#ttft

Live, measured metrics for the hashtag #ttft 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 #ttft

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.

$2,449.80/ year · 4-character #name
Claim #ttft$2,449.80/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
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 2026-07-27 12:15 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 · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 12:15 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:15 UTC

Everything below is measured over the latest 4 public posts (spanning ~3493 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3) · Russian (1)

Avg boosts / post: 0

Top of the latest posts

  • AISatoshi (@AiXsatoshi) GLM5.2-IQ4에서 프리필과 디코드를 분리한 TTFT 이론값을 분석했다. 10GbE와 1GbE 네트워크 차이만으로도 TTFT가 수 초~수십 초 벌어질 수 있으며, KV 캐시를 Q8_0으로 설정하면 차이를 약 절반으로 줄일 수 있다고 제시했다. 10GbE 환경에서는 프리필 담당 컴퓨트가 병목으로 나타났다. https://x.com/AiXsatoshi/status/20774291395

    ainews@[email protected]002026-07-15 18:54 UTCView post →
  • Cколько железа нужно ИИ-агенту? Как мы считали ресурсы для on-premise LLM и почему калькуляторы ошиблись в 5 раз На связи Сергей Смирнов, AI-инженер и основатель LLMStart.ru. Один из самых частых вопросов от бизнеса: «Сколько и какого желез

    Habr@[email protected]002026-06-12 10:52 UTCView post →
  • KVBoost – chunk-level KV cache reuse for HuggingFace, 5–48x faster TTFT https://pythongiant.github.io/KVBoost/ #HackerNews #KVBoost #HuggingFace #AI #Performance #Optimization #CacheReuse #TTFT

    Hacker News@[email protected]002026-05-22 06:02 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/ttft