Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

> Why

Based on my experience with Claude, it's pretty damn good at doing data analysis, if given the right curated data models. You still need to eyeball the generated SQL to make sure it makes sense.

> and how?

1. Replicate your Postgres into Snowflake/Databricks/ClickHouse/etc, or directly to Iceberg and hook it up to Snowflake/Databricks/ClickHouse/etc.

2. Give your agent read access to query it.

3. Build dimensional models (facts and dimensions tables) from the raw data. You can ask LLM for help here, Claude is pretty good at designing data models in my experience.

4. Start asking your agent questions about your data.

Keep steps 3-4 as a tight feedback loop. Every time your agent hallucinates or struggle to answer your questions, improve the model.

Side note: I'm currently building a platform that does all 3 (though you still need to do 2 yourself), you just need Postgres + 1 command to set it up: https://polynya.dev/

 help



> Claude is pretty good at designing data models in my experience

Yesterday, Claude decided to go with nvarchar(100) for an IP address column instead of varbinary(16), and thinks RBAR triggers are just-as-good as temporal tables.

So, no. Claude is not good at designing data models in my experience.


Postgres has network types https://www.postgresql.org/docs/current/datatype-net-types.h...

  inet —- allows zero bits to the right of the netmask
  cider —- does not allow

> Side note: I'm currently building a platform

Oh ok this comment is just an ad then




Consider applying for YC's Summer 2026 batch! Applications are open till May 4

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: