#DataTeams

Live, measured metrics for the hashtag #DataTeams 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 #datateams

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.

$51.02/ year · 9-character #name
Claim #datateams$51.02/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
8
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 8
0
Avg reactions / post
Mastodon · last 8

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 09:32 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 09:32 UTC

No related tags with measured usage found for #datateams.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 09:32 UTC

Everything below is measured over the latest 8 public posts (spanning ~41530 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4) · German (3) · Dutch (1)

Avg boosts / post: 0.4

Top of the latest posts

  • Scott Breitenother jumped into every Slack thread at Brooklyn Data. It made the company fast and him the bottleneck. His fix: subscribe to replies, don't comment, check back in 3 hours. #Leadership #DataTeams

    Recce - Trust, Verify, Ship@[email protected]002026-03-11 17:31 UTCView post →
  • A feed broke. Roger Magoulas didn't notice. Tim O'Reilly called it out. His fix: a weekly "Synced" email confirming data freshness. Then he added insights. Soon it went company-wide. 🎧 Full episode: https://youtu.be/z3E0Pi4XaLg #dataengine

    Recce - Trust, Verify, Ship@[email protected]002026-02-09 02:55 UTCView post →
  • What percentage of your data team's time goes to pipeline maintenance versus exploratory analysis? Roger Magoulas argues the ratio determines whether you generate insight or just keep the lights on. 🎧 https://youtu.be/z3E0Pi4XaLg #dataengi

    Recce - Trust, Verify, Ship@[email protected]002026-02-03 02:31 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/datateams