Full-Stack Developer for 3D WebGL/AI Web App
Budget: $25 – $50 USD
Looking for a cracked Full-Stack Dev (3D WebGL + AI) for an MVP
I’m looking for a heavy-hitting full-stack dev who can help build out the MVP for a new interactive web app. It’s a mix of interactive 3D spaces, real-time mechanics, and AI workflows.
Just to be clear upfront: This is an MVP-first build. I've got the budget locked down for this initial phase to get the core framework live and validated. Once we ship this, we'll be rolling right into the next phases for feature expansions and deeper integrations.
The Benchmark
We're aiming for a super polished, premium UX. If you want an idea of the frontend performance and smooth 3D asset integration I'm looking for, think of something like Huly.io. Everything needs to feel incredibly snappy, responsive, and look great without tanking browser performance.
What you'll be doing (MVP Scope):
Spining up the main interactive 3D web scene (handling glTF/glb assets, smooth camera work, and responsive canvas scaling).
Hooking up LLM/Generative AI APIs on the backend with clean streaming data.
Building out fast, low-latency APIs and WebSockets to handle real-time user inputs and state changes.
Keeping things optimized so the 3D canvas doesn't choke mobile devices or block rendering.
The Stack we're thinking:
3D / WebGL: Three.js, React Three Fiber (R3F), or Spline.
Backend: Python (FastAPI/Django) or Node.js. Need someone who knows how to design clean, fast APIs.
AI: OpenAI, Anthropic, DeepSeek, or custom agentic setups.
Performance: You know how to compress meshes (Draco), optimize textures, and handle lazy loading like a pro.
Project Info:
Phase: MVP Foundation
Budget: Scoped for the MVP milestone (with room to grow for the next feature drops).
Timeline: Hit me with your realistic timeline for an MVP like this.
To Apply:
Don't copy-paste a massive generic proposal. Just send over:
Links to live web apps, games, or interfaces you've actually built that use interactive 3D (Three.js, R3F, Spline, etc.).
A quick sentence on how you keep backend/API latency low when streaming AI data.
Your GitHub or a repo showing how you structure your full-stack code.
I’m looking for a heavy-hitting full-stack dev who can help build out the MVP for a new interactive web app. It’s a mix of interactive 3D spaces, real-time mechanics, and AI workflows.
Just to be clear upfront: This is an MVP-first build. I've got the budget locked down for this initial phase to get the core framework live and validated. Once we ship this, we'll be rolling right into the next phases for feature expansions and deeper integrations.
The Benchmark
We're aiming for a super polished, premium UX. If you want an idea of the frontend performance and smooth 3D asset integration I'm looking for, think of something like Huly.io. Everything needs to feel incredibly snappy, responsive, and look great without tanking browser performance.
What you'll be doing (MVP Scope):
Spining up the main interactive 3D web scene (handling glTF/glb assets, smooth camera work, and responsive canvas scaling).
Hooking up LLM/Generative AI APIs on the backend with clean streaming data.
Building out fast, low-latency APIs and WebSockets to handle real-time user inputs and state changes.
Keeping things optimized so the 3D canvas doesn't choke mobile devices or block rendering.
The Stack we're thinking:
3D / WebGL: Three.js, React Three Fiber (R3F), or Spline.
Backend: Python (FastAPI/Django) or Node.js. Need someone who knows how to design clean, fast APIs.
AI: OpenAI, Anthropic, DeepSeek, or custom agentic setups.
Performance: You know how to compress meshes (Draco), optimize textures, and handle lazy loading like a pro.
Project Info:
Phase: MVP Foundation
Budget: Scoped for the MVP milestone (with room to grow for the next feature drops).
Timeline: Hit me with your realistic timeline for an MVP like this.
To Apply:
Don't copy-paste a massive generic proposal. Just send over:
Links to live web apps, games, or interfaces you've actually built that use interactive 3D (Three.js, R3F, Spline, etc.).
A quick sentence on how you keep backend/API latency low when streaming AI data.
Your GitHub or a repo showing how you structure your full-stack code.