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Semantic-layer transpiler: one neutral IR, many dialects (dbt, Snowflake Cortex, semantic views, supersimple, nao). Written in Go.

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Semglot – Sqlglot for Semantic Layers

Name: Semglot – Sqlglot for Semantic Layers
Availability: InStock
Author: andrebaaij

by andrebaaij·Jul 21, 2026·1 point·0 comments

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AI Analysis

●●SolidBig BrainNiche Gem

Sqlglot logic applied to semantic layers, solving the dbt-to-Snowflake migration headache.

Strengths

•Neutral IR architecture means adding one dialect instantly enables conversions to all others.
•Written in Go for a fast, single-binary CLI experience familiar to data platform teams.
•Solves a specific, painful friction point in analytics engineering without AI fluff.

Weaknesses

•Currently reads only dbt; limited utility until more source parsers are implemented.
•Niche audience restricted to teams actively maintaining conflicting semantic definitions.

Post Description

Hey HN, I’m André, one of the people that is building benchouse.ai, a public leaderboard for analytics agents.

To score every agent fairly, we need to give them equivalent semantic context. Every agent has their own format ranging from dbt docs to Snowflake semantic views or custom yaml formats. I was porting them over manually, but every change in the reference context meant updating multiple docs. Quite annoying.

So we wrote semglot, it reads one semantic model and emits another one. Similar to sqlglot but for semantic layers. Today it reads dbt and writes to 6 different targets. Many more to come as we add more agents to benchouse.ai

MIT licensed.