Local-First AI Application SDK

Developers struggle to build local AI apps across desktop and mobile without stitching together multiple tools. A universal JavaScript/TypeScript SDK that simplifies local AI development. Target: developers building offline-first AI applications.

Local-first AI is gaining real traction as on-device model inference becomes practical — Apple's Core ML push, the rise of ONNX Runtime Web, and models like Phi-3 and Gemma running on consumer hardware have created genuine developer demand that didn't exist 18 months ago. The closest competitor is LangChain.js combined with Transformers.js, which most developers are already stitching together manually — exactly the pain this targets. The $1k–10k/mo revenue band is plausible for a paid SDK tier or hosted tooling layer, but only if the core abstraction is genuinely stable; devtools in this space commoditize fast as framework authors absorb the functionality. The biggest risk is that the major JS runtimes and AI framework maintainers (Hugging Face, Microsoft) close the gap themselves before any meaningful user base forms.