#forecasting

Live, measured metrics for the hashtag #forecasting 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 #forecasting

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.

$10.85/ year · 11-character #name
Claim #forecasting$10.85/yr
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-07-27 00:50 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 · mas.to (Mastodon public search API) · fetched 2026-07-27 00:50 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 00:50 UTC

Everything below is measured over the latest 40 public posts (spanning ~2042 hours).

Posting hours (UTC) — busiest: 00:00

00:0012:0023:00

Languages: English (31) · German (2) · Lithuanian (1) · Spanish (1)

Avg boosts / post: 0.2

Top of the latest posts

  • Issue 97 is out! This week's agenda: 🔹 Open Source of the Week - skforecast-ai, forecasting AI agent 🔹 New learning resources 🔹 Book of the week - Practical LLM Evaluation for Production Systems https://ramikrispin.substack.com/p/the-skf

    Rami Krispin :unverified:@[email protected]112026-07-18 16:03 UTCView post →
  • Following up on my recent post about command-line use of TempEst-NEXT, there's now a graphical user interface in version 0.2.2, allowing users to easily generate river temperature predictions anywhere. After installing through the Python pa

    Daniel Philippus@[email protected]102026-06-16 22:21 UTCView post →
  • Microsoft Research (@MSFTResearch) Aurora 1.5가 공개되며 foundation model에 변수 22개 추가, 시간 단위 해상도, 확률적 앙상블 예측 기능이 들어갔다. 실세계 날씨·기후·에너지 응용에 더 유용해졌다는 업데이트로, 기상 예측 및 에너지 수요 예측 파이프라인에 의미 있는 개선이다. https://x.com/MSFTResearch/status/2075260665669828749 #a

    ainews@[email protected]002026-07-10 07:48 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/forecasting