#skforecast

Live, measured metrics for the hashtag #skforecast 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 #skforecast

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.

$23.52/ year · 10-character #name
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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
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-03 19:03 UTC
0
09-27
0
09-28
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03

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 2026-10-03 19:03 UTC

No related tags with measured usage found for #skforecast.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-03 19:03 UTC

Everything below is measured over the latest 3 public posts (spanning ~2328 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2) · Spanish (1)

Avg boosts / post: 0.7

Top of the latest posts

  • skforecast 0.8.0 is available! 📈 skforecast is a Python library that makes it easy to perform time series forecasting using an API similar to the one of scikit-learn. The new release brings improved support for categorical features, expand

    Juan Luis@[email protected]♥ 0↻ 12023-05-17 12:53 UTCView post →

  • ¡Ya están publicadas las presentaciones de nuestro encuentro de febrero! https://github.com/PyDataMadrid/material/tree/main/010-febrero-2023-cryptocafe Muchas gracias a los ponentes por las magníficas charlas. ¡Nos vemos en la próxima! #PyD

    PyData Madrid@[email protected]♥ 0↻ 02023-03-01 06:25 UTCView post →

  • Ya está abierto el registro para nuestra reunión de febrero: "🧙 Exprimiendo la IA y series temporales con skforecast" este mes en Cryptocafé https://www.meetup.com/pydata-madrid/events/291455349/ ¡Nos vemos el jueves 16 a las 19:00! Y desp

    PyData Madrid@[email protected]♥ 0↻ 12023-02-09 13:08 UTCView post →

#skforecast across platforms

every network with a public tag surface

Follow #skforecast 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/skforecast