How Dezoko Built FireDraw to Make Firestore Databases Easy to See, Share and Ship
Developer Tools / SaaS
FireDraw
Firestore databases get hard to understand as they grow. We built FireDraw, a shared visual designer that turns a database's structure into a clear diagram and then into ready-to-use code.
3,000+
Registered users
Top 10
On Product Hunt at launch
5
Programming languages for exported code
Table of Contents
Client: FireDraw
FireDraw is a product designed, built and launched by Dezoko.
Problem
- Firestore data sits in nested layers of collections and records that are hard to picture
- As projects grew, nobody could see how the different parts of the data connected
- New developers struggled to learn how an existing project's data was organized
- Database design discussions happened in scattered docs and whiteboard photos
- Design decisions rarely made it cleanly into the finished app
- Teams were spending more time explaining their database than building on it.
Solution Exploration
- Keeping database notes in shared documents and spreadsheets
- Drawing one-off diagrams in general-purpose whiteboard tools
- Building a dedicated, collaborative Firestore designer connected to real databases and app code
How Dezoko Helped
- Visual editor: Every part of the database laid out on one canvas, with automatic tidy layouts and quick search for large projects.
- Three ways to start:
- Design from scratch or begin with a ready-made template.
- Describe the app in plain language and let AI create a first draft to edit.
- Connect an existing Firebase project and get a diagram of its real structure.
- Team collaboration: Several people can edit the same diagram at once, with project roles and a full history of changes.
- From design to code: Export diagrams as images or data files, and generate ready-made code in Dart, TypeScript, Go, Python and Java.
- Works with AI assistants: Code editors and AI assistants can read the database design directly, so their help matches the real data.
Collaboration and Control
- Project roles that control who can view and edit
- Version history to review and undo design changes
- A live view of the real database, imported straight from Firebase
- A shared canvas the whole team discusses and updates together
Key Outcomes
- More than 3,000 developers have registered
- Ranked in the top 10 on Product Hunt at launch
- Teams get one shared, always-current picture of their database
- Design decisions carry straight into code instead of being re-typed by hand
- AI assistants can use the design to help write code, security rules and documentation
How it works
STEP 1
Design or import
STEP 2
Collaborate live
STEP 3
Review changes
STEP 4
Export as code
STEP 5
Connect AI assistants
How We Built It
We built FireDraw as a fast, collaborative web app in three main parts:
A Head Start on Every Project
- Existing projects connect to Firebase, and FireDraw draws a diagram of the real database.
- New projects can start from a plain-language description that AI turns into an editable design.
- Either way, the team ends up with a normal diagram they can keep refining.
From Diagram to Working Code
- Diagrams export as images (PNG, SVG) or data files (JSON).
- Ready-made code is generated in Dart, TypeScript, Go, Python and Java.
- Code editors and AI assistants can read each design directly as a reference.
Choices That Shaped the Product
- A living team asset: We treated the diagram as something the team keeps using, not a one-off drawing, which is why it has roles and version history.
- Design that reaches the code: Exports and generated code connect the design to the finished app.
- Built for real projects: Firebase import supports existing databases, not only brand-new designs.
Built With
- Web app: Next.js
- Server: Node.js
- Database: Firestore
- Live collaboration: WebSockets
- AI assistant access: Model Context Protocol (MCP)
Business Impact
- 3,000+ registered users
- Top 10 on Product Hunt at launch
- Ready-made code in 5 languages saves developers from writing it by hand
- Live Firebase import keeps diagrams in line with the real database