#instructionset
Live, measured metrics for the hashtag #instructionset from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #instructionset
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.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-11-12 23:42 UTC0 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 2026-11-12 23:42 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-11-12 23:42 UTCEverything below is measured over the latest 15 public posts (spanning ~50710 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (15)
Avg boosts / post: 0.1
Top of the latest posts
😬: “RISC-V: They Should Have Known Better”, Dmitry GR (https://dmitry.gr/?r=06.%20Thoughts&proj=12.%20RV). Via HN: https://news.ycombinator.com/item?id=49305492 On Lobsters: https://lobste.rs/s/pu3yzg/risc_v_they_should_have_known_better #
“ARM Or x86? ISA Doesn’t Matter” [2021], Chips And Cheese (https://chipsandcheese.com/2021/07/13/arm-or-x86-isa-doesnt-matter/). Via HN: https://news.ycombinator.com/item?id=41368004 #ISA #Hardware #CPU #ARM #Intel #AMD #x86 #RISCV #Perform
🌟 Oh wow, yet another deep dive into the riveting world of #RISC-V instructions! Who knew translating conditions to booleans could be so thrilling? 🎉 If you're still awake, congrats—you've truly reached the pinnacle of engineering enlight
#instructionset across platforms
every network with a public tag surfaceFollow #instructionset 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.
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/instructionset