🏠 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

Geospatial Technologies essential keywords, daily Tips 🌎 : Keyword : Turf.js Category :Programming Turf.js is an open-source, modular JavaScript library designed to perform advanced geospatial analysis directly in the browser or on Node.js. It implements a comprehensive suite of spatial functions—including point‑in‑polygon tests, buffer creation, centroid calculation, and spatial joins—using the GeoJSON format as its native data model. By exposing these functions as a fluent API, Turf.js enables developers to prototype, visualize, and iterate on spatial workflows without the overhead of server‑side processing, making it ideal for rapid web‑mapping, data‑driven storytelling, and real‑time analytics. 🗺️💻 The library’s lightweight, dependency‑free design allows it to integrate seamlessly with popular frameworks such as Leaflet, Mapbox GL JS, and React‑Map-GL, while its robust test suite and active community ensure reliable performance across diverse datasets. Whether you’re building a location‑based service, conducting spatial statistics, or automating data cleaning, Turf.js provides a consistent, reproducible toolkit that brings the power of GIS to the web ecosystem. 🌐🔧 #TurfJS #GIS #Geospatial #JavaScript #WebGIS #OpenSource #SpatialAnalysis #DataScience #MapDevelopment #TechGeoMapping #EssentialKeywords

"EJS is Underrated And Nobody Talks About It" Today I didn't know nothing about what to do with my forecast page in my weather app. No idea what data to have, what layout design to implement, which API's to get exactly, only the desire to make it work. In about 10-15 min of idea reasearching I ended up with: - Live weather data for 10 cities - A temperature sparkline - Trending cities grid - Global snapshot section showing the hottest, windiest and the coldest cities in real time. - Next 5-days forecast - Saved Cities EJS templating is definitely underrated, I can write HTML simple as that and the server renders before it even hits the browser. No loading states, No useEffect no hydration issue headaches. Only data - rendered, clean, done. The stack i use mostly nowadays: - Node.js + Express for the server - EJS - Dynamic Templating - Whatever API's for whatever app I need 😁 - Tailwind (must have nowadays - I run away from media-queries most of the time 😉) - Railway - for production and deployment Time flies when the stuck works and the data flows ... Let's bring EJS back 😉 skyCast is live at - https://lnkd.in/dpyXm335 (still in development) #EJS #templating #webdevelopment #nodejs #nextjs #customcode #html #expressjs

I'm excited to share that I have developed a working, foundational Web Operating System, GisunOS, and officially released v1.0.0 on GitHub! 🚀 Rather than just building a UI clone, my goal was to build a workstation that connects the gap between local desktop power and the open web. Building this required solving some of the hardest problems in web development, specifically strict CORS policies, CSPs, and Iframe-busting. 🛠️ The Tech Stack & Architecture: Frontend: Built with React and Vite for a blazing-fast development and user experience, utilizing Framer Motion for GPU-accelerated, 60fps window management. Backend Bridge: Powered by Node.js, the GisunBridge 2.0 acts as a custom networking layer performing real-time Network Layer Bypassing. It patches prototypes like window.fetch to dynamically route traffic and bypass modern "iframe-busters." Database & Auth: Integrated with Supabase for a robust, cloud-native state and data management experience. Deployment: Hosted and optimized on Vercel using serverless functions for the proxy logic. Features at a Glance: 💫 Premium Glassmorphism UI: A fluid, modern interface with real-time blur and native-feeling window snapping. 📱 Landscape Guardian: A mobile-first orientation system tailored for touch devices. 🛠️ Developer Suite: Integrated Terminal, Virtual File System (VFS), and real-time Activity Monitor. 📺 GisunTube: A custom scraping engine that parses raw HTML streams for a fast, ad-free media experience without heavy API limits. 🤝 Join the Open-Source Journey GisunOS is fully open source under GPL v3.0. I’d love for the community to check it out. Whether you want to develop new "System Apps," improve the proxy logic, or just explore the source code, your contributions and feedback are welcome! Explore the code, drop a ⭐, and let me know your thoughts in the comments 👉 https://lnkd.in/gRDeWqmT 👉 https://gisun.vercel.app #ReactJS #NodeJS #Vite #Supabase #Vercel #WebEngineering #OpenSource #FullStack #GisunOS #GitHub

Introducing The Mapillary API Demo Tool 🌎 We're excited to announce the Mapillary API Demo, a fully interactive web application with source code that lets you try out the capabilities of the Mapillary API. Get Started Here : https://lnkd.in/eBqbszRm Whether you're looking to bring Mapillary's 3+ billion images to your custom projects, understand how the API works under the hood, or simply explore the code, this open-source demo is the perfect starting point. Read our blog : https://lnkd.in/e4XyxERz What will you build with it? Let us know in the comments! 👇 #Mapillary #GIS #OpenSource #API #HTML #JS #MapLibre #Geospatial

If you really want to learn React state, build something with maps. I’m currently building a market planner with a 2D editor and a 3D map view. Every drag forced me to think about: React state, WebGL, geo math, local storage, server sync, and race conditions. And the hardest question: is my math even right? Because in map UIs, you are not moving pixels. You are mapping between coordinate systems. That is when frontend stops being UI work and starts becoming systems + math. Maps taught me that the hardest bugs are not rendering bugs. They are synchronization and modeling bugs. And next time someone says “that’s just UI…” hand them a map and let them find zoom 17 at 90° bearing 😄 (Or… if you have budget, just use ArcGIS or tools like OnePlan.) #React #WebDevelopment #Frontend #JavaScript #WebGL #Maps #GIS #Geospatial #SoftwareEngineering #StateManagement #StartupJourney #BuildInPublic

ArcGIS Maps SDKs are a family of developer tools designed to build mapping and spatial analysis applications across platforms. In this post, learn about ArcGIS Maps SDK for JavaScript to build custom, location‑aware applications. https://ow.ly/HrZw50YRaTk

ArcGIS Maps SDKs are a family of developer tools designed to build mapping and spatial analysis applications across platforms. In this post, learn about ArcGIS Maps SDK for JavaScript to build custom, location‑aware applications. https://ow.ly/gHb650YQRXa

ArcGIS Maps SDKs are a family of developer tools designed to build mapping and spatial analysis applications across platforms. In this post, learn about ArcGIS Maps SDK for JavaScript to build custom, location‑aware applications. https://ow.ly/aMub50YR74w