Modern Campaign Management System with React 18 & Node.js

🚀 Excited to share my latest project — Custom Dashboard Builder! I built a full-stack application that lets users create, configure, and save personalized dashboards — all through a drag-and-drop interface. 🔧 What it does: • Drag & resize widgets onto a live grid canvas • Visualize data using Bar, Line, Area, Pie & Scatter charts • Display KPI cards with Count, Sum & Average aggregations • Sort, filter & paginate data with interactive tables • Auto-align layouts with one click • Dashboards persist across sessions via MongoDB • Fully responsive across all screen sizes 🛠️ Tech Stack: Frontend → React 19, Vite, TailwindCSS 4, Recharts, React Grid Layout Backend → Node.js, Express, Prisma ORM, MongoDB This project pushed me to think deeply about component architecture, state management across a dynamic widget system, and designing a smooth drag-and-drop UX from scratch. Check it out 👉 https://lnkd.in/gnZyUx5y #React #NodeJS #MongoDB #FullStack #WebDevelopment #OpenSource #BuildInPublic

🚀 How to Optimize API Calls in React (Properly Explained) Many React apps become slow not because of UI… But because of inefficient API calls ⚠️ Let’s fix that 👇 ❌ Without Optimization • Multiple unnecessary API calls • Same data fetched again & again • Slow UI & poor performance • High server load ✅ With Optimization • Only required API calls • Cached & reused data • Faster UI response • Better user experience 🧠 Best Practices to Optimize API Calls 🧩 1. Fetch Only What You Need → Avoid large payloads ✔ Request specific fields only ⚡ 2. Use Caching (React Query / SWR) → Don’t refetch same data ✔ Automatic caching & background updates 🔁 3. Avoid Duplicate Requests → Store data globally (context/store) ✔ Prevent unnecessary API calls ⌛ 4. Debounce & Throttle Inputs → Reduce API calls while typing ✔ Perfect for search & filters 📄 5. Pagination / Infinite Scroll → Load data in chunks ✔ Better performance & UX ❌ 6. Cancel Unnecessary Requests → Abort old requests when new ones trigger ✔ Saves bandwidth 🔗 7. Batch API Requests → Combine multiple calls into one ✔ Faster & efficient 🎯 8. Conditional Fetching → Call API only when needed ✔ Avoid useless calls 🔄 9. Background Refetching → Keep UI fast + data fresh ✔ Show cached data instantly ⚡ 10. Use Proper HTTP Methods → Follow REST best practices ✔ Efficient API design 🔥 Real Impact ✔ Faster applications ✔ Better UX ✔ Reduced server cost ✔ Scalable frontend 🧠 Golden Rule: 👉 Don’t fetch more. Fetch smarter. 💬 Which technique improved your app performance the most? #React #Frontend #WebPerformance #API #JavaScript #WebDevelopment #Coding #SoftwareEngineering

 API Architecture: Choosing the right "Nervous System" for your App 🚀🔌 A beautiful Frontend built with Next.js is only as fast as the API feeding it. As we scale products at Codings First, one of the most frequent architectural debates I lead is: REST vs. GraphQL. As a Senior Developer, I’ve learned that there is no "perfect" choice—only the "right" choice for the specific problem you are solving. The REST Approach (The Reliable Standard): Pros: Excellent caching, simple to implement, and highly predictable. Best for: Standard CRUD applications and public APIs where you want high cacheability and a simple learning curve. The "Senior" View: It’s great, but "over-fetching" data can become a bottleneck as your mobile user base grows. The GraphQL Approach (The Flexible Powerhouse): Pros: Zero over-fetching. The frontend asks for exactly what it needs, and nothing more. Best for: Complex, data-heavy apps with deeply nested relationships (like social feeds or dashboards). The "Senior" View: It provides incredible developer experience, but you must be careful with "N+1" query problems and complex caching. At the end of the day, Scalability isn't about using the "coolest" tech; it's about choosing the architecture that reduces latency and maximizes maintainability for the team. Which side are you on? Are you a REST traditionalist, or have you moved your production stack to GraphQL? Let's discuss the trade-offs in the comments! 👇 #APIArchitecture #MERNStack #NodeJS #GraphQL #RESTAPI #SoftwareEngineering #CodingsFirst #SeniorDeveloper #BackendDevelopment #WebScalability

𝐂𝐚𝐥𝐥𝐢𝐧𝐠 𝐀𝐥𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 – 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐆𝐫𝐞𝐞𝐧𝐞𝐫 𝐖𝐞𝐛 We spend hours optimizing performance, reducing load time, and improving UX… But one thing most of us ignore: 𝐄𝐯𝐞𝐫𝐲 𝐰𝐞𝐛𝐬𝐢𝐭𝐞 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐞𝐦𝐢𝐭𝐬 𝐂𝐎₂ So I built something to change that. 𝐆𝐫𝐞𝐞𝐧 𝐂𝐚𝐫𝐛𝐨𝐧 𝐒𝐜𝐚𝐧𝐧𝐞𝐫 A full-stack platform that analyzes websites and shows their 𝐜𝐚𝐫𝐛𝐨𝐧 𝐟𝐨𝐨𝐭𝐩𝐫𝐢𝐧𝐭 + 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. But here’s the interesting part: It doesn’t just give scores… it tells you: - Which 𝐉𝐒, 𝐂𝐒𝐒, 𝐈𝐦𝐚𝐠𝐞𝐬 𝐚𝐫𝐞 𝐮𝐧𝐮𝐬𝐞𝐝 - Which files are 𝐭𝐨𝐨 𝐡𝐞𝐚𝐯𝐲 𝐚𝐧𝐝 𝐬𝐥𝐨𝐰𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐬𝐢𝐭𝐞 - Where exactly you can 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐭𝐨 𝐫𝐞𝐝𝐮𝐜𝐞 𝐞𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐬 + 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 Basically → 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 + 𝐂𝐚𝐫𝐛𝐨𝐧 𝐀𝐰𝐚𝐫𝐞𝐧𝐞𝐬𝐬 𝐢𝐧 𝐨𝐧𝐞 𝐭𝐨𝐨𝐥 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 (𝐟𝐨𝐫 𝐝𝐞𝐯𝐬) TypeScript Node.js + Express.js PostgreSQL + Sequelize ORM React + Bootstrap Headless Lighthouse (automation + deep audits) 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐢𝐬 𝐞𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 - Real-world problem (Climate Tech) - Involves 𝐜𝐫𝐚𝐰𝐥𝐢𝐧𝐠, 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐥𝐨𝐠𝐢𝐜 - Mix of 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 + 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 + 𝐬𝐲𝐬𝐭𝐞𝐦 𝐝𝐞𝐬𝐢𝐠𝐧 - Can scale into a 𝐒𝐚𝐚𝐒 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 - You build something that has 𝐢𝐦𝐩𝐚𝐜𝐭 𝐛𝐞𝐲𝐨𝐧𝐝 𝐜𝐨𝐝𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐰𝐡𝐨 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐦𝐞𝐚𝐧𝐢𝐧𝐠𝐟𝐮𝐥 If you’re interested in: - Performance optimization - Building smart analysis tools - Working with Lighthouse & web audits - Full-stack architecture - Or contributing to something impactful Let’s collaborate. This is more than a project. It’s a step toward making the internet 𝐟𝐚𝐬𝐭𝐞𝐫, 𝐜𝐥𝐞𝐚𝐧𝐞𝐫, 𝐚𝐧𝐝 𝐬𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞. Drop a comment or connect if you want to contribute 𝑮𝒊𝒕𝑯𝒖𝒃 𝒍𝒊𝒏𝒌: https://lnkd.in/dW99zDrv #Developers #OpenSource #FullStack #ReactJS #NodeJS #TypeScript #PostgreSQL #PerformanceOptimization #ClimateTech #BuildInPublic

🚀 Time Flow – A smart full-stack productivity tracking web application designed to help users manage their time efficiently and boost daily performance. Built using HTML, CSS, JavaScript, Node.js, Express.js, and MongoDB, it allows users to register securely, create tasks, organize work by category, and monitor productivity through interactive analytics dashboards. 📊 With features like task management, time tracking, category-wise analysis, and progress insights, Time Flow helps users stay focused, organized, and productive every day. This project reflects my skills in frontend development, backend integration, database management, and problem-solving. 💻 Turning ideas into real-world solutions through code. #WebDevelopment #FullStackDeveloper #NodeJS #MongoDB #JavaScript #ProductivityApp

🚀 How to Optimize API Calls in React (Simple & Practical Guide) Many React applications don’t feel slow because of UI… They feel slow because of inefficient API calls ⚠️ Let’s fix that 👇 ❌ Without Optimization • Too many unnecessary API calls • Same data fetched again & again • Slow UI & laggy experience • Increased server load ✅ With Optimization • Only required API calls • Cached & reused data • Faster UI response ⚡ • Better user experience 🧠 Best Practices to Optimize API Calls 🧩 1. Fetch Only What You Need → Avoid large payloads ✔ Request only required fields ⚡ 2. Use Caching (React Query / SWR) → Don’t refetch same data ✔ Automatic caching + background updates 🔁 3. Avoid Duplicate Requests → Use global state (Context / Redux) ✔ Prevent repeated API calls ⌛ 4. Debounce & Throttle → Reduce API calls while typing ✔ Best for search & filters 📄 5. Pagination / Infinite Scroll → Load data in chunks ✔ Improves performance & UX ❌ 6. Cancel Unnecessary Requests → Abort previous requests ✔ Saves bandwidth & avoids race conditions 🔗 7. Batch API Requests → Combine multiple calls into one ✔ Faster and efficient 🎯 8. Conditional Fetching → Call API only when needed ✔ Avoid useless requests 🔄 9. Background Refetching → Keep UI fast + data fresh ✔ Show cached data instantly ⚡ 10. Use Proper HTTP Methods → Follow REST best practices ✔ Improves API efficiency 🔥 Real Impact ✔ Faster applications ✔ Smooth user experience ✔ Reduced server cost ✔ Better scalability 💡 Final Thought Optimizing API calls is one of the easiest ways to boost performance without changing your UI. 👉 Which technique do you use the most in your React apps? #ReactJS #FrontendDevelopment #WebPerformance #JavaScript #API #SoftwareEngineering #Developers

💡 One of the most common interview questions: “𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗿𝗲𝗻𝗱𝗲𝗿 𝗮 𝗹𝗮𝗿𝗴𝗲 𝗹𝗶𝘀𝘁 𝗼𝗳 𝗱𝗮𝘁𝗮?” Most people immediately think of frontend optimizations like: • memoization • lazy loading But there’s a backend angle too 👇 📄 Traditional approach: Page-based pagination • send page + limit • use skip on database • return data Works well for: ✅ small to medium datasets ✅ quick implementation ⚠️ But what happens when data grows? Imagine: • 100,000 records • 100 per page → 1000 pages Now think about the UX 🤯 • endless page numbers • poor navigation • slower queries with large skips 🚀 Better approach: Cursor-based pagination Instead of page numbers, we use a cursor (usually last item id). How it works: • send last fetched item id • query next set using > (greater than)/ <(less than) condition • return next batch ✨ Benefits: ✅ smooth infinite scrolling ✅ better performance on large datasets ✅ no large skip operations ✅ improved user experience 🖥️ On frontend: We can use Intersection Observer to detect when user reaches the bottom → trigger next API call. ⚡ Simple idea, but widely used in: • social media feeds • e-commerce apps • search results Sometimes the right solution is not just optimizing rendering… It’s choosing the right 𝗱𝗮𝘁𝗮 𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆. #javascript #webdevelopment #systemdesign #backend #frontend

🏠 I Built a Full-Stack Real Estate Marketplace — Without Paying for APIs 💸 Most property platforms rely on expensive APIs for maps and geocoding… I wanted to challenge that. So I built a fully functional real estate platform using 100% free tools — while keeping it scalable and production-ready. 🔧 Tech Stack • Next.js 15 + React 19 • Supabase (PostgreSQL + Storage) • Clerk Authentication • Leaflet.js + OpenStreetMap • Tailwind CSS 4 + Radix UI ✨ Key Features • Browse properties for Sale & Rent • Interactive map with property markers & popups • Smart address search (Nominatim API) • Advanced filters (Bedrooms, Bathrooms, Parking, Property Type) • Exact match & minimum filtering modes • Post & manage your own listings • Personal dashboard (edit/delete listings) • Agent Finder section • Fully responsive (mobile-first design) 💡 What I Learned • Handling SSR issues with Leaflet in Next.js • Optimizing API calls with debouncing • Managing complex filter state • Integrating Supabase storage for image uploads • Building scalable apps without paid APIs 🎥 Live Demo + Video Walkthrough 🌐 https://lnkd.in/dnuWUqvM 🙏 Special thanks to Hammad Sheikh Bin Nadeem 🇵🇰 (SMIT – Generative AI) for the mentorship and for constantly encouraging us to build real-world applications. 🚀 Would love your feedback — what would you improve or add? #NextJS #React #Supabase #Clerk #TailwindCSS #WebDevelopment #FullStack #JavaScript #BuildInPublic #OpenSource #RealEstate #TechPakistan #100DaysOfCode

🚀 Excited to share my latest MERN Stack eCommerce + AI Product Search + Admin Dashboard Built a complete full-stack eCommerce platform using MongoDB, Express.js, React.js, and Node.js with modern features and smooth user experience. ✨ Key Features: • User Sign Up / Sign In • Forgot Password with OTP Verification • Secure Authentication System • AI-Powered Product Search using Reference Images • Smart Search Results Based on User Input • Admin Dashboard • Create, Edit & Delete Products • User Management • Order Management System • Responsive UI Design 🤖 One of the main highlights of this project is the AI Search Functionality, where users can search products intelligently using reference images and get better matching results. This project helped me improve my frontend, backend, authentication, API handling, and AI integration skills. Would love to hear your feedback and suggestions! 👨💻 Github- https://lnkd.in/g5UD-y5y Demo Link - https://lnkd.in/gj5BsAX6 #MERNStack #ReactJS #NodeJS #MongoDB #ExpressJS #FullStackDevelopment #WebDevelopment #JavaScript #EcommerceWebsite #AISearch #ArtificialIntelligence #Developer #Coding #PortfolioProject VSPAGY

Why write a complex Cron Job when your database can clean up after itself? ⏱️🚀 I just built Ephemeral Stories (Instagram/WhatsApp style) for my full-stack WebChat application, and it was an incredible exercise in both Backend optimization and Frontend UI/UX! The Architecture Challenge: How do you automatically delete thousands of stories exactly 24 hours after they are posted, without destroying your Node.js server's CPU with continuous background loops? The Solution: I utilized MongoDB TTL (Time-To-Live) Indexes. By attaching expires: 86400 to the schema, I completely offloaded the deletion lifecycle to the database engine. It costs zero server performance and scales infinitely. ⚡ The Frontend UX: I wanted the UI to feel native and premium. Using React and Framer Motion, I built a full-screen cinematic overlay featuring: ✅ Dynamic progress bars that track the active story. ✅ Invisible tap-zones (tap left to go back, right to skip). ✅ Grouped horizontal story bubbles on the feed. ✅ Silent background API calls to track "Views" in real-time. Building immersive, touch-friendly UI components on the web is tough, but seeing the final result is incredibly rewarding. Have you ever used MongoDB TTL indexes in production? What's the most complex UI component you've built recently? Let me know below! 👇 #WebDevelopment #ReactJS #MongoDB #Frontend #Backend #SoftwareEngineering #BuildInPublic #MERN