Teable 3.0

AI Spreadsheet for Business

Productivity

Spreadsheets

Artificial Intelligence

GitHub

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How does the data sync work when you're pulling from multiple sources that update at different schedules? That's always where the real complexity hides in these multi-system setups.

this reads less like an Airtable competitor and more like someone trying to replace Retool and Airtable at the same time. that's a much bigger yet.

Interesting! Does the custom app layer support different experiences for employees, partners, and customers? That would unlock a lot of workflows currently split across portals and internal bases.

hey congrats on the launch! quick question: how do you handle permissions and history logs since many people can just edit and change data that can tangle the rest of the workflow?

One of the most interesting launches today! The Postgres-as-substrate choice is what makes the agent story believable to me. And probably most 'AI acts on your data' pitches fall apart the second an agent writes something wrong across linked records. Wondering...when an agent runs a multi-step action and step 3 fails, does the whole thing roll back as one transaction?

the migrate-anything plus self-host combo is the real hook here, owning your own data is the thing airtable structurally can't offer. congrats on 3.0

Hey, the spreadsheet-that-is-really-a-database space is crowded, so curious where you land. In my experience the moment a team spreadsheet gets important it breaks, because five people edit it and nobody trusts the numbers. Does Teable handle permissions and audit trails well enough to be the real source of truth, or is it best as a fast front end?

The migration claim is the part I would stress test hardest, specifically the linked records piece. Airtable and similar tools let people build pretty tangled relationship structures over years, lookups referencing lookups, rollups built on linked fields that are themselves filtered views. Moving the raw data over is the easy part. Moving the actual behavior of those relationships so formulas and automations still resolve the same way on the other side is where most migration tools quietly lose fidelity. Curious how much of that structural logic survives a real migration versus just the tables and values themselves. Also on the super automation side, once you're running things like contract expiration reminders and weekly sales reports automatically, what happens when the underlying data changes shape, say someone renames a field or restructures a table the automation depends on. Does it fail loud and notify someone, or does it quietly keep running against stale assumptions.

Congrats on shipping Teable 3.0! 🎉 "Connect any system, migrate any data" is a bold promise — curious how deep the AI goes on the migration side: does it auto-detect schema/field types from messy source data, or do you still need to map fields manually before it builds the workflow?

I like that the demo examples are operational—contract reminders, reports, approvals, emails—not just “summarize this column.” Much easier to understand the business value.

This looks like one of those products that makes more sense the moment you imagine your own workflow inside it. I am already thinking about a customer onboarding system.

Being able to migrate linked records and attachments instead of only importing flat spreadsheets is a really valuable detail in my view. How much manual cleanup is typically needed after moving a more complex Airtable setup into Teable?

I moved from Airtable to self-hosted Teable 2 years ago, happy to see Teable back on Product Hunt.

The product feels much more opinionated now: not just flexible tables, but a clear system for running business workflows. The interesting part is that the new direction does not abandon the table model that attracted people in the first place. It builds workflows and apps on top of it. That continuity makes the evolution feel earned rather than like an AI rebrand.