Turn your business data into AI workflows and custom apps. Connect any system, migrate any data, and build anything that fits your business 100%.
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🔌 Plugged in
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?
@artem_fedorovich That’s exactly the problem Teable is built to solve—but we’re much more than a database-spreadsheet.
Teable is a complete environment for agents to operate in. Your data, apps, automations, permissions, audit trails, and collaborators all live in one place, backed by real PostgreSQL and mature, production-grade infrastructure. Instead of critical business context being scattered across spreadsheets, automation tools, internal apps, and disconnected AI agents, Teable brings it together into one trusted system.
That means the AI doesn’t work in a vacuum. It understands the live data, permissions, and workflows your team already relies on—and can act across them seamlessly. Complex configurations and automations that once required several tools, integrations, and months of custom development can now be built and operated through one coherent experience.
Our belief is simple: teams shouldn’t have to choose between the flexibility of a spreadsheet, the reliability of a database, and the power of AI agents. Software should adapt to the way your business works, while keeping every change controlled, traceable, and trustworthy.
So yes, Teable can absolutely be your real source of truth—but that’s only the foundation. What we’re really building is the place where your data and agents work together to run the business.
I strongly recommend giving it a try with one of your real team workflows. That’s when Teable truly clicks.
@artem_fedorovich Yes, Teable is designed to be the source of truth. Permissions and audit logs stay with the same data your team uses for apps and automations, so everyone works from one trusted system.
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@artem_fedorovich Version control and audit trails are usually where most visual database tools struggle under team load. Having true granular permission levels is crucial for making it a reliable single source of truth rather than just a pretty front end.
@tehreem_fatima5 Hi Tehreem, you’re spot on. This is where Teable’s granular permissions and audit logs really earn their keep as more people start working in the same base.
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💎 Pixel perfection
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.
@thys_beesman Brandon, this is exactly the kind of complexity we built Teable for. Migration preserves the structure and flags anything that needs attention. Automations also surface issues when the underlying data changes. We’d love for you to stress test it.
@thys_beesman We usually don’t promise a “100% migration.” We aim for 200%: not merely reproducing the old Airtable system, but making it significantly more capable.
Moving rows is the easy part. The real value lives in the relationships—linked records, references, lookups, rollups, formulas, permissions, and the business logic accumulated around them. Teable’s relational model can preserve that connected structure while giving you more powerful ways to reference, query, and operate on it, all backed by real PostgreSQL.
But migration is only the starting point.
Once that relational foundation is in Teable, you can build almost any AI workflow or custom app directly on top of it. Agents can understand and act across customers, contracts, owners, approvals, renewals, and communications—not as disconnected text, but as related business context. They can generate reports, request approvals, send reminders, update records, and power purpose-built applications without forcing you to scatter logic across automation platforms, scripts, databases, and app builders.
So where exact one-to-one legacy behavior makes sense, we reproduce it. Where the old system was constrained by Airtable’s limits, Teable gives you the freedom to rebuild it better.
That’s what we mean by 200% migration: your existing relational knowledge comes with you, but the system that emerges can be far more adaptable, automated, and intelligent than the one you left behind.
Give us your hardest linked-record workflow—not the clean demo base. That’s where Teable’s relational foundation, freely customizable AI workflows, and custom apps begin to unlock possibilities that a conventional migration tool simply cannot.
Report
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?
@artstavenka1 Great question—and this is exactly why the underlying architecture matters.
Every step is logged and traceable, individual actions can be rolled back, and agent permissions can be tightly scoped to control what each agent is allowed to read or change. If something fails mid-run, the agent can inspect the failure, attempt a fix, and continue—instead of leaving you with an unexplained, half-finished result.
And inside a team, multiple agents can collaborate across the same connected data and workflow, each with its own responsibilities and permission boundaries.
So the goal isn’t just to let AI write to your data. It’s to make agent work observable, controllable, recoverable, and collaborative enough for real business operations.
@artstavenka1 Every step is logged and traceable. If something fails along the way, the agent will inspect it, try to fix it, and do its best to finish the job.
GPT-5.6 fundamentally changed what we could build with Teable.
Teable is not just an AI feature layer on top of a spreadsheet. To build a truly agent-driven business workspace, we needed an AI system that could understand complex business context, reason through problems, take actions autonomously, and work across different types of information.
GPT-5.6’s combination of advanced reasoning, agent capabilities, and multimodal intelligence enabled us to build Teable 3.0 as an AI-native business workspace. Agents can understand data, migrate information, create workflows, generate applications, and help teams execute real business processes.
This expanded our vision from building a better spreadsheet into creating a new way for businesses to build and operate software — where anyone can turn ideas into intelligent applications through natural language.
Report
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?
The thing that always sold me on Teable over the Airtable-style tools is that it's real Postgres underneath — your data stays actual SQL you can own and query, not locked in a proprietary spreadsheet blob. Curious how 3.0 handles the AI-workflow side: when an agent builds an app or automation off the data, do you get a deterministic, inspectable step you can audit, or is it prompt-driven each run? That's usually the trust gap for "AI + my business data." Congrats on the launch.
@alexander_shishkov1 Thank you—you’ve identified the exact trust gap we care about.
AI may help build the app or automation, but the result isn’t just a hidden prompt rerun from scratch each time. The workflow is persistent and inspectable, every execution step is logged, and individual actions can be reviewed and rolled back. You can also tightly scope what each agent is permitted to read or change.
For more complex work, multiple agents can collaborate within the same team while keeping clear responsibilities and permission boundaries.
Our principle is simple: AI can be flexible in how it reasons, but its actions on business data must remain visible, controlled, and recoverable. Real PostgreSQL provides the trusted data foundation; Teable adds the operational layer required to let agents work on it safely.
@alexander_shishkov1 Glad the Postgres foundation resonates. The workflow Teable AI creates is saved and inspectable, and each run is logged so teams can review what happened and control what the Agent can access or change.
Introducing Teable 3.0 — The AI Spreadsheet for Business. Teams can build 100% business-fit AI workflows and custom apps, while connecting and migrating any data into one place.
What’s new in Teable 3.0:
Connect & Migrate Anything — Move from Airtable, spreadsheets, files, and other systems into Teable. Data, table structures, attachments, and linked records can be migrated into one AI-ready workspace.
Complex task capabilities — Teable can now handle long-running tasks, such as handle dozens of Excel/CSV files at once, or PDF documents up to 100 pages.
Super Automation — Automate custom workflows that fit your business, from contract expiration reminders to weekly sales reports, Slack updates, approvals, and operational processes.
Custom Apps 100% business-fit — Build dashboards, booking pages, portals, internal tools, and business apps directly on top of your data.
Business-aware Email Agents — Generate and send personalized follow-up emails in bulk using your customer data, business context. Personal inboxes and unsubscribe links are supported.
✨ Whether for small businesses or enterprises, Teable helps teams move beyond traditional spreadsheets and legacy systems into an AI-native way of working.
@bieber_chen Handling 100 page PDFs alongside dozens of CSVs in a single AI workspace is a huge workflow upgrade! The 1-click migration from Airtable is going to save teams so many headache hours. How does Teable maintain data structure accuracy when importing complex linked records from Airtable?
@tehreem_fatima5 Tehreem, thanks! Teable imports the base as a whole, including table structures, linked records, attachments, lookups, and rollups, so those relationships stay connected in the new workspace. Teams can keep working without rebuilding those links manually.
Report
What am I missing? If I have data in a spreadsheet, using the spreadsheet as a db, why would I move the data into Teable? Maybe I am too tired but I don't understand the value prop and the problem this solves. Maybe someone can explain? Thank you!
That’s a completely fair question. If your spreadsheet is personal, relatively small, and mainly used for calculations, you may not need to move it.
The problem appears when the spreadsheet starts running the business: multiple people edit it, records need relationships, access must be controlled, changes must be audited, and reminders, approvals, reports, emails, or custom interfaces have to be built around it. At that point, teams usually glue together more spreadsheets, scripts, automation services, and internal tools—and eventually nobody fully trusts or understands the system.
Teable keeps the familiar table experience but puts real PostgreSQL underneath it. Then it adds relational data, permissions, auditability, automations, custom apps, and AI agents in the same environment.
So the value isn’t “another place to store spreadsheet rows.” It’s turning business data into a trustworthy system that can actively run the workflow around it—without losing the flexibility that made the spreadsheet useful in the first place.
@rusutraiancristian Rusu, I get where you’re coming from. If your spreadsheet already does everything you need, there’s no reason to move it. Teable becomes useful when that same data needs to support a growing team, controlled access, automations, AI workflows, and custom apps.
This looks useful for franchise operations. Each location could submit data through an app while the central team runs approvals, reporting, and exception handling from one source of truth.
@blueeon Perfect Teable use case! Each location gets a simple app tailored to its daily work, while headquarters manages approvals, reporting, and exceptions from one trusted source of truth.
@blueeon You nailed it. Giving each location a focused way to work while keeping the central operation connected is exactly the kind of setup Teable supports well.
Report
From approachable databases to executable ones. Nice shift.
Replies
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?
Teable
@artem_fedorovich That’s exactly the problem Teable is built to solve—but we’re much more than a database-spreadsheet.
Teable is a complete environment for agents to operate in. Your data, apps, automations, permissions, audit trails, and collaborators all live in one place, backed by real PostgreSQL and mature, production-grade infrastructure. Instead of critical business context being scattered across spreadsheets, automation tools, internal apps, and disconnected AI agents, Teable brings it together into one trusted system.
That means the AI doesn’t work in a vacuum. It understands the live data, permissions, and workflows your team already relies on—and can act across them seamlessly. Complex configurations and automations that once required several tools, integrations, and months of custom development can now be built and operated through one coherent experience.
Our belief is simple: teams shouldn’t have to choose between the flexibility of a spreadsheet, the reliability of a database, and the power of AI agents. Software should adapt to the way your business works, while keeping every change controlled, traceable, and trustworthy.
So yes, Teable can absolutely be your real source of truth—but that’s only the foundation. What we’re really building is the place where your data and agents work together to run the business.
I strongly recommend giving it a try with one of your real team workflows. That’s when Teable truly clicks.
Teable
@artem_fedorovich Yes, Teable is designed to be the source of truth. Permissions and audit logs stay with the same data your team uses for apps and automations, so everyone works from one trusted system.
Teable
@tehreem_fatima5 Hi Tehreem, you’re spot on. This is where Teable’s granular permissions and audit logs really earn their keep as more people start working in the same base.
Teable
@thys_beesman Brandon, this is exactly the kind of complexity we built Teable for. Migration preserves the structure and flags anything that needs attention. Automations also surface issues when the underlying data changes. We’d love for you to stress test it.
Teable
@thys_beesman We usually don’t promise a “100% migration.” We aim for 200%: not merely reproducing the old Airtable system, but making it significantly more capable.
Moving rows is the easy part. The real value lives in the relationships—linked records, references, lookups, rollups, formulas, permissions, and the business logic accumulated around them. Teable’s relational model can preserve that connected structure while giving you more powerful ways to reference, query, and operate on it, all backed by real PostgreSQL.
But migration is only the starting point.
Once that relational foundation is in Teable, you can build almost any AI workflow or custom app directly on top of it. Agents can understand and act across customers, contracts, owners, approvals, renewals, and communications—not as disconnected text, but as related business context. They can generate reports, request approvals, send reminders, update records, and power purpose-built applications without forcing you to scatter logic across automation platforms, scripts, databases, and app builders.
So where exact one-to-one legacy behavior makes sense, we reproduce it. Where the old system was constrained by Airtable’s limits, Teable gives you the freedom to rebuild it better.
That’s what we mean by 200% migration: your existing relational knowledge comes with you, but the system that emerges can be far more adaptable, automated, and intelligent than the one you left behind.
Give us your hardest linked-record workflow—not the clean demo base. That’s where Teable’s relational foundation, freely customizable AI workflows, and custom apps begin to unlock possibilities that a conventional migration tool simply cannot.
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?
Teable
@artstavenka1 Great question—and this is exactly why the underlying architecture matters.
Every step is logged and traceable, individual actions can be rolled back, and agent permissions can be tightly scoped to control what each agent is allowed to read or change. If something fails mid-run, the agent can inspect the failure, attempt a fix, and continue—instead of leaving you with an unexplained, half-finished result.
And inside a team, multiple agents can collaborate across the same connected data and workflow, each with its own responsibilities and permission boundaries.
So the goal isn’t just to let AI write to your data. It’s to make agent work observable, controllable, recoverable, and collaborative enough for real business operations.
Teable
@artstavenka1 Every step is logged and traceable. If something fails along the way, the agent will inspect it, try to fix it, and do its best to finish the job.
Teable
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?
Teable
@nico_mandera Just ask GPT-5.6 sol to do it, 0 manual job! check then you can start building a new fully automated AI workflow in Teable !
Teable
@nico_mandera it’s more of a quick check than a cleanup job 😄 Linked records and attachments come along for the ride!
Teable
@nico_mandera Great question! Nico. No manual work is needed, unless you’d like to give everything a quick check before getting started.
CraftStory
The thing that always sold me on Teable over the Airtable-style tools is that it's real Postgres underneath — your data stays actual SQL you can own and query, not locked in a proprietary spreadsheet blob. Curious how 3.0 handles the AI-workflow side: when an agent builds an app or automation off the data, do you get a deterministic, inspectable step you can audit, or is it prompt-driven each run? That's usually the trust gap for "AI + my business data." Congrats on the launch.
Teable
@alexander_shishkov1 Thank you—you’ve identified the exact trust gap we care about.
AI may help build the app or automation, but the result isn’t just a hidden prompt rerun from scratch each time. The workflow is persistent and inspectable, every execution step is logged, and individual actions can be reviewed and rolled back. You can also tightly scope what each agent is permitted to read or change.
For more complex work, multiple agents can collaborate within the same team while keeping clear responsibilities and permission boundaries.
Our principle is simple: AI can be flexible in how it reasons, but its actions on business data must remain visible, controlled, and recoverable. Real PostgreSQL provides the trusted data foundation; Teable adds the operational layer required to let agents work on it safely.
Teable
@alexander_shishkov1 Glad the Postgres foundation resonates. The workflow Teable AI creates is saved and inspectable, and each run is logged so teams can review what happened and control what the Agent can access or change.
Teable
❌ Scattered files.
❌ Overlooked customer follow-ups.
❌ Hard-to-use legacy systems.
❌ Teams struggling to become AI-native.
Introducing Teable 3.0 — The AI Spreadsheet for Business. Teams can build 100% business-fit AI workflows and custom apps, while connecting and migrating any data into one place.
What’s new in Teable 3.0:
Connect & Migrate Anything — Move from Airtable, spreadsheets, files, and other systems into Teable. Data, table structures, attachments, and linked records can be migrated into one AI-ready workspace.
Complex task capabilities — Teable can now handle long-running tasks, such as handle dozens of Excel/CSV files at once, or PDF documents up to 100 pages.
Super Automation — Automate custom workflows that fit your business, from contract expiration reminders to weekly sales reports, Slack updates, approvals, and operational processes.
Custom Apps 100% business-fit — Build dashboards, booking pages, portals, internal tools, and business apps directly on top of your data.
Business-aware Email Agents — Generate and send personalized follow-up emails in bulk using your customer data, business context. Personal inboxes and unsubscribe links are supported.
✨ Whether for small businesses or enterprises, Teable helps teams move beyond traditional spreadsheets and legacy systems into an AI-native way of working.
🚀 Try Teable 3.0: https://teable.ai
Teable
@tehreem_fatima5 Tehreem, thanks! Teable imports the base as a whole, including table structures, linked records, attachments, lookups, and rollups, so those relationships stay connected in the new workspace. Teams can keep working without rebuilding those links manually.
What am I missing? If I have data in a spreadsheet, using the spreadsheet as a db, why would I move the data into Teable? Maybe I am too tired but I don't understand the value prop and the problem this solves. Maybe someone can explain? Thank you!
Teable
@rusutraiancristian
That’s a completely fair question. If your spreadsheet is personal, relatively small, and mainly used for calculations, you may not need to move it.
The problem appears when the spreadsheet starts running the business: multiple people edit it, records need relationships, access must be controlled, changes must be audited, and reminders, approvals, reports, emails, or custom interfaces have to be built around it. At that point, teams usually glue together more spreadsheets, scripts, automation services, and internal tools—and eventually nobody fully trusts or understands the system.
Teable keeps the familiar table experience but puts real PostgreSQL underneath it. Then it adds relational data, permissions, auditability, automations, custom apps, and AI agents in the same environment.
So the value isn’t “another place to store spreadsheet rows.” It’s turning business data into a trustworthy system that can actively run the workflow around it—without losing the flexibility that made the spreadsheet useful in the first place.
Teable
@rusutraiancristian Rusu, I get where you’re coming from. If your spreadsheet already does everything you need, there’s no reason to move it. Teable becomes useful when that same data needs to support a growing team, controlled access, automations, AI workflows, and custom apps.
@jocky @bieber_chen thank you to both of you.
ReadPo
This looks useful for franchise operations. Each location could submit data through an app while the central team runs approvals, reporting, and exception handling from one source of truth.
Teable
@blueeon Perfect Teable use case! Each location gets a simple app tailored to its daily work, while headquarters manages approvals, reporting, and exceptions from one trusted source of truth.
Teable
@blueeon You nailed it. Giving each location a focused way to work while keeping the central operation connected is exactly the kind of setup Teable supports well.
From approachable databases to executable ones. Nice shift.
Teable
@3rdmatter Exactly—your database shouldn’t just store the work, it should finish the work. That’s the shift. 🚀
Teable
@3rdmatter That’s a great way to put it 😄 Less switching between tools, more getting things done in one place.
Teable
@3rdmatter That’s the idea: an approachable database you can actually run your business on.