Real-Time Weather Forecast App with OpenWeather API

🚀 Day 41/100 — #100DaysOfCode Today I focused on understanding different Next.js rendering strategies and how caching works for modern web applications. 🔹 Server-Side Rendering (SSR) The page is generated on the server for every request with fresh data. Best for frequently changing content such as: - Weather updates - Live scores - Stock market data - Shopping carts - Comments Using: no-store This means data is fetched on every request and not cached. 🔹 Client-Side Rendering (CSR) The browser loads the page first, then JavaScript fetches data and renders content on the client side. - Best for highly interactive dashboards or user-specific pages. 🔹 Static Site Generation (SSG) Pages are generated at build time and served as static files. Best for content that rarely changes such as: - Blogs - Documentation - Portfolio websites Using: force-cache This means data is cached and reused instead of fetching on every request. 🔹 Incremental Static Regeneration (ISR) A hybrid approach where static pages can update after a certain interval. Using: { next: { revalidate: 20 } } This means the page is cached, but after 20 seconds it can fetch fresh data and regenerate. Best for: - News sites - Product listings - Content updated periodically Choosing the right rendering strategy is important for balancing performance, freshness of data, and user experience. 41 days down, 59 more to go. #Day41 #100DaysOfCode #NextJS #ReactJS #WebDevelopment #FrontendDevelopment

🚀 Excited to share my latest project: COVID-19 Dashboard 📊 I’ve built an interactive dashboard using HTML, CSS, and JavaScript to visualize COVID-19 data simply and intuitively. 🔍 Key Features: • 📈 Line chart for trend analysis • 📊 Bar chart for weekly averages • 🥧 Pie chart for country comparison • ➕ Dynamic data input • 💾 Data persistence using local storage This project helped me strengthen my skills in: ✔ Frontend development ✔ Data visualization using Chart.js ✔ Working with browser local storage 💡 Next, I plan to integrate real-time APIs and enhance the UI with more advanced features. 🔗 Check out the project here: https://lnkd.in/dK7weTaj I’d really appreciate your feedback and suggestions! 🙌 #SyntechHub #WebDevelopment #JavaScript #FrontendDevelopment #DataVisualization #Projects #Learning #GitHub

🌍 Built a Smart Weather Website (SkyCast ⛅ ) with Real-Time Insights ⚡ I’ve been working on a modern, full-stack Weather Web Application that combines real-time data with an intuitive and responsive user experience. 💡 What makes it stand out? 🌦️ Live Weather Updates • Real-time temperature, humidity & wind data • Hourly forecast (next 8 hours) • 7-day weather trends • Air Quality Index (AQI) tracking 📍 Intelligent Location Features • Autocomplete-powered city search • Coordinate-based search (lat/lon) • Easily switch between multiple locations 📊 Interactive Data Visualization • Sunrise & sunset tracking • Wind direction compass • Circular humidity meter • Visibility, pressure & “feels like” insights 🎨 User Experience First • Fully responsive (mobile → desktop) • Clean UI with Tailwind CSS • Smooth transitions & loading states • Material Design icons ⚙️ Tech Stack 🔹 Backend: Node.js, Express.js, Axios, CORS, Dotenv 🔹 Frontend: HTML5, Tailwind CSS, Vanilla JS 🔹 API: OpenWeatherMap 🔑 Requirements • Node.js (v14+) • npm • OpenWeatherMap API key Git_Hub Repo: This Task was a great exercise in building something practical, scalable, and user-friendly.Codenova Tech Solutions 🙌 Open to feedback, suggestions, and collaborations! #FullStackDevelopment #JavaScript #NodeJS #TailwindCSS #WebApps #Developers #CodingJourney #OpenWeather #TechProjectsCodenovaCodenovaCodenovaCodenovaCodenova Tech Solutions

I almost broke a staging environment for an enterprise-level client because of this mistake. Here's what happened. I was building a website for an enterprise client — full stack, end to end. Frontend in React. Content managed through Strapi CMS. Data fetched via GraphQL. I had built the entire page system using reusable components. Each page was made up of different template components — hero, cards, sections, CTAs. Clean architecture. Looked great. Then I connected GraphQL. And the site became painfully slow. I couldn't figure out why at first. Everything was built correctly. The components were rendering. The data was coming through. But the page was taking forever to load. I dug in. Turns out — my GraphQL query was fetching ALL page data for EVERY component across the ENTIRE site. Every time a user landed on one page — the frontend was pulling data for every single page, every single component, all at once. Imagine ordering one coffee and the waiter brings you the entire menu. That's what I was doing to the browser. The fix? Instead of one giant query fetching everything — I restructured it to fetch only the specific component data for the specific page being loaded. Page-level GraphQL queries. Not site-level. Load time dropped. Site felt instant. The lesson I took from this: GraphQL gives you the power to fetch exactly what you need. If your site is slow — the query is almost always the problem, not the component. This is the kind of thing that never shows up in tutorials. Only in real projects. I'm building in public for the next 15 days — sharing exactly what I've learned across 35+ real projects. Follow along if you're a developer, a founder, or someone who wants to understand what actually goes into building a website. #webdevelopment #reactjs #graphql #buildinpublic #frontenddeveloper

🚀 From Idea to Interface—Progress You Can See. #Day2 of building DataVault—and today’s milestone feels real. Alhamdulillah, I’ve successfully converted the entire UI into working code using React and Tailwind CSS. What started as a concept is now a fully functional front-end with a working dashboard. 💻 What’s done: • Complete UI implementation using React + Tailwind CSS • Clean, responsive design now fully interactive • Dashboard functionality is up and running smoothly This is a big step—because now DataVault isn’t just an idea or a design… it’s something you can actually use. 🔐 What’s next: My next focus is implementing authentication to make the platform secure and accessible for real users. The goal is to ensure anyone can safely use DataVault to manage their data with confidence. ⏳ The 7-Day Challenge continues… I’m confident that within the next 2 days, this will evolve into a fully working application. 🤝 I’d love your input: If you have suggestions, features you’d like to see, or feedback—please share. Your insights can help shape this into something truly valuable. Let’s keep building in public. Day 7 is getting closer. 🚀 #BuildInPublic #WebDevelopment #ArtificialIntelligence #SaaS #ReactJS #TailwindCSS #JWT #DataSecurity #Developers #TechJourney #NodeJS #Typescrit #JavaScript #vercel #framermotion

🚀 Excited to share: react-pivot-pro is now live on npm! After a lot of iteration, debugging, and refining real-world use cases, I’ve finally published a powerful pivot table solution built to make complex data interactions simple, flexible, and production-ready. 🔗 https://lnkd.in/gfNR-DT2 💡 Why I built this Working with large datasets in frontend apps often means dealing with: • Aggregations • Dynamic grouping • Performance bottlenecks • Poor developer experience Most existing solutions are either too rigid or not extensible enough. react-pivot-pro is designed to solve that — with a focus on flexibility and real-world usability. ⚙️ What it offers • Dynamic pivoting (rows, columns, values) • High-performance data processing • Plugin-based architecture • Type-safe APIs • Developer-first design • Easy dashboard integration 🧪 Built with real problems in mind This isn’t a demo-first library — it’s shaped by: • Fixing broken implementations • Handling real edge cases • Ensuring examples actually work (no assumptions) 📘 What’s next • 100% example coverage • Deep documentation with real-world scenarios • Advanced dashboard integrations • More customization capabilities 🙌 Looking for feedback If you're building: • Data-heavy apps • Internal dashboards • Analytics platforms I’d love your feedback and use cases. 📦 Try it out npm install react-pivot-pro Aiming to make pivot tables actually developer-friendly. #React #OpenSource #JavaScript #Frontend #DataVisualization #TypeScript #WebDevelopment #npm

Recently built a Financial Dashboard to track balances, transactions, and spending insights. Live demo :- https://lnkd.in/dVD-CPeC The goal was to design a clean, data-driven UI while keeping state management simple and scalable. Tech stack: React (Vite), JavaScript, Tailwind CSS, Zustand Key features: Balance, income, and expense tracking Spending breakdown and trend visualization Savings rate calculation Export options (CSV/JSON) Responsive, component-driven UI Focus areas: Structured state management using Zustand Reusable and maintainable component design Clear data visualization for better decision-making This project helped reinforce building production-style dashboards with a focus on performance and clarity. #React #Frontend #JavaScript #WebDevelopment #TailwindCSS

🏠 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

Day [5] of 111days challenge Code for Change Today I learned about data fetching and the difference between Server Side Rendering and Client Side Rendering finally made sense. Here's how I understood it as a beginner: (Server Side Rendering) The server does all the work before the page reaches you. Data is fetched, HTML is built and it arrives ready to display. No blank screen. No loading spinner. Best for pages where SEO matters (blogs, landing pages) (Client Side Rendering) The page loads first then JavaScript fetches the data. That's why you see "Loading..." on some pages. Best for dashboards, user-specific content 𝗗𝗮𝘁𝗮 𝗙𝗲𝘁𝗰𝗵𝗶𝗻𝗴 𝗶𝗻 𝗡𝗲𝘅𝘁.𝗷𝘀 SSR → async server component + await fetch CSR → useEffect + fetch inside the browser If you're also learning Next.js let's connect. #111DaysOfCode #NextJS #WebDevelopment #LearningInPublic #React #Frontend

🚀 Just built GeoWeather – Interactive Weather Dashboard A full-stack weather application designed to make exploring real-time weather data more intuitive using maps and search-based location selection. Most weather apps rely only on text search. I wanted to improve that experience by adding a more visual and interactive approach. With GeoWeather, users can: 🌍 Select any location directly from an interactive map 🔎 Search any city or country 📍 Use a “Home / Current Location” button to instantly get weather for your current GPS position 📊 View real-time weather data (temperature, wind speed, and time) 💡 What I focused on while building this project: Integrating multiple APIs (Weather + Geocoding services) Working with map-based interactions using Leaflet.js Using browser geolocation API for current location detection Handling API responses and edge cases (invalid or missing locations) Structuring a full-stack Node.js + Express application 🛠 Tech Stack: Node.js | Express.js | EJS | Leaflet.js | Open-Meteo API | OpenStreetMap | Bootstrap 💻 GitHub: https://lnkd.in/djkXDEV4 Always open to feedback and suggestions for improvement 🙌 What feature would you add next? #WebDevelopment #JavaScript #NodeJS #FullStack #APIs #OpenSource #Learning