Nao is an AI powered data IDE for analysts, engineers, and scientists to write SQL, Python, or dbt workflows, preview changes, catch issues early, and deploy confidently. It connects directly to your warehouse and understands your schema so you can build faster, fix fewer bugs, and maintain trust in your data. Build data pipelines, launch quality checks, run analytics, and collaborate across teams without context switching. Think of it as your AI teammate built specifically for modern data work.
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Launch Team / Built With
I really like how AI natively works with the context and data. Wish Supabase will do the same!
nao
@pasha_tseluyko Yes I guess what we found is that AI experience is not the core product of any database / data warehouse. But you already work with your supabase database within nao!
nao
hey@pasha_tseluyko , nao works with Supabase actually! You have to set up a Postgres connection with Supabase creds. Let me know if you need help set it up
Great product and team! Congrats on the launch!
nao
@luca_martial thank you!
Swytchcode
This is a really great idea. Does it only support data viewing, or can we edit the data as well?
Also, is the generated analytics dashboard sharable? That will be really cool
nao
@chilarai yes the agent can run some data edits queries as well - but it will ask you for permission to avoid any breaking changes!
For now the generated analytics is not shareable. But it will be soon!
Swytchcode
@claire_gouze looking forward
nao
hi @chilarai for the moment it only support data viewing when it comes to your warehouse! if you want to edit your data it's still up to you depending on the pipelines you're writing. But, nao can help you write these pipelines.
For the moment the generated analytics dashboard are not sharable but it's on the near roadmap!
Product Hunt Wrapped 2025
nao as an AI IDE that actually knows the warehouse hits a nerve. I’m always bouncing between vs code, BigQuery, and dusty docs. If dbt + tests work with minimal setup, that’s a win. Local-first is nice. Parking this to try after standups.
nao
@alexcloudstar yes that was exactly the motivation behind nao - stop witch tabs, and have all your data context at the same place for AI!
nao
@alexcloudstar That's exactly this! I can't wait to see you build stuff with nao 🔥
ClipDrop
Can't wait to try it!
nao
@damien_henry1 yes please do and let you know what you think!
Café
nao
@tom_nguy yes go ahead and let us know what you think!
Orchestra Data Platform
Nao is LIT
nao
@hugo_lu yeess it's FIRE 🔥
nao
@hugo_lu @claire_gouze and it's FREE 🆓