#xgboost

Live, measured metrics for the hashtag #xgboost 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 #xgboost

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.

$240.06/ year · 7-character #name
Claim #xgboost — $240.06/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.1
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 2026-11-08 04:52 UTC
0
11-02
0
11-03
0
11-04
0
11-05
0
11-06
1
11-07
0
11-08

1 uses by 1 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 2026-11-08 04:52 UTC

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-08 04:52 UTC

Everything below is measured over the latest 40 public posts (spanning ~21209 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: Russian (20) · English (20)

Avg boosts / post: 0.3

Top of the latest posts

  • Detection Of Old-Growth Forests Using Airborne Laser Scanning [LiDAR] And Other Auxiliary Data Combined With National Forest Inventory Field Plot Data -- https://doi.org/10.1016/j.ecoinf.2026.104085 <-- shared paper -- H/T @janne Toivonen |

    💧🌏 Greg Cocks@GregCocks@techhub.social♥ 1↻ 22026-10-16 00:43 UTCView post →
  • #XGBOOST is fun

    Zachari@zachari@aus.social♥ 1↻ 02025-12-26 08:49 UTCView post →
  • [Перевод] Mac сам вычисляет вашу семью: разбор недокументированного графа знаний macOS Начиная с macOS 13 два демона, knowledgeconstructiond и intelligenceplatformd, строят на каждом Mac граф о владельце и людях вокруг него. В каталоге ~/Li

    Habr@habr@zhub.link♥ 0↻ 02026-11-07 16:32 UTCView post →

What “xgboost” means

Wikipedia

XGBoost is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, R, Julia, Perl, and Scala. It works on Linux, Microsoft Windows, and macOS. From the project description, it aims to provide a "Scalable, Portable and Distributed Gradient Boosting Library". It runs on a single machine, as well as the distributed processing frameworks Apache Hadoop, Apache Spark, Apache Flink, and Dask.

“XGBoost” on Wikipedia (CC BY-SA) →

#xgboost across platforms

every network with a public tag surface

Follow #xgboost 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/xgboost