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An AI Agentic SaaS Template built on the Vercel ecosystem.
I just open-sourced an AI Agentic SaaS Template built on the Vercel ecosystem. What it does: It transforms raw content into platform-ready social media posts using multi-agent workflows. You can feed it: Online articles (single or multiple) PDFs Plain text Mixed sources It uses AI SDK, AI Gateway, and Workflow to orchestrate multiple agent flows that process, refine, and format content into ready-to-post outputs. The idea was simple: show what’s possible when you combine structured agent workflows with Vercel’s AI stack. This entire thing can be built in hours, not weeks. That’s the real takeaway. The Vercel ecosystem makes it insanely fast to go from idea → working AI SaaS. I’m open-sourcing this so you can: Fork it Break it Extend it Turn it into your own product Don’t just use it as-is. Build your own version. Add new agent flows. Change the output formats. Turn it into a niche SaaS for a specific audience. There’s a lot more possible here than just content generation. If you try it, ship your version. I’d love to see what you build.
Fresh Market
🌿 Deep Fresh Market: A Premium Grocery Ecosystem Deep Fresh Market is a high-performance, mobile-first Single Page Application (SPA) designed to digitize local grocery businesses. Built with React 19 and Firebase, it offers a seamless, real-time experience for both customers and store owners, bridging the gap between local commerce and modern technology. 🚀 Live Demo & Key Highlights Customer Experience: Premium UI with glassmorphic elements and optimized cart flow. Admin Control: A robust dashboard for real-time inventory and order lifecycle management. Performance: Sub-second sync times powered by Firebase Firestore’s real-time subscriptions. 🛠️ Technical Stack Frontend: React 19 (Functional Components, Hooks, Context API) Styling: Tailwind CSS (Utility-first, Custom Animations, Glassmorphism) Database: Google Firebase (Firestore NoSQL) APIs: MediaDevices API: Integrated in-browser camera for instant product asset capture. Geolocation API: Precise "Pin my location" feature for delivery accuracy. Fonts: Plus Jakarta Sans for a modern, premium typography feel. ✨ Key Features 🛒 For Customers Dynamic Catalog: Browse handpicked premium groceries with real-time "Out of Stock" indicators. Smart Cart: Seamlessly manage quantities with a persistent floating cart drawer. GPS Checkout: One-tap location pinning using the Google Maps Geolocation API to ensure zero delivery errors. Order History: A dedicated "My Orders" tab with real-time status updates (Pending vs. Delivered). 💼 For Store Owners (Admin) Real-time Order Feed: Instant popup notifications for incoming orders using onSnapshot listeners. Integrated Asset Management: Snap product photos directly from the dashboard using the device's camera. Inventory Control: Global toggle for stock availability and price updates that reflect instantly for all users. Revenue Tracking: Detailed order summaries including total revenue and itemized breakdowns. 🏗️ Architecture Highlights Real-Time Data Sync: Implemented the Observer Pattern via Firebase onSnapshot to ensure the Admin and Customer views are always in sync without manual refreshing. Responsive UX: Developed using a Mobile-First approach, ensuring a native app-like experience on iOS and Android browsers. Security: Password-protected Admin Gateway to prevent unauthorized access to store operations. Optimization: Optimized image loading and state management to handle high-frequency order updates gracefully. 🔧 Installation & Setup Clone the repository. Install dependencies: npm install. Set up your Firebase project and update services/firebase.ts with your config. Run the development server: npm run dev. Admin Credentials: Default Password: admin 📈 Future Roadmap Analytics Dashboard: Monthly sales reports and customer behavior heatmaps. AI Smart Suggestions: Using Gemini API to suggest recipes based on cart items. Push Notifications: Firebase Cloud Messaging (FCM) for order status alerts. 🤝 Contributing Contributions are welcome! If you'd like to help improve Deep Fresh Market, please fork the repo and submit a PR. The Challenge I Solved: Most local stores struggle with maintaining accurate stock levels online. I solved this by implementing real-time inventory toggles and instant order notifications, ensuring the store owner can update availability the moment a shelf goes empty.
CompliCopilot
🚀 CompliCopilot: Your AI-Architect & Development CatalystCompliCopilot is an AI-assisted developer companion engineered to bridge the gap between natural-language intent and production-ready execution. By transforming high-level requirements into structured, actionable coding guidance, it eliminates the "blank screen" problem and accelerates the iteration cycle from ideation to deployment. ⚡️ 🧠 The Core Engine (What it does)CompliCopilot acts as your elite virtual co-developer, specializing in: Strategic Feature Planning: Deconstructing complex logic into manageable, logical sprints. 📋 Intelligent Code Synthesis: Assisting with high-quality generation and precise refactoring. 🛠️ Context-Aware Debugging: Don't just fix errors—understand them. Get deep-dive explanations and structural fixes. 🔍 Workflow Optimization: Boosting productivity through real-time summaries and context-sensitive suggestions. 📈 🎯 Who Is This For?Hackathon Warriors: Ship SOTA-level projects in record time with clear implementation paths. 🏆 Students & Emerging Devs: Move past "tutorial hell" with guided, explained code implementations. 🎓 Senior Engineers: Rapidly prototype architectures and automate the cognitive load of boilerplate setup. 🏗️ ✨ Why CompliCopilot? (USPs)Intent → Implementation: Most tools just chat; CompliCopilot builds. It turns your "what if" into a "how to" structured roadmap. 🗺️ Productivity over Prose: We focus on the real-world dev workflow—build, debug, and optimize—not just simple Q&A. 🏎️ Architectural Clarity: It doesn't just give you code to paste; it explains the why behind the architecture, fostering true technical growth. 💎 💻 The Tech StackFrontend: React.js / Next.js for a seamless, responsive UI. ⚛️ Backend: FastAPI (Python) for high-performance, asynchronous logic handling. 🐍 Intelligence Layer: Integration with LLM Foundries (OpenAI/Anthropic) utilizing custom prompt-engineering workflows. 🤖 OCR/Processing: Leveraging Tesseract OCR for intelligent document/context parsing. 📄 🌐 Why It MattersIn a world of rapid-fire development, the friction between a great idea and a working build is the biggest bottleneck. CompliCopilot is here to dissolve that friction—making professional-grade development faster, clearer, and more accessible than ever before. 🌎
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