Building InsightFlow: A Full Stack Data Visualization Platform

🚀 Why GraphQL is changing the way we build APIs Most developers start with REST APIs… until they hit real-world problems like: ❌ Over-fetching data ❌ Under-fetching data ❌ Multiple API calls for one screen ❌ Versioning headaches That’s where GraphQL comes in. 💡 What is GraphQL? GraphQL is a query language for APIs that lets the client request exactly the data it needs — nothing more, nothing less. 🔑 Key advantages: • Single endpoint instead of multiple REST routes • Fetch nested data in one request • Strongly typed schema (better developer experience) • No more over/under fetching • Faster frontend development cycles ⚙️ Simple example mindset shift: REST: GET /user GET /user/orders GET /user/profile GraphQL: { user { name orders { id total } } } One request. Clean data. Less pain. 🔥 Where GraphQL shines: • Dashboards with complex data • Mobile apps (reduce network calls) • Microservices architecture • Real-time apps with subscriptions 📌 My takeaway: GraphQL doesn’t replace REST everywhere — but it solves real scaling problems when your frontend becomes data-hungry. 💬 Question for developers: Have you used GraphQL in production or are you still on REST APIs? What challenges did you face? #GraphQL #WebDevelopment #BackendDevelopment #FrontendDevelopment #APIs #JavaScript #NodeJS #FullStackDeveloper #ReactJS #SoftwareEngineering

🚀 Built a Full-Stack Task Manager Application Excited to share a project I recently completed — a Task Manager App designed with scalability, clean architecture, and real-world practices in mind. 💡 What this project covers: This isn’t just a CRUD app — I focused on building something closer to production-level systems with proper structure, authentication, and performance in mind. ✨ Key Features: 🔐 Secure JWT Authentication 📝 Full Task CRUD operations 🔎 Search, Filter & Pagination ⚡ Smooth UI with real-time updates 📱 Fully responsive dashboard 🔔 Toast notifications for better UX 🛠️ Tech Stack: Frontend: Next.js, TypeScript, Tailwind CSS, shadcn/ui Backend: Node.js, Express Database: PostgreSQL (Neon) with Prisma ORM State Management: Zustand 🏗️ What I focused on deeply: Clean frontend-backend separation Scalable API structure Efficient database handling with Prisma ORM Writing well-structured Prisma schemas & relations Proper error handling (401, auth flows, DB failures) Following strong TypeScript practices across the stack 🧠 Key Learning Highlight — Prisma ORM: Understanding how Prisma generates a type-safe client from schema Managing database connections (especially with Neon / serverless) Implementing and debugging migrations properly Using a singleton Prisma client in Next.js to avoid connection issues Handling real-world errors like P1001 (DB not reachable) and their impact on the app 💭 Biggest Learnings: Debugging real-world issues like DB connection errors & auth edge cases Understanding how frontend + backend + DB actually work together in production Importance of structure over just “making it work” Thinking beyond queries → understanding how the database layer behaves 📌 This project really helped me move from “building features” → “building systems” Would love feedback or suggestions for improvement 🙌 Also open to collaborating on more full-stack or AI-driven projects! #FullStackDevelopment #NextJS #NodeJS #Prisma #PostgreSQL #NeonDB #WebDevelopment #SoftwareEngineering #LearningInPublic

🚧 Building Testify — a B2B SaaS A/B testing & feature flagging platform from scratch. Think LaunchDarkly, but every single line built by me and my colleague Vishisht Sharma. 🧠 What does it do? Testify lets engineering teams control feature rollouts and run A/B experiments — without redeploying code. You wrap a feature in a flag, toggle it remotely, split traffic across variants, track events, and let the analytics tell you what's working. ⚙️ The Stack: → Frontend: React + Vite (dark-mode UI, custom design system) → Backend: Python — FastAPI + Uvicorn → ORM: SQLAlchemy → Database: PostgreSQL 🔩 What we've built so far: → Auth system — /register, /login, /role (fully wired frontend to backend) → Feature flag management routes → Decision engine — evaluates which variant a user gets → Event tracking → Analytics aggregation → Protected + public routes on the frontend 📍 Where we are right now: Deep in frontend-backend integration. Replacing hardcoded dashboard data with real API calls. Debugging things like async timing bugs — small issues, big lessons. Building this because we want to understand what it actually takes to ship a developer tool — not just the UI, but the data model, the decision logic, the auth, the edge cases. GitHub: https://lnkd.in/gj6RGW5A #BuildInPublic #SaaS #React #Python #FastAPI #FullStack #WebDev #PortfolioProject

What if you could apply to multiple jobs in minutes, without rewriting the same answers every time? I built an AI-powered job application assistant that learns from a user’s profile, generates tailored responses, and handles applications through a structured, queue-based system. Built a queue system so users can apply to up to 10 jobs in one go, reducing manual effort by ~80% Developed a Chrome Extension (MV3) to manage tabs, run background tasks, and interact with forms across different flows Made it so users enter their details once and reuse them across applications, cutting repeated input by ~70% Used OpenRouter API (LLMs) to generate answers for questions like “Why should we hire you?” based on user data and job context Handled different form structures and edge cases, reducing application time. Built backend APIs for managing jobs, user data, and application flow in real time. Made the system stable enough to handle 10+ applications in a session without user intervention. Reduced failed or abandoned applications by ~60% by handling validation errors and incomplete steps properly Tech Stack: React (Vite), Chrome Extension (Manifest V3), Node.js, Express, MongoDB (Mongoose), Playwright, OpenRouter API Check it out : https://lnkd.in/diA3puCr #FullStackDevelopment #ReactJS #NodeJS #MongoDB #ChromeExtension #JavaScript #Playwright #OpenRouter #AI #LLM #Automation #SoftwareEngineering #Projects

This is what makes me be outstanding as a Frontend Developer It's not AI powered stuff, it's something called Data Visualisation (DataViz). 65% of the population is a visual learner. So to prevent text, I will just drop a simple drawing about why Data Viz is important below. This is not made in React, D3.js, Next.js or Frontend Framework (But I could!). Made with Pen, paper, ruler, data and good practices, in less than 5 minutes. #dataviz #frontend #datavisualisation #charts

GraphQL Series — Day 2 Now that we know what GraphQL is… let’s understand the foundation of it — Types 👇 👉 GraphQL is a strongly typed system 👉 Every piece of data has a clearly defined type 👉 This makes APIs predictable and easier to work with 💡 Think of it as a blueprint that defines what data looks like. 🧠 Types in GraphQL 1. Scalars (basic values) ✔ String ✔ Int ✔ Float ✔ Boolean ✔ ID 👉 These are the simplest building blocks. 2. Object Types ✔ Used to define structured data ✔ Similar to objects in JavaScript Example idea: A User type can have name, email, and id 3. Nested Types ✔ Types can reference other types ✔ Helps represent real-world relationships 👉 Example: User → Posts → Comments 4. Non-Null (!) Types ✔ Ensures a field must always have a value ✔ Prevents unexpected null errors 👉 Makes your API more reliable ⚡ Why Types Matter ✔ Clear contract between frontend & backend ✔ Better developer experience ✔ Fewer runtime surprises ✔ Easier to scale APIs Follow for more frontend insights 📘 #GraphQL #Frontend #WebDevelopment #APIs #JavaScript #ReactJS #TechLearning #LearnInPublic #DevCommunity #FrontendEngineer #100DaysOfCode

🚀 Just shipped something I'm really proud of! Meet Production Planner — a full-stack Auto Planning & Scheduling web app I built from scratch to solve a real-world problem. 👇 💡 The Problem: Manufacturing teams waste hours every week on manual production planning — tracking inventory, calculating orders, scheduling machines. It's repetitive, error-prone, and slow. ⚙️ The Solution I Built: 📊 Real-time Dashboard with daily insights 📦 Product & Inventory Management ⚠️ Low Stock Alerts — never run out again 📈 Auto-generate Demand Forecasts 🗂️ Smart Production Order creation 🗓️ Machine-wise Schedule generation 🔧 Full Machine Management module One platform. Zero manual planning. ✅ 🛠️ Tech Stack: » 🟢 Node.js + Express.js — robust REST backend » 🍃 MongoDB — flexible NoSQL database » 🎨 Vanilla CSS — clean, custom styling from scratch » 📄 EJS Templates — dynamic server-side rendering » ☁️ Vercel — seamless deployment No fancy frameworks. Just solid fundamentals — and I loved every bit of it. This project taught me how to think like a product engineer, not just a developer — designing flows, structuring data models, and building something that actually solves a real problem. 👉 Live Demo: https://lnkd.in/gBeY6i4z I'd love your feedback — what would you add or improve? Drop it in the comments! 👇🙌 Thank you! #webdevelopment #fullstackdeveloper #nodejs #expressjs #mongodb #ejs #vanillacss #javascript #sideproject #programming #tech #vercel #softwareengineering

Working as a Data Engineer doesn’t mean I have stopped building web applications. Web development is still something I enjoy and continue to explore whenever I get free time. Recently, I built 𝗧𝗮𝘀𝗸𝗡𝗲𝘀𝘁, a mini ClickUp-style task management app for teams that need a simpler and more affordable way to manage departments, projects, and tasks. The idea came from noticing that many companies use paid tools like ClickUp. These tools are powerful, but not every small team needs a complex or expensive setup. So, I created TaskNest with: ✅ Department, project, and task management ✅ Admin approval for new users ✅ Role-based access control ✅ Department-level user access ✅ In-app notifications ✅ Clean MERN stack architecture Built with React, TypeScript, Node.js, Express, MongoDB Atlas, JWT, and RBAC. This project reminded me that technical growth should never be limited to one role. Being a Data Engineer helps me think about structure, scalability, security, and clean system design, and I bring that same mindset into web development too. 🔗 GitHub: https://lnkd.in/d7xMDjw7 🌐 Live Frontend Preview: https://lnkd.in/ddBSxrtS Note: Backend access and signup features are currently restricted for demo/security purposes Excited to keep building, learning, and improving. #WebDevelopment #MERNStack #DataEngineer #FullStackDevelopment #ReactJS #NodeJS #MongoDB #TaskManagement #SideProject #LearningByBuilding

𝐀𝐏𝐈 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐄𝐯𝐞𝐫𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐒𝐡𝐨𝐮𝐥𝐝 𝐊𝐧𝐨𝐰 🔥 APIs are the backbone of modern applications but most developers learn them randomly. 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐬𝐢𝐦𝐩𝐥𝐞 𝐰𝐚𝐲 𝐭𝐨 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐟𝐥𝐨𝐰 👇 👉 Web API → Handles browser storage & basic interactions 👉 Browser API → Fetch data, manipulate DOM 👉 Server API → Business logic + database connection 👉 3rd Party API → Payments, maps, social integrations 𝐊𝐞𝐲 𝐓𝐲𝐩𝐞𝐬 𝐘𝐨𝐮 𝐌𝐮𝐬𝐭 𝐊𝐧𝐨𝐰 - REST API → Most common & widely used GraphQL API → Flexible & efficient SOAP API → Legacy but still used in enterprises 𝐑𝐞𝐚𝐥 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 - Payments → Stripe API Maps → Google Maps API Social → Twitter API 𝐏𝐫𝐨 𝐓𝐢𝐩 - Don’t just learn APIs… 👉 Build real projects using them (that’s where real learning happens) 💬 Which API do you use the most? REST or GraphQL? #API #WebDevelopment #BackendDevelopment #FullStackDeveloper #MERNStack #JavaScript #NodeJS #ReactJS #GraphQL #RestAPI #SoftwareDevelopment #Developers #Programming #LearnToCode #TechCareer #CodingLife

🚀 Tired of "Over-Fetching" Data? Let’s talk GraphQL! 📊 In modern React apps, fetching data efficiently is the secret to a fast UI. While REST is great, GraphQL is changing the game by letting the Frontend take control. Here is my experience using The Efficiency Blueprint: 📍Our dashboard was making 5 different API calls to show a single User Profile. 🐢 We were receiving 50 fields of data from the backend, but only using 3. This "over-fetching" made the app slow on weak networks. 🎯 I needed to simplify our data fetching and ensure the frontend only asked for exactly what it needed—no more, no less. 🛠️ I implemented GraphQL. Think of Action as Defining the Order. Instead of hitting multiple URL endpoints, I wrote a single Query. I specified the exact fields (like name and profilePic) I wanted. GraphQL acts as a smart middleman that goes to the database, picks only those items, and returns them in one neat package. 📦 ✅ We reduced network payload size by 60% and cut the number of API requests from 5 down to 1. ⚡ The result? A much faster, cleaner, and more scalable React application. 💡 Real-Life Example: The "Grocery List" 🛒 REST API: You go to the dairy aisle for milk, the bakery for bread, and the fruit section for apples. You have to visit 3 different places. 🏃♂️ GraphQL: You give a List to a personal shopper. They go to all the aisles for you and bring back a single bag with exactly those 3 items. One trip, one bag. 🛍️✅ 🏁 Conclusion GraphQL shifts the power to the Frontend.🧠✨ #ReactJS #GraphQL #WebDevelopment #FrontendDeveloper #APIDesign #SoftwareEngineering #Efficiency