Relium

Catch risky dbt changes before they break business metrics

31 followers

Catch risky dbt changes before they break business metrics

31 followers

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Testing and QA software

Relium is a pre-merge reliability layer for SQL and dbt. It reviews every PR, understands semantic changes, traces downstream model and KPI impact, checks warehouse evidence, and returns ALLOW / WARN / BLOCK before production. Unlike observability tools that alert after data breaks, Relium helps teams catch silent logic failures before they ship.

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Launch tags:SaaS•Developer Tools•Data & Analytics

Launch Team

Render Sandboxes: a computer for every agentGive every agent its own machine. Starts in under a second

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Vercel

Vercel Day

Which Vercel product did you use? What new capability did it give your team, and how did that shape the product you launched?

Maker

We used Vercel to ship the Relium frontend and iterate on the product extremely quickly. Preview deployments let me test dashboard changes without disrupting production, while fast releases helped me connect the UI to a rapidly evolving backend and GitHub review engine. It made the product feel like one continuous workflow instead of a collection of backend tools.

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1mo ago

Maker

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I’m Abhishekh, founder of Relium. I started building Relium around a simple problem: a dbt pipeline can compile, tests can pass, and the business metric can still be wrong. Relium reviews SQL and dbt changes before merge, understands what changed, traces downstream impact, checks warehouse evidence, and gives teams an ALLOW / WARN / BLOCK decision before the change reaches production. We’re still early and I’m working closely with data teams to make the review signal genuinely trustworthy rather than adding another noisy CI check. I’d especially love feedback from analytics engineers, data engineers, and people running dbt in production. What would Relium need to show you before you’d trust it in your PR workflow?

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2mo ago

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