#instructionsets

Live, measured metrics for the hashtag #instructionsets from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-07-28 13:35 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.online (Mastodon public search API) · fetched 2026-07-28 13:35 UTC

No related tags with measured usage found for #instructionsets.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-28 13:35 UTC

Everything below is measured over the latest 4 public posts (spanning ~29301 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 1

Top of the latest posts

  • Hype for the Future 140D: System Requirements for Instruction Set Extensions (Intel x86) Introduction Different instruction set extensions require generally different generations of Intel x86 processors. Please note that AVX-512 is only ava

    novaTopFlex@[email protected]♥ 0↻ 12026-03-20 11:43 UTCView post →

  • A very deep dive. "This is the story of how Apple made a mistake in the ROM of the Macintosh Classic II that probably should have prevented it from booting, but instead, miraculously, its Motorola MC68030 CPU accidentally prevented a crash

    Soh Kam Yung@[email protected]♥ 0↻ 12025-02-06 12:21 UTCView post →

  • Nice. An RFC for the Linux Kernel BPF Instruction Set Architecture. "BPF [...] is a technology with origins in the Linux kernel that can run untrusted programs in a privileged context such as an operating system kernel." https://www.rfc-edi

    Soh Kam Yung@[email protected]♥ 0↻ 22024-11-05 22:19 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/instructionsets