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Shape your data

Shape the application once. Let the backend follow.

Describe the people, products, orders, projects, or content your application needs. Daptin turns that shared model into a backend your whole product can build on.

See what it changes Technical guide ↗

Data models in a product

Name the things your product knowsCustomers, projects, orders, content

Connect them the way the business worksA customer owns orders; a project has members

Use the model everywhereScreens, permissions, files, actions, and reports

One model becomes the shared backend context

01Start from your product languageModel real business ideas instead of hand-writing plumbing.

02Keep relationships visibleConnected records stay understandable as the product grows.

03Change one source of truthThe backend follows deliberate model changes instead of drifting across services.

Why it matters

Your product should not have five different versions of the same idea.

A customer may appear in an API, an admin screen, a file bucket, a permission rule, and an automation. When each surface defines that customer separately, small changes become coordination projects.

Daptin starts with one description of the records your product cares about and how they relate. That model becomes the common context for data access, administration, files, actions, live updates, and connected services.

The result is not merely a generated database. It is a backend where new capabilities already understand the same customers, projects, ownership, and relationships.

Move from idea to usable structure

Create a relational foundation without first building migrations, CRUD handlers, and an admin surface by hand.

Keep product rules close to the data

Validation, relationships, defaults, and access begin with the model, so important rules are less likely to scatter.

Grow without losing the map

Stable public record identities and explicit relationships make the system easier to understand as clients and workflows multiply.

How it fits

Part of one connected backend.

Data models does more when it can reuse the records, people, access rules, and workflows already in your application.

Step 1Describe

Define records, fields, validation, and relationships in YAML or JSON.

Step 2Create

Daptin prepares the relational structure and gives records stable public identities.

Step 3Use

APIs and administration work from the same running model.

Step 4Extend

Attach permissions, files, actions, events, and services without remodelling the product.

What it enables

Use it in products people recognize.

Start from the experience you want to create; the backend capability supports the work behind it.

Customer portal

Customers, teams, subscriptions, requests, and documents share one model.

Operations system

Jobs, locations, equipment, checklists, and owners stay connected.

Content product

Authors, collections, articles, media, and publication state become one graph.

Connected by design

Build the next part without starting over.

These capabilities share the same application context, so each one makes data models more useful.

Know the boundary

What Daptin leaves in your hands.

Daptin gives the model a running backend, but it does not decide your product vocabulary for you. Good names, relationships, validation, and migration choices still require deliberate product design.

Understand the operating responsibility →

Build from one foundation

Make data models part of the product—not another disconnected service.

Run Daptin locally, explore the live administration surface, and follow one complete application path.

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