#texttosql

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
19
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 19
0
Avg reactions / post
Mastodon · last 19

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 09:21 UTC
0
07-22
0
07-23
0
07-24
0
07-25
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07-26
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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 09:21 UTC

No related tags with measured usage found for #texttosql.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 09:21 UTC

Everything below is measured over the latest 19 public posts (spanning ~17297 hours).

Posting hours (UTC) — busiest: 14:00

00:0012:0023:00

Languages: English (11) · Russian (7) · French (1)

Avg boosts / post: 0.1

Top of the latest posts

  • Python Trending (@pythontrending) WrenAI는 AI 에이전트를 위한 오픈소스 Generative BI 도구다. 오픈 컨텍스트 레이어를 통해 자연어 질의를 거버넌스된 text-to-SQL로 변환하고, 신뢰 가능한 대시보드·차트·SQL을 생성한다. 20개 이상 데이터 소스를 대상으로 에이전트 기반 분석이나 엔터프라이즈 NL2SQL 워크플로를 구축할 때 활용할 수 있다. https://x.com/pyth

    ainews@[email protected]♥ 0↻ 02026-07-20 01:55 UTCView post →

  • Introducing Gemini-SQL2, our breakthrough text-to-SQL capability powered by Gemini 3.1 Pro! We've achieved state-of-the-art results on the highly competitive BIRD benchmark, translating natural language into execution-ready SQL queries. htt

    ainews@[email protected]♥ 0↻ 02026-06-16 23:01 UTCView post →

  • 구글이 제미나이 3.1 프로 기반 텍스트-투-SQL 기능 '제미나이-SQL2'를 공개했다. BIRD 리더보드 실행 정확도 80.04%로 기존(76.13%)을 경신했으나 인간(92.96%)과 차이가 남는다. 실제로 실행 가능한 복잡한 SQL 생성에 초점을 맞췄고 빅쿼리 스튜디오·AlloyDB AI·Cloud SQL Studio 등 제품에 통합될 가능성이 있으나 별도 API는 미공개다. 업무 적용 시엔 여전히 사람 검토 필요. h

    ainews@[email protected]♥ 0↻ 02026-06-16 23:01 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/texttosql