RanDoseru
Building full-stack apps as easy as ice cream 🍦
Created on 26th February 2026
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RanDoseru
Building full-stack apps as easy as ice cream 🍦
The problem RanDoseru solves
As modern technology evolves, building full-stack applications is becoming increasingly complex. Developers must learn multiple tech stacks, frameworks, syntaxes, and tools. While AI can assist, it often requires extensive context for small changes and limits full developer control over the final output.
Our project simplifies end-to-end web development.
With our platform, you can design the UI, build the backend, manage routing, connect pages, and deploy, all visually. Simply edit elements directly in the interface. To connect pages or backend actions, drag and link action points together, similar to node-based workflows like n8n.
You can connect your GitHub to export and manage your code, or download the complete project to run it anywhere.
We use DOM manipulation techniques to generate production-ready code in parallel, without relying on AI. This ensures the code is reliable, accurate, and fully under the developer’s control.
Challenges we ran into
Building a visual full-stack development platform came with several technical challenges.
One of the biggest hurdles was dynamic routing. Since pages are connected visually through node-like links, we had to design a system that automatically generates clean and scalable routing logic in the background without breaking navigation flow.
Another major challenge was real-time DOM-to-code synchronization. Every UI change needed to instantly reflect in structured, production-ready code. Maintaining consistency between visual edits and generated backend/frontend logic required careful architecture.
Handling state management across connected nodes was also complex. When users link pages or backend actions, data flow had to remain predictable and error-free.
We also faced difficulties in:
- Ensuring exported code remains clean and developer-readable
- Managing backend connections visually without creating broken endpoints
- Maintaining performance while generating code in parallel
- Keeping everything AI-free while still making the experience intelligent and automated
Overcoming these challenges helped us build a reliable, fully controlled, end-to-end development system.
Tracks Applied (1)
Grand Prize
Technologies used