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[ARTICLE · art-146011] src=sodabase.io ↗ pub= topic=machine-learning verified=true sentiment=↑ positive

Show HN: Data Observability for Supabase

Soda Data launched (Soda)base, a data observability tool that applies Soda's ML anomaly-detection algorithms to Supabase tables and alerts users when data goes stale or record counts become abnormal. The tool sets up in one click, learns data patterns and update schedules, and fires an agent to find the root cause, which users can discuss in Slack or hand off to Claude or Codex. Soda Data says it is working with Supabase on a one-click integration from Supabase to (Soda)base.

read1 min views1 publishedOct 6, 2026

Hi, I'm one of the (Soda)base creators. We made it because we wanted to get alerted when our Supabase tables got stale, abnormal amount of records, and anomalies in the data.

Just as an FYI, I'm intentionally writing (Soda)base for two reasons: (Soda)base's parent company is Soda Data (the data quality company), and to the untrained eye, the name Sodabase looks too similar to Supabase.

To make (Soda)base, we took Soda's ML algorithms for anomaly detection and made them super easy to set up with Supabase, so that it only takes one click. In the background, we learn the patterns in the data and the updating schedule, so when something looks off, we alert the user and fire an agent that finds the root cause of the issue.

Then the user can chat with the analysis agent in Slack to get a better understanding of it, or just hand it off to their Claude/Codex to continue the investigation or fix it.

We are also working together with Supabase to make it a one-click integration from Supabase to (Soda)base. So, if you have any feedback, questions or feature ideas, please share them here or to santi.viquez@gmail.com

Comments URL: [https://news.ycombinator.com/item?id=49977298](https://news.ycombinator.com/item?id=49977298)

Points: 1

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