#CostAnalysis

Live, measured metrics for the hashtag #CostAnalysis 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 #costanalysis

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.

$5.00/ year · 12-character #name
Claim #costanalysis — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
33
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 33
0
Avg reactions / post
Mastodon · last 33
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-23 00:13 UTC
0
10-17
0
10-18
0
10-19
0
10-20
0
10-21
0
10-22
0
10-23

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.social (Mastodon public search API) · fetched 2026-10-23 00:13 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-23 00:13 UTC

Everything below is measured over the latest 33 public posts (spanning ~45800 hours).

Posting hours (UTC) — busiest: 03:00

00:0012:0023:00

Languages: English (19) · Chinese (China) (10) · German (3) · Turkish (1)

Avg boosts / post: 0

Top of the latest posts

  • Was my $48K GPU server worth it? https://rosmine.ai/2026/05/13/was-my-48k-gpu-worth-it/ #HackerNews #GPUserver #WorthIt #TechInvestment #AIHardware #CostAnalysis

    Hacker News@h4ckernews♥ 1↻ 02026-05-21 17:56 UTCView post →
  • Implicator tested whether running Qwen locally on Mac hardware beats hosted Claude when you factor in electricity, maintenance, and fallback costs. The answer depends on your workload assumptions. We measured three coding tasks twice each a

    Marcus Schuler@schuler♥ 0↻ 02026-09-13 19:25 UTCView post →
  • Meta's Muse Spark 1.3 matched OpenAI's GPT-5.6 Sol on benchmark performance at 42% lower cost per task. The advantage rests entirely on token pricing; if Sol and Grok adjust rates, the gap narrows. Worth tracking whether cost parity shifts

    Marcus Schuler@schuler♥ 0↻ 02026-09-03 11:45 UTCView post →

#costanalysis across platforms

every network with a public tag surface

Follow #costanalysis 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/costanalysis