#m4max

Live, measured metrics for the hashtag #m4max 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 #m4max

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 #m4max$1,129.43/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
0.1
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-07-27 11:20 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 · mas.to (Mastodon public search API) · fetched 2026-07-27 11:20 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 11:20 UTC

Everything below is measured over the latest 40 public posts (spanning ~10902 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: French (18) · English (10) · German (5) · Latvian (2) · Chinese (1) · Polish (1)

Avg boosts / post: 0.1

Top of the latest posts

  • Spent the last week diving deep into E2EE and encryption. Decided to do it right: generated a fresh GPG key on my own hardware using Vanity GPG. Managed to "mine" 10 trailing zeros for the fingerprint in just 5 minutes on the M4 Max—the per

    Dima@[email protected]422026-01-27 21:30 UTCView post →
  • Esto indica que Apple sigue diferenciando claramente la gama Ultra como su apuesta más potente. #Apple #MacStudio #M4Max 4/5 Sin embargo, la competencia sigue lejos: La Nvidia RTX alcanza 14820 puntos, duplicando el rendimiento del M3 Ultra

    Manzanas Enfrentadas@ManzanasEnfrentadas102025-03-11 15:22 UTCView post →
  • #localai #speed vergleich #tokens in #lmstudio auf #macstudio #m4max #128gbram #llms google/gemma-4-26b-a4b(q8) = 76 token/s google/gemma-4-26b-a4b-qat(q4) = 106 token/s +39% speed und laut google soll die quantisierung bei #qat keine einfl

    VibeOps@[email protected]002026-06-07 15:45 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/m4max