#syntheticdata

Live, measured metrics for the hashtag #syntheticdata 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 #syntheticdata

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 · 13-character #name
Claim #syntheticdata — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
2
Uses / 7 days
Mastodon
2
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-28 22:51 UTC
0
10-22
1
10-23
0
10-24
0
10-25
0
10-26
1
10-27
0
10-28

2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-10-28 22:51 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-28 22:51 UTC

Everything below is measured over the latest 40 public posts (spanning ~5313 hours).

Posting hours (UTC) — busiest: 00:00

00:0012:0023:00

Languages: English (36) · Turkish (2) · Italian (1) · Hungarian (1)

Avg boosts / post: 0.5

Top of the latest posts

  • "A recent Axios story on maternal health policy referred to “findings” that a majority of people trusted their doctors and nurses. On the surface, there’s nothing unusual about that. What wasn’t originally mentioned, however, was that these

    Miguel Afonso Caetano 🦾 🌹@[email protected]♥ 5↻ 82026-04-07 19:31 UTCView post →
  • I modelli IA addestrati su testi generati da altre IA rischiano il "model collapse". Perdono diversità e qualità con risposte più omogenee e distorte. Il web umano pre-IA diventa una risorsa rara, preziosa e difficile da sostituire per il f

    Silvano Marioni@[email protected]♥ 1↻ 52026-10-12 05:00 UTCView post →
  • arXiv 프리프린트 「On-Policy Self-Training」은 프리미엄 학습 데이터 없이 LLM이 문제·풀이·정답을 생성하고, 이를 이용해 스스로 개선하는 학습 방식을 제안한다. 학생 모델과 EMA(지수이동평균) 교사 모델을 분리해 생성 결과를 선별·증류하며, 이미 해결 가능한 쉬운 샘플은 줄이고 유용한 힌트를 학습하는 것이 핵심이다. 합성 데이터 기반 지속 학습·도메인 적응 비용을 낮출 가능성이 있으나, 아직 초기 연

    ainews@[email protected]♥ 0↻ 02026-10-27 15:48 UTCView post →

#syntheticdata across platforms

every network with a public tag surface

Follow #syntheticdata 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/syntheticdata