Many platforms collect complaints but don’t manage them efficiently. So while building Loudam, I focused on solving that. I developed a full stack system with an admin dashboard that allows: * Tracking complaints * Updating status * Resolving issues in a structured way Handled both frontend and backend to make the entire flow seamless. Here’s a quick walkthrough 👇 #FullStack #ReactJS #NodeJS #Backend #BuildInPublic
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What is Node.js? Node.js is a powerful runtime environment that allows you to run JavaScript outside the browser (on the server side). 💡 Earlier, JavaScript was only used for frontend development — but Node.js made it possible to use it for backend too! https://lnkd.in/d8ne2hhM Follow us on our Facebook page 🔥 Key Features of Node.js: ✔ Fast performance (powered by Google Chrome’s V8 engine) ✔ Non-blocking & asynchronous ✔ Perfect for real-time apps (chat apps, APIs, streaming) 🛠️ What can you build with Node.js? 🌐 Web servers & APIs 💬 Real-time chat applications 📦 Backend for mobile & web apps 🎮 Online games ⚡ Why learn Node.js? Because with Node.js, you can become a full stack developer using just JavaScript 💻 #NodeJS #WebDevelopment #JavaScript #Coding #FullStack
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👨💻 I built a Full Stack Notes App as a practice project using React and Node.js, integrated with Prisma ORM and SQLite. It allows users to manage their ideas through a complete CRUD system and a clean, responsive interface. 🚀 The project features a layered architecture on the backend and an efficient SPA structure on the frontend, including dynamic filtering for active and archived notes. Check out the project here: 🔗 https://lnkd.in/eCiCXvHn #React #JavaScript #NodeJS #Express #Prisma #WebDevelopment #FullStack #Frontend #Backend
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🚀 NexGo vs React.js vs Next.js — The Future of Frontend? I’ve been exploring a new framework called NexGo, and it got me thinking… How does it compare with React.js and Next.js? 🔗 Check it out here: https://lnkd.in/gE2BHFvd ⚡ NexGo (New Player 👀) Lightweight & fast (Go-powered ecosystem?) Focus on performance + simplicity Aims to replace heavy JS frameworks Still early, but interesting direction 👉 Could be a game-changer if it scales
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🚀 How I improved React performance using lazy loading One of the biggest bottlenecks in React apps is large bundle size slowing down initial load. Here’s what worked for me: ✅ Used React.lazy() to split components ✅ Wrapped components with Suspense fallback ✅ Loaded heavy modules only when needed ✅ Combined with dynamic imports for routes 📈 Results: • Faster initial load time • Better user experience • Improved Lighthouse scores Small changes → big impact. What performance optimizations have you used in React? #React #FrontEnd #webDevelopment #Performance #JavaScript #NextJS
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𝗠𝗼𝘀𝘁 𝗥𝗲𝗮𝗰𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗮𝗿𝗲 𝗹𝘆𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀. “I know hooks.” No—you don’t. Because if you did: your components wouldn’t re-render like crazy useEffect wouldn’t feel like black magic you wouldn’t be “optimizing” things that were never slow I’ve seen this too many times: Dev adds: useMemo useCallback React.memo App still slow. Now debugging is harder. Nothing improved. Because the problem was never 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. It was 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴. React isn’t confusing. You’re just trying to control something that’s built to be 𝗱𝗲𝗰𝗹𝗮𝗿𝗮𝘁𝗶𝘃𝗲. And React always wins that fight. Fix your 𝗺𝗲𝗻𝘁𝗮𝗹 𝗺𝗼𝗱𝗲𝗹 → everything clicks. Be honest— Which hook still messes with your head? #reactjs #frontend #javascript #webdevelopment #softwareengineering #reacthooks #devcommunity
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Tackling State Management in React I recently wrapped up a multi-step form project and wanted to share the results. While it looks simple on the surface, keeping state synchronized across different views while ensuring a smooth user experience was a great challenge. Key features I focused on: Persistent State: Ensuring data isn't lost when moving between steps. Progress Tracking: A visual indicator to keep the user engaged. Building this helped me sharpen my React skills alongside my background in .NET. Check out the demo below! #ReactJS #DotNetDeveloper #WebDevelopment #Frontend #CodingLife
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How I improved React performance using lazy loading One of the biggest bottlenecks in React apps is large bundle size slowing down initial load. Here's what worked for me: Used React.lazy() to split components Wrapped components with Suspense fallback Loaded heavy modules only when needed Combined with dynamic imports for routes Results: Faster initial load time Better user experience Improved Lighthouse scores Small changes big impact. What performance optimizations have you used in React? #Reactjs #FrontEnd #webDevelopment #Performance #JavaScript #Redux
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I just built my first project with Next.js — and I finally understand why so many developers are switching to it. Coming from React, I used to think Next.js was just “React with extra steps”… but actually building with it changed everything. Things that stood out immediately: • Built-in routing (no more manual setup) • Server-side rendering out of the box • Better performance and SEO without extra configuration • Cleaner project structure What surprised me the most wasn’t just the features — it was how much faster I could build something that actually feels production-ready. This project pushed me to think differently about: Data fetching Performance optimization Structuring scalable apps If you're already comfortable with React, learning Next.js is honestly one of the best upgrades you can make right now. Still learning, still improving and open for collaboration — but this is a solid step forward 🚀 live demo : https://lnkd.in/d4C-jHY2 #NextJS #WebDevelopment #Frontend #React #JavaScript #BuildInPublic
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🚀 Optimizing React Apps with TypeScript for Better Performance Building scalable frontend applications isn’t just about writing code — it’s about writing efficient code. Here are a few powerful techniques I use in React + TypeScript projects to boost performance: ✅ Avoid unnecessary re-renders with React.memo() ✅ Cache expensive calculations using useMemo() ✅ Prevent function re-creation with useCallback() ✅ Improve load time with code splitting (React.lazy) ✅ Handle large datasets efficiently using virtualization 💡 Why it matters? Faster apps → Better user experience → Higher engagement 🚀 #ReactJS #TypeScript #FrontendDevelopment #WebDevelopment #PerformanceOptimization #ReactTips #JavaScript #CleanCode #CodeOptimization #SoftwareDevelopment #TechCommunity #LinkedInTech
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Most React devs still reach for useState when they don't need to. Here's a pattern I keep seeing in Next.js codebases: fetching data in a client component, managing loading/error states manually, and wiring up useEffect for every data dependency. The same thing done with a Server Component: - No useState - No useEffect - No loading spinner wired up by hand - Direct async/await in the component The result is less code, faster initial load, and zero client-side hydration cost for that data. The mental shift is this: if the data doesn't change after the page loads and doesn't depend on user interaction, it belongs in a Server Component. Not everything needs to live in the browser. You'll write less JavaScript, ship smaller bundles, and spend less time debugging stale state. What part of your Next.js app are you still running client-side when it doesn't need to be? #NextJS #React #TypeScript
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