#datapipelines

Live, measured metrics for the hashtag #datapipelines 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 #datapipelines

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 #datapipelines — $5.00/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 · mas.to (Mastodon public tags API) · fetched 2026-10-28 23:51 UTC
0
10-22
0
10-23
1
10-24
0
10-25
0
10-26
0
10-27
0
10-28

1 uses by 1 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 2026-10-28 23:51 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-28 23:51 UTC

Everything below is measured over the latest 40 public posts (spanning ~25030 hours).

Top of the latest posts

  • 🎉 Milestone Unlocked: Finished the Data Engineering Zoomcamp! In 10 weeks, I moved from scripting to architecting systems. We built real production-grade infrastructure using Spark, Kafka, Airflow, and Kestra—not just hobby projects. Capst

    amah_codes@[email protected]♥ 1↻ 32026-04-30 19:00 UTCView post →
  • #getfedihired I have a full #dataengineering project team capable of developing #datapipelines #airflow #orchestration and #automation ready for project work. We work on #openstack #aws and the other guys. We try to stay in the #linux and #

    Klemn@[email protected]♥ 1↻ 02025-08-14 03:13 UTCView post →
  • Every tool in a data pipeline that needs to track where data came from and where it's going has to build a custom integration with every other tool it talks to, so the number of integrations explodes as tools multiply. How does OpenLineage

    wiggitywhitney@[email protected]♥ 0↻ 02026-10-16 17:27 UTCView post →

#datapipelines across platforms

every network with a public tag surface

Follow #datapipelines 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/datapipelines