#sqlcodelenses

Live, measured metrics for the hashtag #sqlcodelenses 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 #sqlcodelenses

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 #sqlcodelenses — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0.5
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-16 11:43 UTC
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16

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 2026-10-16 11:43 UTC

No related tags with measured usage found for #sqlcodelenses.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-16 11:43 UTC

Everything below is measured over the latest 2 public posts (spanning ~427 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0.5

Top of the latest posts

  • Our new #MarkdownSQL #ProDataTools 🛠️ now support SQL code fences in #Quarto docs, and add #SQLCodeLenses 🧐 & #SQLBookmarks 📑 to .qmd markdown documents in #VSCode IDE. Quick demo of setting up local HR #SQLite database with #SQLTools VS

    Taras Novak 🇺🇦@dataSamurai@vis.social♥ 1↻ 12023-08-20 12:53 UTCView post →

  • There are over 538K SQL code blocks in docs on GitHub: 🔎 https://github.com/search?q=%2F%60%60%60sql%5B%5Cs%5CS%5D*%3F%60%60%60%2F+language%3AMarkdown&type=code We believe SQL code in docs should be runnable. We created #SQLCodeLenses with

    Taras Novak 🇺🇦@dataSamurai@vis.social♥ 0↻ 02023-08-02 17:54 UTCView post →

#sqlcodelenses across platforms

every network with a public tag surface

Follow #sqlcodelenses 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/sqlcodelenses