Lovable Prompt Creator - AI Prompt Generator

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Transform your web or app idea into comprehensive, optimized prompts for Lovable, Bolt, Replit, V0, and Cursor. Our AI-powered tool helps you create production-ready prompts with features, styling, and technical specifications.

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    Bolão do Oscar 2026 - Projete um painel para fazer um que eu e meus amigos vamos preencher, com nossa aposta pra cada categoria. No final, temos...

    Lovable
    Minimalist
    light mode
    2w ago

    Generated Prompt

    ## APPLICATION OVERVIEW
    The "Bolão do Oscar 2026" is a web application designed for users to participate in Oscar betting with friends. Users can submit their predictions for each category, and the app will validate the results after the awards ceremony to determine who guessed the most correctly.
    
    ## CORE FEATURES
    1. **User Authentication**: Users can create accounts and log in to securely manage their predictions.
    2. **Category Selection**: A simple interface allowing users to view and select categories for their predictions.
    3. **Prediction Submission**: Users can submit their bets for each Oscar category and edit them before the deadline.
    4. **Results Validation**: After the Oscars, the app will automatically validate the predictions against the actual winners and display results.
    5. **Leaderboard**: A leaderboard showcasing users with the highest number of correct predictions.
    6. **Friend Invitations**: Users can invite friends to join the betting pool via email or unique invite links.
    
    ## DESIGN SPECIFICATIONS
    - **Visual Style**: Minimalist - The design focuses on cleanliness and simplicity, ensuring plenty of white space to enhance readability and user engagement.
    - **Color Mode**: Light theme with dark text on light backgrounds to ensure high contrast and readability.
    - **Layout**: The main layout will consist of a header with the app title, a central section for category predictions, a sidebar for user stats, and a footer with links to help and contact.
    - **Typography**: Use modern sans-serif fonts like "Roboto" or "Open Sans" for body text, with larger, bolder headings for emphasis. Maintain a clear hierarchy with consistent sizing.
    
    ## TECHNICAL REQUIREMENTS
    - **Framework**: React with TypeScript for type safety and maintainability.
    - **Styling**: Tailwind CSS for utility-first styling, enabling rapid design changes and responsiveness.
    - **UI Components**: Utilize shadcn/ui components for a consistent and modern look.
    - **State Management**: Use React Context or Zustand for managing user authentication and prediction states.
    
    ## IMPLEMENTATION STEPS
    1. **Set up the React application** using Create React App with TypeScript.
    2. **Install necessary dependencies** including React Router for navigation, Tailwind CSS for styling, and shadcn/ui components.
    3. **Create a user authentication system** using Firebase Authentication or a custom backend service.
    4. **Design the main prediction page** where users can select categories and submit their predictions.
    5. **Implement the results validation feature** to compare user predictions with actual Oscar winners post-ceremony.
    6. **Build the leaderboard feature** to display user rankings based on their prediction accuracy.
    7. **Add friend invitation functionality** to allow users to invite others to join the betting pool.
    8. **Test the application** thoroughly for usability and responsiveness across devices.
    
    ## USER EXPERIENCE
    Users will first create an account or log in to the application. Once authenticated, they can view the available Oscar categories and submit their predictions. After the ceremony, the app will automatically calculate the results based on actual winners, updating the leaderboard in real-time. Users will also have the ability to invite friends and see their standings, fostering a competitive yet friendly atmosphere. Key interactions are designed to be intuitive, ensuring users can easily navigate through predictions and results.

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    3

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