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Builder Kit

Builder Kit is a high-performance repository of curated system prompts and UI modules for building AI SaaS products. It provides a standardized way to manage prompts for Claude, GPT, and other models, alongside reusable frontend components. Use Builder Kit to accelerate your development, learn from real-world examples, and assemble high-converting SaaS flows with proven patterns.


Features

  • Visual editor for building AI SaaS landing pages and flows
  • Prebuilt modules: CTA, Hero, Features, Testimonials, Pricing, and more
  • Customizable UI components and themes
  • Analytics-ready event hooks and A/B testing support
  • Easy integration with your backend or authentication system
  • Responsive design and mobile optimization
  • One-click preview and deploy

Installation

  1. Clone this repository:
    git clone https://github.com/your-org/builder-kit.git
    cd builder-kit
  2. Install dependencies (if applicable):
    npm install
    # or
    yarn install

Usage

  1. Start the Builder UI:
    npm run dev
    # or
    yarn dev
  2. Build your landing page:
    • Drag and drop components (Hero, CTA, Features, etc.)
    • Edit text, images, and styles in the visual editor
    • Integrate CTAs for signup, demo, or contact actions
  3. Preview and deploy:
    • Use the preview button to test responsiveness
    • Deploy with one click or export code for your stack

Modules

  • CTA Module: Reusable call-to-action components for driving conversions
  • Landing Page Guide: Step-by-step instructions and best practices for building high-converting landing pages

Example

Here’s a sample landing page structure using Builder Kit components:

<LandingPage>
  <Hero title="AI SaaS for Everyone" />
  <Features items={featuresList} />
  <CTAButton text="Get Started" />
  <Testimonials data={testimonials} />
  <Pricing plans={pricingOptions} />
</LandingPage>

Contributing

Contributions are welcome! Please read our Contributing Guide and Code of Conduct before getting started.


License

This project is licensed under the MIT License.

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