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

1 points by ANKITkumar77 9 hours ago

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 impact

Built for: - Freelancers managing client data - Lean startup data teams without tooling budgets - Anyone tired of "who changed this?!" forensics

(HN: Would this solve real pain for you? Honest feedback welcome) Demo: