#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.
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.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 09:32 UTC0 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 UTCNo related tags with measured usage found for #datateams.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 09:32 UTCEverything below is measured over the latest 8 public posts (spanning ~41530 hours).
Posting hours (UTC)
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
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
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
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