#aiathome

Live, measured metrics for the hashtag #aiathome 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 #aiathome

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.

$110.68/ year · 8-character #name
Claim #aiathome — $110.68/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 15:50 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

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 2026-07-29 15:50 UTC

No related tags with measured usage found for #aiathome.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 15:50 UTC

Everything below is measured over the latest 4 public posts (spanning ~26154 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3) · French (1)

Avg boosts / post: 0

Top of the latest posts

  • I said "hey." One word. Three hours after my last benchmark run. DeepSeek R1 8B responded with 1,360 tokens of unprompted Python code — its best output of the entire test series. Then it explained why. And got everything wrong. Perfect reca

    Archer Dynamics@[email protected]♥ 0↻ 02026-03-23 16:20 UTCView post →

  • Tested Mistral's Ministral 3 14B on my home rig — and it has opinions. Typo-corrected me on first contact. Just sass, straight out of the box. Performance? Solid 48 t/s, 10GB VRAM, 98% GPU utilization. Oh, and it can see now. OCR + image re

    Archer Dynamics@[email protected]♥ 0↻ 02026-03-20 16:27 UTCView post →

  • Tested Qwen2.5 Coder 14B on my Linux server. Same code, same prompt I used on DeepSeek R1 last week. 12 seconds. Consistent across 3 runs. Zero drama. It cleaned up the code nicely and didn't go insane. Two models + same task = completely d

    Archer Dynamics@[email protected]♥ 0↻ 02026-03-19 23:16 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/aiathome