UTCView post →

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/rlibm