StartKit.AI – Build AI Startups Faster ( boilerplate to ship your AI SaaS )
StartKit.AI is a comprehensive boilerplate designed to help developers and product teams ship AI-powered SaaS applications quickly. It provides ready-to-use modules, integrations, and deployment scaffolding that let you go from idea to a market-ready AI product with minimal setup. The platform is vendor-agnostic in practice, capable of routing requests to OpenAI, Anthropic, Groq, Llama, or self-hosted models, and it includes a complete SaaS app with authentication, payments, and customer-facing features.
Key Capabilities
- End-to-end SaaS boilerplate with pre-built demos (Chat, PDF, Images) and 5 AI demos to accelerate prototyping
- Multi-provider AI access: switch seamlessly between providers (OpenAI, Claude, Groq, Llama) with advanced retries and fallbacks
- Text and document handling: allow users to upload PDFs and other documents as embeddings for RAG (Retrieval-Augmented Generation)
- Custom AI models: integrate and deploy custom AI models alongside hosted options
- Fully-functional app ready-to-run: API routes, authentication, user management, usage monitoring, admin dashboard
- Embeddings and RAG: pre-configured vector database setup (Pinecone) for robust retrieval
- Payment and subscriptions: Stripe or Lemon Squeezy integration with webhooks and license-based access
- Licensing and access control: token-based auth, license keys, and per-user usage limits
- Deployability: ready-to-deploy to DigitalOcean (or other hosting), with deployment guidance
- Documentation and tutorials: in-depth docs, guides, and tutorials to accelerate development
- OpenAI-centric but extensible: built with support for multiple AI models and providers, with roadmap for additional models
How It Works
- Choose AI models/providers via the built-in router that automatically handles retries and fallbacks to keep requests alive even if a provider is down.
- Use pre-built REST API routes for common AI functions (chat, embeddings, documents, etc.).
- Upload documents (PDF, DOCX, XLS, etc.) to create embeddings and enable RAG-based chat and analysis.
- Leverage pre-configured Pinecone (or other vector DB) for efficient retrieval-augmented workflows.
- Use the demo apps (Chat, PDF, Images) to jumpstart your product, then extend with your own features and prompts.
- Monetize with built-in payment workflows and license-based access control.
- Deploy to your hosting environment, customize code, and ship to paying customers.
Modules & Features
- Pre-built REST API routes for common AI functionality
- User authentication APIs and license-key authentication
- Vector Database + RAG setup for chat endpoints
- Demo React apps to help you get started quickly
- Easily configurable pricing, payments, and subscriptions (Stripe or Lemon Squeezy)
- Webhooks for subscription updates and usage tracking
- Admin dashboard for user management and usage monitoring
- OpenAI model support with seamless integration for switching providers
- Documentation and tutorials for rapid onboarding
- Ready-to-run boilerplate with server and client code in Node/JS
Use Cases
- Build an AI-powered chat assistant with multi-model backends
- Create document QA and analysis tools using document embeddings and RAG
- Rapidly prototype and launch AI-driven SaaS products for startups and teams
- Provide a market-ready backend and UI for AI features without starting from scratch
Safety & Compliance Considerations
- Follow best practices for model usage, data privacy, and licensing for your deployments
- Ensure proper handling of user data and compliance with relevant regulations depending on your region and use case
Core Features
- Multi-provider AI back-end with automatic retries and fallbacks
- Pre-built SaaS app scaffold with authentication, payments, and admin tools
- Embeddings + RAG support via Pinecone (configurable for other vector stores)
- Demo apps (Chat, PDF, Images) for rapid prototyping
- Document upload support (PDF, DOCX, XLS, etc.) for analysis and chat
- License-based access control and usage monitoring
- Easy deployment to DigitalOcean or other hosting environments
- Comprehensive docs, tutorials, and ongoing updates