Welcome to nl2sql.ai
A trade publication for one technical beat: systems that turn natural language into SQL. Continuous coverage, evidence-diffed rankings, public corrections.
nl2sql.ai covers one beat, relentlessly: natural language to SQL. New model releases, benchmark movements, open-source projects, enterprise platform features, research papers, and the occasional post-mortem when things go wrong.
What we publish
- The wire — a continuously updated feed of short, sourced items: releases, papers, leaderboard moves, announcements.
- Stories — reported pieces when events deserve more than a headline.
- The leaderboard — a monthly, evidence-diffed ranking of the systems that matter.
- The directory — reference entries for every serious system on the beat, kept current.
- The benchmark tracker — BIRD, Spider 2.0, and whatever credible evaluation comes next, with every number linked to its source.
The rules we publish under
- Every claim cites a source. Wire items and stories link to the primary artifact — the release notes, the paper, the leaderboard entry.
- Rankings are evidence-diffed. Score changes name the evidence that moved them. No pay-for-placement, ever.
- Corrections are public. Corrected or retracted stories stay visible with a note explaining what changed.
Why this beat
Text-to-SQL sits at the exact pressure point of enterprise AI: it is the interface between "everyone can ask questions of data" and "the SQL was subtly wrong and nobody noticed." Benchmarks like Spider 2.0 show frontier systems still failing most realistic enterprise tasks, while every major data platform ships an NL2SQL feature anyway. That gap — between demo and dependable — is a news beat. We intend to cover it relentlessly.
Tips, corrections, and challenges: desk@nl2sql.ai. The wire is live.
- The state of natural-language-to-SQL, August 2026Aug 10, 2026
- Why BIRD became the benchmark that mattersAug 10, 2026
- Spider 2.0 is the enterprise reality checkAug 10, 2026