Story
A type-safe, realtime collaborative Graph Database in a CRDT
1 report
1 website
1 discussion
Latest report
Overview
Plane route demo Global airline routes demo Load a snapshot of real airline routes into the graph and query it with TypeScript. Live demo Add your face to the wall Powered by @codemix/graph and @codemix/y-graph-storage â a real graph database, synced via a Yjs CRDT across every open tab. Add yourself, rearrange people, draw connections. Installation Install the package from npm â no native depende...
Summary from codemix.com.
Reports
One report so far. Additional coverage will appear here when it is linked to this story.
Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · codemix.com
Historical count: 5 · 5 saved in sample · Historical sample
Analysis ready
Read this discussion’s reaction
Based on 5 sampled comments from this thread. Analyzed 2026-04-21.
- Praise: The integration of a graph database with type safety in TypeScript could enhance developer experience by ensuring schema consistency and reducing runtime errors.
- Praise: Using Cypher for querying offers significant advantages in terms of ease of writing complex queries compared to traditional SQL, which can streamline development for graph-based applications.
- Praise: The ability to run the graph database in the browser and on cloud platforms like Cloudflare Workers demonstrates a flexible approach to deployment, making it accessible for various use cases.
- Concern: Concerns about the performance of a graph database implemented in TypeScript highlight potential challenges in scalability and sharding, which could limit its effectiveness for large datasets.
- Concern: The complexity of using multiple languages and frameworks (Gremlin, Cypher, Yjs, Zod) raises questions about the practicality and maintainability of the system, potentially leading to confusion among developers.
- Concern: There is skepticism regarding whether LLMs can effectively utilize the information stored in graph databases, indicating a gap in current AI capabilities that could hinder practical applications.