Boilerplate for quickly building AI products.
StartKit.AI is a Node.js boilerplate for building AI-powered SaaS products. It provides pre-built REST API routes for AI functionality, user authentication (license keys and magic-link sign-in), Stripe or Lemon Squeezy payment integration with subscription webhooks and product provisioning, transactional email via Resend, and API usage limits and monitoring. It supports multiple AI providers (OpenAI, Anthropic, Groq, and self-hosted Llama models) with fallback and retry logic to switch providers if one is unavailable, and includes a Pinecone-based vector database setup for document embeddings and retrieval-augmented generation, allowing users to upload PDFs and other documents to chat with or analyze. The package includes React and Tailwind demo apps covering chat, PDF, and image use cases, along with an admin dashboard.
It is aimed at developers building AI SaaS products or "AI wrapper" applications who want to skip building common infrastructure (authentication, billing, email, API scaffolding) from scratch. It is sold as a one-time purchase with a perpetual license usable across multiple projects, available in Starter ($149) and Growth ($249) tiers, both including source code, one year of updates, and support; a Concierge tier (starting at $7,995) provides custom development of a market-ready SaaS app built to the buyer's specification, including up to three custom AI features and deployment to DigitalOcean. Documentation covers setup tutorials such as building a ChatGPT clone, a Telegram chatbot, and deployment to DigitalOcean.
The Starter plan is $149 and the Growth plan is $249, both one-time payments with 1 year of updates included. A Concierge custom-build plan starts at $7995.
It is a one-time payment that grants a perpetual license usable on as many projects as you like, with 1 year of updates included.
It is a Node.js boilerplate with a React and Tailwind frontend.
It supports OpenAI, Anthropic, Groq, or self-hosted Llama3.1, and can switch between providers with fallbacks.
No AI experience is required; the docs include detailed tutorials such as building a ChatGPT clone, a Telegram chatbot, and deploying to DigitalOcean.
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