#sysprof

Live, measured metrics for the hashtag #sysprof 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 #sysprof

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 #sysprof$240.06/yr
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
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
2.6
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 10:17 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 10:17 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 10:17 UTC

Everything below is measured over the latest 40 public posts (spanning ~20252 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 1.9

Top of the latest posts

  • 5 days ago, I encountered a "somewhat serious, but niche" performance bug in #Inkscape where it would lock up the whole application while eating the CPU for 10 minutes when ungrouping thousands of objects at once (hello, EPS-imported files

    Jeff Fortin T. (風の庭園のNekohayo)@[email protected]2672025-12-05 15:53 UTCView post →
  • For a long time I've been intrigued by #Epiphany taking 3 to 20 seconds to load most websites on startup or in Incognito Mode. Today I tested a bunch of configurations to report a bug, profiled… and it turned out to be 2 bugs in 1 :blobswea

    Jeff Fortin T. (風の庭園のNekohayo)@[email protected]2242026-05-20 00:27 UTCView post →
  • I stumbled upon a 2300-pages-long PDF document that actually is a fantastic benchmark for slow search performance (1.5 to 5 minutes) in most PDF readers (including GNOME Papers, Evince and Okular)… so I fired up #Sysprof through GNOME Build

    Jeff Fortin T. (風の庭園のNekohayo)@[email protected]1872026-01-16 03:33 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/sysprof