#sqlbugs

Live, measured metrics for the hashtag #sqlbugs from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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$240.06/ year · 7-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
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 2026-10-29 04:01 UTC
0
10-23
0
10-24
0
10-25
0
10-26
0
10-27
0
10-28
0
10-29

0 uses by 0 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 2026-10-29 04:01 UTC

No related tags with measured usage found for #sqlbugs.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-29 04:01 UTC

Everything below is measured over the latest 40 public posts (spanning ~2254 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 0

Top of the latest posts

  • Subquery Returns Multiple Rows In Comparison?! Using subquery that returns multiple rows in = comparison crashes! SQL doesn't know which row to use. This breaks subqueries! Watch! #sql #sqltricks #database #sqltutorial #subqueries #multiple

    PrecisionSQL@[email protected]♥ 0↻ 02026-03-13 10:41 UTCView post →

  • 0.1 + 0.2 In SQL = 0.30000000000000004?! SQL floating point precision is broken! Adding 0.1 + 0.2 creates a number with precision errors. This breaks financial calculations! Watch! #sql #sqltricks #database #sqltutorial #floatingpoint #prec

    PrecisionSQL@[email protected]♥ 0↻ 02026-02-25 16:40 UTCView post →

  • COUNT(*) vs COUNT(column) Are DIFFERENT?! COUNT(*) and COUNT(column) behave completely differently with NULLs! One counts NULLs, one doesn't. This breaks aggregate logic! Watch! #sql #sqltricks #database #sqltutorial #count #aggregate #sqlq

    PrecisionSQL@[email protected]♥ 0↻ 02026-02-12 16:41 UTCView post →

#sqlbugs across platforms

every network with a public tag surface

Follow #sqlbugs 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/sqlbugs