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?
@ryancheng Thank you! And yes—the AI goes beyond moving rows. It can understand messy source data, infer schemas and field types, and help map relationships before building the workflow. You can still review and adjust everything, but you’re no longer starting from a blank mapping screen.
@ryancheng From an ops perspective, this means less setup work and fewer mistakes. The AI handles most of the mapping first, and you just review and adjust anything that needs attention before moving the data.
@ryancheng Great question! Teable AI can identify schemas and field types even when the source data is messy, then map them automatically. You can adjust anything if needed.
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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
@alex_watson2110 Exactly. For teams that care about data ownership and infrastructure control, being able to migrate to Teable and self-host it is a powerful option. Thanks for the support!
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.
@itsluo You really get what we’ve been building. ❤️
Three years, thousands of customers, and countless workflows later—Teable’s new AI can now create the kind of custom apps and automations we once thought were impossible.
And the best part? Tables are still at the heart of it all.
Getting work done has never been this easy. We’re so glad to have you back with us on Product Hunt! 🚀
@itsluo This means a lot coming from someone who’s been self-hosting Teable for two years 🙌 Users like you helped us get here. Would love to hear what you’re running on Teable today!
@itsluo Thanks for sticking with Teable for the past two years. Hearing that this evolution feels natural from a longtime self-hosted user means a lot to us.
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.
@tammytan516 You have to try it! Turn that customer onboarding idea into a working system and see how surprisingly effortless it feels. We think you’re in for a refreshingly smooth experience.
@tammytan516 Customer onboarding is a great use case 🙌 You can keep customer info, tasks, approvals, and follow-ups all in one place. Would love to see what you build!
@tammytan516 Love that this got you thinking about a real workflow right away. Customer onboarding would be a fun one to build in Teable. Let us know how it goes!
@andy2026 You absolutely get it. Teable is the all-in-one workspace where everything data work needs—data, apps, workflows, and AI—comes together and actually runs.
@andy2026 Marketing's hard part isn’t getting more data, but it’s keeping campaigns, leads, and follow-ups connected. That’s where Teable can really help.
@andy2026 Exactly. Teable brings data, apps, workflows, and AI into one system, so marketing teams can run campaigns, emails, approvals, and reporting in one place.
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.
@erok_chen Glad that came through! We picked these examples because they’re the everyday tasks teams actually spend time on. If there’s another workflow you’d like to see, let us know.
@buzzy_jade Yes! The table is the data foundation—and Teable can turn it into a real app with interfaces, workflows, permissions, and automations on top. Same data, no rebuild.
@buzzy_jade You can start with a table, then turn it into something your team actually uses—like a CRM, landing page or customer portal. Everything stays connected to the same data.
@buzzy_jade Yep 😄 Your table can power the app directly, and you can shape the interface around how your team actually works.
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the "build anything that fits your business 100%" part is the ambitious bit - when the AI spins up a custom app from your tables, does it set access/permission rules on its own or is that still a manual pass per app?
@sabber_ahamed Permissions are part of the system the AI builds within—not an afterthought bolted onto the generated app. Agents operate inside defined access boundaries, and every action is logged and traceable.
You still retain final control and can review or refine access rules for each app.
@sabber_ahamed Sabber, Teable AI can handle the access setup as part of building the app, and you can review or adjust it for each app.
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Congratulations on the launch! natural language application building has huge potential. can multiple team members collaborate with the same AI agent simultaneously? how does collaboration work in shared workspaces?
@avery_thompson2 Absolutely. Teable is designed for shared workspaces, not isolated one-person AI sessions. Team members collaborate around the same live data, apps, and workflows, while agents can have distinct responsibilities and permission scopes. Every action is logged, so the team can see what happened, who initiated it, and what the agent changed. The goal is shared AI context without sacrificing control or accountability.
@avery_thompson2 Thank you! Shared workspaces are central to Teable. Team members work with Teable AI around the same live data, apps, and workflows, with permissions and a clear history of every change.
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"AI workflows" built on top of spreadsheet data is the pitch but the interesting question is what the AI layer is actually doing, like is it generating formulas, automating data entry, running analysis on the data, or orchestrating multi-step workflows that call external APIs? Those are pretty different products and the listing doesn't distinguish between them, curious which one is actually the core use case Teable users are building toward.
@ansari_adin Ansari, it covers them all. Teams describe the business process they need, and Teable AI works across the data, automations, integrations, and custom apps needed to make it run. A lead workflow, for example, can include importing data, enrichment, routing, follow-up emails, and a dashboard in the same workspace.
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@jocky The lead workflow example is concrete enough to understand the scope, describing a process and having Teable wire together the data, automations, and dashboard in one place is a meaningful pitch for teams tired of maintaining five separate tools.
Replies
Athena by Shoplazza
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?
Teable
@ryancheng Thank you! And yes—the AI goes beyond moving rows. It can understand messy source data, infer schemas and field types, and help map relationships before building the workflow. You can still review and adjust everything, but you’re no longer starting from a blank mapping screen.
Teable
@ryancheng From an ops perspective, this means less setup work and fewer mistakes. The AI handles most of the mapping first, and you just review and adjust anything that needs attention before moving the data.
Teable
@ryancheng Great question! Teable AI can identify schemas and field types even when the source data is messy, then map them automatically. You can adjust anything if needed.
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
Teable
@alex_watson2110 Yes, you don’t have to choose between powerful software and control of your own data. Full capability, full ownership.
Teable
@alex_watson2110 Exactly. For teams that care about data ownership and infrastructure control, being able to migrate to Teable and self-host it is a powerful option. Thanks for the support!
Tycoon AI
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.
Teable
@itsluo You really get what we’ve been building. ❤️
Three years, thousands of customers, and countless workflows later—Teable’s new AI can now create the kind of custom apps and automations we once thought were impossible.
And the best part? Tables are still at the heart of it all.
Getting work done has never been this easy. We’re so glad to have you back with us on Product Hunt! 🚀
Teable
@itsluo This means a lot coming from someone who’s been self-hosting Teable for two years 🙌 Users like you helped us get here. Would love to hear what you’re running on Teable today!
Teable
@itsluo Thanks for sticking with Teable for the past two years. Hearing that this evolution feels natural from a longtime self-hosted user means a lot to us.
V2Fun
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.
Teable
@tammytan516 You have to try it! Turn that customer onboarding idea into a working system and see how surprisingly effortless it feels. We think you’re in for a refreshingly smooth experience.
Teable
@tammytan516 Customer onboarding is a great use case 🙌 You can keep customer info, tasks, approvals, and follow-ups all in one place. Would love to see what you build!
Teable
@tammytan516 Love that this got you thinking about a real workflow right away. Customer onboarding would be a fun one to build in Teable. Let us know how it goes!
Marketing ops is a data problem. This gets it.
Teable
@andy2026 You absolutely get it. Teable is the all-in-one workspace where everything data work needs—data, apps, workflows, and AI—comes together and actually runs.
Teable
@andy2026 Marketing's hard part isn’t getting more data, but it’s keeping campaigns, leads, and follow-ups connected. That’s where Teable can really help.
Teable
@andy2026 Exactly. Teable brings data, apps, workflows, and AI into one system, so marketing teams can run campaigns, emails, approvals, and reporting in one place.
ViewCoder
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.
Teable
@erok_chen That’s exactly the point. Teable help get the work done. Contracts, approvals, reports, emails: real operations, not AI party tricks.
Teable
@erok_chen Glad that came through! We picked these examples because they’re the everyday tasks teams actually spend time on. If there’s another workflow you’d like to see, let us know.
Teable
@erok_chen Appreciate that. The real test for us is whether AI can take a recurring business task all the way to completion.
Buzzy
Wait—the table can become the app too?
Teable
@buzzy_jade Yes! The table is the data foundation—and Teable can turn it into a real app with interfaces, workflows, permissions, and automations on top. Same data, no rebuild.
Teable
@buzzy_jade You can start with a table, then turn it into something your team actually uses—like a CRM, landing page or customer portal. Everything stays connected to the same data.
Teable
@buzzy_jade Yep 😄 Your table can power the app directly, and you can shape the interface around how your team actually works.
the "build anything that fits your business 100%" part is the ambitious bit - when the AI spins up a custom app from your tables, does it set access/permission rules on its own or is that still a manual pass per app?
Teable
@sabber_ahamed Permissions are part of the system the AI builds within—not an afterthought bolted onto the generated app. Agents operate inside defined access boundaries, and every action is logged and traceable.
You still retain final control and can review or refine access rules for each app.
Teable
@sabber_ahamed Sabber, Teable AI can handle the access setup as part of building the app, and you can review or adjust it for each app.
Congratulations on the launch!
natural language application building has huge potential. can multiple team members collaborate with the same AI agent simultaneously? how does collaboration work in shared workspaces?
Teable
@avery_thompson2 Absolutely. Teable is designed for shared workspaces, not isolated one-person AI sessions. Team members collaborate around the same live data, apps, and workflows, while agents can have distinct responsibilities and permission scopes. Every action is logged, so the team can see what happened, who initiated it, and what the agent changed. The goal is shared AI context without sacrificing control or accountability.
Teable
@avery_thompson2 Thank you! Shared workspaces are central to Teable. Team members work with Teable AI around the same live data, apps, and workflows, with permissions and a clear history of every change.
"AI workflows" built on top of spreadsheet data is the pitch but the interesting question is what the AI layer is actually doing, like is it generating formulas, automating data entry, running analysis on the data, or orchestrating multi-step workflows that call external APIs? Those are pretty different products and the listing doesn't distinguish between them, curious which one is actually the core use case Teable users are building toward.
Teable
@ansari_adin Ansari, it covers them all. Teams describe the business process they need, and Teable AI works across the data, automations, integrations, and custom apps needed to make it run. A lead workflow, for example, can include importing data, enrichment, routing, follow-up emails, and a dashboard in the same workspace.
@jocky The lead workflow example is concrete enough to understand the scope, describing a process and having Teable wire together the data, automations, and dashboard in one place is a meaningful pitch for teams tired of maintaining five separate tools.