I built a tool to track ad-hoc SQL before they break schemas

Show HN: I built a tool to track ad-hoc SQL before they break schemas

Operating in show hn launch, I built a tool to track ad-hoc SQL before they break schemas operates.

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I spent years as a data engineer debugging dashboards broken by untracked queries—Slack snippets, notebooks, and random scripts. Existing tools focus on enterprise lineage, not the daily pain points.So leveraging my Python skills I learned django and built Tesser v1 to: - Track ad-hoc queries (Slack/Jupyter) that modify production data - Show which dashboards/tables they broke - Visualize potential impacts before query runs - Can fetch lineage data from WHs, databases and BI.When someone runs UPDATE order_items SET price=0, Tesser: - Flags the query source (Slack user/notebook) - Shows affected dashboards - Estimates data impactBuilt for: - Freelancers managing client data - Lean startup dat

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

It is recorded at the Show HN launch stage.

Website: app.tesser.cloud/login/?next=