#subqueries
Live, measured metrics for the hashtag #subqueries from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #subqueries
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 · mas.to (Mastodon public tags API) · fetched 2026-10-29 07:13 UTC0 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 2026-10-29 07:13 UTCNo related tags with measured usage found for #subqueries.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-29 07:13 UTCEverything below is measured over the latest 6 public posts (spanning ~13652 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 0.2
Top of the latest posts
EXISTS vs IN With NULL Breaks Logic! EXISTS and IN behave completely differently with NULL! One works, one doesn't. This breaks subquery logic! Watch the chaos! #sql #sqltricks #database #sqltutorial #existsin #subqueries #sqlquiz #codingch
EXISTS vs IN with NULLs?! EXISTS and IN handle NULLs DIFFERENTLY! IN returns NULL when NULL is in the list, EXISTS doesn't. This NULL behavior will cause bugs! #sql #sqltricks #exists #in #nullhandling #sqlweird #sqlquiz #codingchallenge #s
Correlated Subquery in SELECT?! Subqueries in SELECT execute for EVERY row! This correlated subquery runs once per row, creating a performance nightmare. This is why queries are slow! #sql #sqltricks #correlatedsubquery #selectclause #perfo
What “subqueries” means
WikipediaThe SQL SELECT statement returns a result set of rows, from one or more tables.
“Select (SQL)” on Wikipedia (CC BY-SA) →#subqueries across platforms
every network with a public tag surfaceFollow #subqueries 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/subqueries