Insufficient credits - MASTER PROMPT — RORLINK (PHASE 1 MVP) Build a full-stack SaaS web application called Rorlink – LinkedIn AI Sales Agent....
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# Lovable Prompt for Rorlink – LinkedIn AI Sales Agent ## APPLICATION OVERVIEW Rorlink is a full-stack SaaS web application designed to automate LinkedIn outreach for B2B businesses. By leveraging AI, the platform helps users discover high-quality prospects, generate personalized messages, manage campaigns, and track performance metrics effectively. ## CORE FEATURES 1. **Prospect Discovery**: Users can filter prospects by job title, industry, location, and other criteria, and receive structured details including LinkedIn profiles. 2. **Profile Intelligence Agent**: An AI-driven tool that analyzes LinkedIn profiles to provide insights and personalization points for outreach. 3. **AI Message Generator**: Generates friendly and highly personalized connection messages based on prospect information while adhering to character limits. 4. **Campaign Manager**: Allows users to create and manage outreach campaigns, including adding prospects and controlling daily limits. 5. **Analytics Dashboard**: Provides insights into campaign performance metrics like connection rates, reply rates, and meetings booked. 6. **Credit System**: Manages user credits for actions like profile analysis and message generation, ensuring strict validation and tracking. ## DESIGN SPECIFICATIONS - **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography. - **Color Mode**: Light theme with dark text on light backgrounds. - **Primary Color**: #1978E5 (accent for buttons, links, highlights). - **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements. - **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs. - **Layout**: The layout will consist of a sidebar for navigation, a main content area for features and analytics, and a responsive design to accommodate various screen sizes. ## TECHNICAL REQUIREMENTS - **Framework**: React with TypeScript - **Styling**: Tailwind CSS - **UI Components**: shadcn/ui - **State Management**: Not specified, but could consider using Context API or Redux if needed. ## IMPLEMENTATION STEPS 1. **Set Up Project**: Initialize a new React project with TypeScript, Tailwind CSS, and shadcn/ui. 2. **Database Design**: Create a PostgreSQL database with the specified schema for users, prospects, campaigns, messages, and analytics. 3. **Backend Development**: Use FastAPI to create RESTful APIs for user authentication, prospect discovery, profile analysis, message generation, campaign management, and analytics. 4. **Integrate AI**: Implement OpenAI GPT for the Profile Intelligence Agent and AI Message Generator functionalities. 5. **Credit System**: Develop the credit system ensuring strict validation and tracking mechanisms as specified. 6. **Frontend Development**: Create the UI using React, styled with Tailwind CSS, implementing the minimalist design with the specified typography and color scheme. 7. **Testing**: Perform unit and integration tests to ensure all functionalities work as expected, including edge cases for the credit system. 8. **Deployment**: Deploy the frontend on Vercel and backend on AWS or Railway, ensuring connections are properly secured. ## USER EXPERIENCE Users will have a seamless experience starting from sign-up, where they receive free credits. They can easily navigate the platform to discover prospects, run profile analyses, generate messages, create campaigns, and view analytics—all while receiving visual feedback related to their credit status and campaign performance. The interface will be intuitive, minimizing the learning curve for users in sales, marketing, and recruitment.
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