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• 🧑‍💻 Technology Stack
• 🔍 Context
• 💡 Current Solution
• 🗓️ Development Roadmap

🧑‍💻 Technology Stack

JavaScript/TypeScript, React, Remix, Vite, Tailwind, Hydrogen, Three.js, Rhino3dm.js, Rhino Compute, Grasshopper, RhinoCommon, C#, Node.js, ngrok, Google Compute Engine

🔍 Context

Traditional product customization platforms produce simplistic parameter adjustments that fail to leverage sophisticated parametric design intelligence, preventing designers from offering meaningful personalization while maintaining creative control.

1. User Accessibility: Complex parametric design tools remain locked behind professional software barriers, preventing everyday users from accessing the geometric intelligence and design sophistication that these systems offer for product customization
2. Platform Integration: E-commerce systems operate independently from parametric design workflows, creating a disconnect where customization cannot seamlessly translate into transactions and manufacturing specifications
3. Consumer Reach: Professional parametric tools like Grasshopper have no direct pathway to reach everyday users, requiring designers to abandon sophisticated design logic when creating consumer-facing products
4. Intent-to-Production: Customer preferences cannot directly generate production files through parametric systems, requiring manual intervention rather than automated user-to-fabrication workflows

💡 Current Solution

1. Senibina.Supply ⇒ POC
1. Integrated architecture combining Rhino.Compute processing with Hydrogen frontend, enabling real-time product customization and user-intent-to-fabrication workflows for 3D printing applications
2. Senibina.Supply ⇒ MVP
1. Multi-fabrication platform expanding parametric intelligence across digital manufacturing including laser cutting and CNC, with enhanced UI/UX for customization and consumer accessibility

🗓️ Development Roadmap

1. Research Impact: Establishes a methodology for democratizing parametric design in consumer product customization, bridging professional computational tools with e-commerce platforms through direct practitioner-led development. Proves that Rhino.Compute can be made accessible to everyday users while preserving design authority, creating a scalable framework for multi-fabrication applications.
2. Technical Takeaway: Demonstrates that combining industry tools with full-stack development can break down barriers between sophisticated parametric design systems and everyday users. Establishes streamlined workflows that automatically translate user preferences into fabrication specifications through integrated architectural and programming approaches, addressing fundamental gaps in product customization.

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