Ship cleaner dbt models, automatically. DBT Lint is a lightweight SaaS tool that lints your dbt projects for you — no local setup, no CI config wrangling. Just upload your project files and let a background job scan your models for style issues, naming inconsistencies, and best-practice violations, then get a clear report you can act on.

I'm Jeremy Bui, solo founder/maker of DBT Lint. If you work with dbt, you know the drill — model quality tends to drift as a project grows, and unless someone's manually enforcing style and structure, things get messy fast. I built DBT Lint to fix that without adding more overhead to your workflow. Here's how it works: you upload your dbt project as a zip, and DBT Lint runs sqlfluff + lint checks across all your models in the background. You get back a project score and concrete, actionable recommendations on where your SQL and configs could improve — no CLI setup, no CI pipeline changes, just upload and get results. I built this because I wanted something dead simple for analytics engineers and small data teams to check project health without wiring up sqlfluff configs themselves. Would genuinely love your feedback — what would make this more useful for your team? Bugs, feature requests, brutal honesty all welcome. 🙏 👉 https://dbtlint-sigma.vercel.app

Uploaded a messy dbt project and the report flagged naming inconsistencies I'd been ignoring for months. Liked that I didn't have to touch CI just to see the results.

would love to see a github action that auto comments on PRs with the lint findings, would save the team from having to check the dashboard every time before merging.

Uploaded a messy dbt project and the report flagged naming inconsistencies I'd been ignoring for months. Liked that I didn't have to touch CI just to see the results.

would love to see a github action that auto comments on PRs with the lint findings, would save the team from having to check the dashboard every time before merging.

DBTLint

Upload. Lint. Ship cleaner dbt models.

Upload. Lint. Ship cleaner dbt models.