#computecosts

Live, measured metrics for the hashtag #computecosts 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 #computecosts

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 #computecosts$5.00/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 03:24 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 03:24 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 03:24 UTC

Everything below is measured over the latest 3 public posts (spanning ~6275 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 0.7

Top of the latest posts

  • OpenAI Navigates IPO Push Amidst Shifting Financial Projections OpenAI eyes IPO, revises compute costs to $600 billion by 2030. Expects losses until 2028, profit by 2030. Learn how this affects AI development. #OpenAI, #AI, #IPO, #TechNews,

    NewsletterTF@[email protected]002026-05-01 06:07 UTCView post →
  • OpenAI's compute needs are now projected at $600 billion by 2030, a significant increase. This is higher than their earlier plans. #OpenAI, #AI, #IPO, #TechNews, #ComputeCosts https://newsletter.tf/openai-ipo-compute-costs-600-billion-by-20

    NewsletterTF@[email protected]002026-05-01 06:05 UTCView post →
  • "The incredible demand for high-quality human-annotated data is fueling soaring revenues of data labeling companies. In tandem, the cost of human labor has been consistently increasing. We estimate that obtaining high-quality human data for

    Miguel Afonso Caetano@[email protected]022025-08-12 18:59 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/computecosts