#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.
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.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-07-27 00:50 UTC0 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 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-07-27 00:50 UTCEverything below is measured over the latest 40 public posts (spanning ~2042 hours).
Posting hours (UTC) — busiest: 00:00
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
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
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
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