LinkedRecords makes all of this possible. It's not just another BaaS - it's a fundamentally different architecture for building collaborative applications.
LinkedRecords is a Backend-as-a-Service that you can connect to directly from your single-page application - no backend code required. Think of it as a database you can call directly from your React app, with authorization built in and real-time collaboration out of the box.
You can use any OpenID Connect provider (Auth0, Keycloak, etc.) for authentication, so you don't need to implement login flows. Authorization is built into the data model itself - when you create data, you specify who can access it. And real-time collaboration uses CRDT and Operational Transform, so concurrent edits merge instead of overwriting each other.
If you've heard of local-first tools like Automerge, Yjs, or Replicache - LinkedRecords is different. The key distinction is where data lives and who enforces authorization.
| Aspect | Local-First | LinkedRecords |
|---|---|---|
| Data lives | On the client | On the server |
| Works offline | Yes | No |
| Authorization | Client-side or sync-layer | Server-enforced |
Choose local-first when users need to work offline or instant local response is critical.
Choose LinkedRecords when you need server-enforced authorization, central governance over data, the BYOB model where customers control their backend, or audit trails that require server-side logging.
The difference is conceptual: local-first optimizes for offline capability, while LinkedRecords optimizes for a server-authoritative state with built-in authorization - making it well suited for enterprise SaaS.
Traditional SaaS has a problem: the vendor controls your data.
When you use a typical SaaS application, the vendor operates the complete stack - the frontend, the backend, and the database where your data lives. Your business data sits on infrastructure you don't control, in a jurisdiction you might not have chosen.
LinkedRecords enables a different model: Bring Your Own Backend (BYOB).
How it works:
Why this matters:
As AI coding assistants become standard development tools, the architecture of your backend determines how safely and effectively these tools can work with it.
Traditional BaaS platforms separate authorization from data operations:
LinkedRecords embeds authorization directly in data operations:
The secure default is automatic. If you don't specify permissions, only you (the creator) can access the data. There's no separate rules file to forget about.
This means:
The triplestore pattern uses (subject, predicate, object) - the same structure as natural language sentences:
| Natural Language | LinkedRecords Fact |
|---|---|
| "Alice is a member of Engineering" | [alice, '$isMemberOf', engineering] |
| "The document belongs to Project X" | [document, 'belongsTo', projectX] |
| "Marketing can read the report" | [marketing, '$canRead', report] |
| "Bob is accountable for this file" | [bob, '$isAccountableFor', file] |
This semantic structure has potential benefits for AI-assisted development:
belongsTo, assignedTo, partOf) - only $-prefixed predicates are reserved for authorization$ predicates ($canRead, $canAccess, $isMemberOf, etc.) reduces the surface area for security errorsWhen an AI assistant works with LinkedRecords, it can understand and verify permissions directly from the code - no need to cross-reference separate rule files.
With LinkedRecords, your entire application is frontend code. No backend routes, no database queries, no sync logic, no state management boilerplate. You create facts, create attributes, query attributes - everything is reactive and declarative.
This matters for AI agents:
Traditional full-stack applications split logic across frontend components, API routes, database models, and authorization config files. An AI agent must read and correlate all of these to make safe changes. With LinkedRecords, the relevant code is co-located - what you see is what you get.
Note: While the alignment between triple-based facts and natural language structure suggests advantages for LLM comprehension, this remains a hypothesis based on the semantic similarities. Real-world validation through broader adoption and systematic evaluation will determine the actual impact on AI-assisted development workflows.
Most BaaS platforms offer "real-time sync" - but they use last-write-wins conflict resolution. When two users edit the same data simultaneously, one person's changes are silently overwritten.
LinkedRecords provides true collaborative editing:
| Data Type | Algorithm | What It Means |
|---|---|---|
| KeyValue (JSON) | CRDT | Concurrent edits to different fields merge automatically |
| LongText | Operational Transform | Character-by-character collaboration like Google Docs |
| Blob | Versioned | Binary files maintain version history |
This enables building applications like:
Building a collaborative React application traditionally requires significant infrastructure:
What you need to build yourself:
With LinkedRecords, you skip all of that.
The useKeyValueAttributes hook handles everything:
To create or modify data:
No backend to build. No API endpoints. No state management library. No WebSocket code.
Your React components simply declare what data they need using facts. LinkedRecords handles persistence, synchronization, real-time updates, and multi-user collaboration.
In most systems, a developer defines universal rules that apply to all users. In LinkedRecords, users define who can access their own data.
This model:
In traditional architectures, data is siloed by application. Your project management app has its own database. Your document editor has another. Your calendar has a third. Even if they're all about the same project and the same team, the data doesn't connect.
LinkedRecords flips this model: data is scoped to teams, not applications.
What this enables:
Multiple applications can connect to the same LinkedRecords instance and work with the same data:
Reusable components across applications:
Since data follows a consistent pattern (facts and attributes), you can build components that work in any application:
Why this matters:
This is a fundamentally different way of thinking about applications. Instead of each app being a walled garden with its own data, apps become lenses through which you view and manipulate your data. The data is yours, stored on your LinkedRecords instance, accessible to whatever tools you choose to use.
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