

Firegeo
Overview :
FireGEO is an open-source SaaS starter designed to quickly build applications with authentication, billing, AI chat, and brand monitoring features. It is based on Next.js 15, TypeScript, and PostgreSQL, and is suitable for developers looking to quickly deploy SaaS services. The product emphasizes zero-configuration setup and automated installation processes, helping developers save time and effort. The product is available on GitHub and is suitable for individual developers and startups, offering high flexibility and scalability.
Target Users :
FireGEO is ideal for developers and companies needing to quickly launch SaaS products. It provides a simplified process and powerful features, allowing developers to focus on business logic rather than infrastructure. Whether it's a startup or an existing team, FireGEO can help save time and reduce development costs.
Use Cases
Startups use FireGEO to quickly launch their SaaS products, saving development time.
Marketing teams use the brand monitoring feature to track brand performance online in real time.
Developers enhance user support experiences by integrating AI chat features, increasing customer satisfaction.
Features
Fast setup: Complete the SaaS setup with just a few commands.
Built-in authentication: Use Better Auth for user management and authentication.
Automated billing: Integrate Autumn to support Stripe payments and easily handle subscriptions and invoices.
Brand monitoring: Use Firecrawl for web crawling to monitor brand reputation in real time.
AI chat support: Integrate multiple AI service providers to provide intelligent chat features.
Database management: Use PostgreSQL and Drizzle ORM for efficient data management.
User dashboard: Provide a user-friendly interface for managing accounts and services.
Rich component library: Use Tailwind CSS and shadcn/ui to quickly build visually appealing front-end interfaces.
How to Use
Clone the GitHub repository: Run the command `git clone https://github.com/mendableai/firegeo`.
Install dependencies: After entering the project directory, execute `npm install`.
Set environment variables: Copy and edit `.env.example` to `.env.local`, and fill in the database connection string and other API keys.
Initialize the database: Run `npm run db:push` to create database tables.
Start the development server: Use `npm run dev` to start the application and test it at http://localhost:3000.
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