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Sqlsure

deterministic semantic checks for AI-generated SQL

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HN · launched Jul 11, 2026 · 43 upvotes (top 17%) · 0 views

Niche: database and data quality tools · 104 launches, 7 in the last 7 days ▼ -36% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI feature
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes A deterministic SQL semantic validator can be implemented using existing open-source SQL parsers (such as sqlfluff, sqlglot, or AST-based linters) and custom lint rules vibe-coded in Python or TypeScript.

Discussion

7 comments analyzed.

Competitors mentioned: Looker, dbt, Spider benchmark, BIRD benchmark

Concerns raised: Fan-out double-counting example not convincing as common problem, Appears to mask bad database design rather than fix root cause, AI-written documentation is hard to comprehend, Unclear if library is better solution than existing tools

Feature requests: Support for Skills

Competitors

Other products that read as similar to this one : 3349 launches clear the similarity bar, closest 8 shown.

Attention rank: #491 of 3350 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 255 days after the earliest competitor.

  • GenDB-V · github · 2026-11-01 · 14 upvotes · similarity 0.79
  • Pglens · hn · 2026-03-29 · 13 upvotes · similarity 0.69
  • Dribble · hn · 2026-06-30 · 5 upvotes · similarity 0.68
  • jevql · github · 2026-09-18 · 11 upvotes · similarity 0.67
  • JevSDSQL · github · 2026-09-23 · 23 upvotes · similarity 0.65
  • Axiomat – Agents that cannot hallucinate · yc · 2026-11-09 · 12 upvotes · similarity 0.64
  • Engrim · hn · 2026-09-07 · 92 upvotes · similarity 0.64
  • RooQL · hn · 2026-10-13 · 6 upvotes · similarity 0.63

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