#jit

Live, measured metrics for the hashtag #jit 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 #jit

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 #jit — $5,313.74/yr→
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3
Uses / 7 days
Mastodon
3
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.7
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 08:55 UTC
1
07-21
1
07-22
0
07-23
0
07-24
0
07-25
1
07-26
0
07-27

3 uses by 3 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 2026-07-27 08:55 UTC
#jitsi
12 uses · 6 accounts / 7d
#jitsimeet
0 uses · 0 accounts / 7d
#jitter
1 uses · 1 accounts / 7d
#jitendrasingh
6 uses · 4 accounts / 7d
#JitoNetwork
1 uses · 1 accounts / 7d
#jit_compiler
1 uses · 1 accounts / 7d
#JitendraJoshi
1 uses · 1 accounts / 7d
#jitendrasachdeva
0 uses · 0 accounts / 7d
#jitsimeetinstances
0 uses · 0 accounts / 7d
#jitschsnewanime
8 uses · 2 accounts / 7d
#jitome_no_tsugumi
0 uses · 0 accounts / 7d
#jitwan
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 08:55 UTC

Everything below is measured over the latest 40 public posts (spanning ~8315 hours).

Posting hours (UTC) — busiest: 07:00

00:0012:0023:00

Languages: English (17) · Russian (7) · Chinese (Taiwan) (2) · Japanese (2) · Korean (2) · French (1)

Avg boosts / post: 0.3

Top of the latest posts

  • People of the past, I have chosen the next emulator to add an #arm #jit to. #next #previous #retrocomputing

    Rui Carmo@rcarmo♥ 11↻ 22026-04-24 07:10 UTCView post →

  • step 1: do an experimental JIT step 2: do a website called https://www.doesjitgobrrr.com to track performance step 3: write a PEP called "JIT Go Brrr" step 4: non-experimental JIT gone brrr? step 5: CPython gone brr? step 6: brrr? https://p

    Hugo van Kemenade@hugovk♥ 9↻ 52026-07-03 20:02 UTCView post →

  • @schenklklopfer Huh, interesting. cPython 3.12.3: 9475.86 MB/s PyPy (nightly, default settings): 4378.93 MB/s PyPy (nightly, --jit off): 3676.98 MB/s My guess: Most of the time is spent in bytes.find(), which is a highly optimized C functio

    defnull@[email protected]♥ 2↻ 02026-06-08 07:09 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/jit