Khurram Ali Khan

  We’ve all heard the same advice again and again: “Work hard and everything will work out.” And yes, hard work matters a lot. But the truth is, hard work alone is not always enough. Sometimes you can be giving your best every single day and still feel stuck, tired, and confused about why results are not coming. That’s usually a sign that something is leaking in the background. When I say “leaking,” I mean anything that silently drains your effort, time, energy, and focus. It could be working on the wrong strategy, having a broken system, repeating the same mistakes, or even small daily habits that cancel out your progress. It could also be saying yes to everything, staying busy all day, but not actually moving forward. In these situations, people often try to solve the problem by working even harder, but that doesn’t fix it. Think of it like trying to fill a bucket with water when there’s a hole at the bottom. The harder you pour, the faster it leaks out. That’s how life...

 If you’ve ever built a feature that involves users uploading videos, you know the pain. One user uploads a 4GB .mov file from an iPhone, another uploads a .webm from a desktop, and your manager wants all of them to play smoothly on a 3G connection in a subway tunnel. You don't want to manage a fleet of FFMPEG servers. You just want the video to work. Enter AWS Elemental MediaConvert . In this guide, we’ll look at what MediaConvert is, how to use it to generate streaming-ready HLS (using .ts segments), and how to build a fully automated pipeline using Lambda and EventBridge to notify your API when the job is done. Part 1: What is MediaConvert? Think of MediaConvert as "FFMPEG as a Service," but with enterprise-grade scaling. It is a file-based video transcoding service. Input: You give it a raw video file in an S3 bucket. Processing: It converts (transcodes) that file into new formats (MP4, HLS, DASH, etc.). Output: It dumps the result into another S3 bucket. Unli...

  Building on those AI-first platforms like MTKits (which simplifies micro-SaaS deployment) and Gemini Studio (for building AI-driven workflows), the game for developers in 2025 has shifted toward Agentic architecture and Data-as-a-Service . Here are five of the "easiest" paths for a developer to generate passive income using current AI trends: 1. Build and Sell "Custom GPTs" or AI Agents Since the launch of the GPT Store and similar marketplaces like Poe , you can create specialized AI agents without building a full frontend. The Play: Create a "Senior DevOps Architect" GPT that audits Dockerfiles or a "Niche Legal Assistant" for freelance contracts. Passive Element: Once published, these platforms handle the hosting and user discovery. If they are useful, they grow through the platform's internal search. 2. The "Wrapper" Micro-SaaS Platforms like Vercel and Supabase make it incredibly easy to deploy "wrappers"—app...

  As developers, we live in the terminal, but we debug in the browser. Whether you’re digging through server logs, watching a CI/CD pipeline fail, or trying to figure out why a staging API is returning a 500, you almost always end up with a cURL command . The problem isn't the cURL; it’s what happens next. The "Standard Workflow" usually looks like this: Copy the massive, multi-line cURL. Open Postman (and wait for it to load/update). Create a new request. Import the cURL or manually paste headers. Deal with a "CORS" error because your browser is protecting you. Repeat this 20 times a day. It’s a lot of context switching for a "quick check." I wanted something faster. Something that felt like a bridge between the terminal and a full-blown API client. That’s why I built the . 🛠 What actually makes this different? This isn't trying to replace Postman for your team's entire API documentation. It’s built for speed . It’s the tool you reach for whe...

If you work in software, support, or data, you’ve lived this scenario: A client or a non-technical teammate sends you a "quick list" of data. You’re hoping for a clean API endpoint or at least a JSON file. Instead, you see it—the dreaded .xlsx attachment. Excel is great for humans, but it’s a nightmare for APIs. Usually, this means you have to: Open the file (and wait for Excel to load). Save it as a CSV. Write a 10-line Python or Node script to parse it. Or, use a sketchy online tool filled with pop-up ads. I got tired of that loop, so I decided to build a better way. The Solution: A Browser-First Converter I built the Excel to JSON Converter on mtkits.com to be the tool I actually wanted to use. It’s simple, it’s fast, and most importantly,  it stays in your browser. Your data doesn't get sent to a random server; the conversion happens locally on your machine. Why we’re all stuck between Excel and JSON Excel is the "Business" Language. Let’s be real: Fina...

  If you’re a developer, you know the struggle: you’re in the middle of a deep-work session, and suddenly you need to format a messy JSON string, check a JWT payload, or convert a timestamp. Normally, you’d open five different tabs, get distracted by ads, or use a sketchy-looking site. That’s exactly why mtkits.com was built. ✨ What makes mtkits.com so cool? Most "tool sites" are cluttered and slow. mtkits.com is different. It’s built by developers, for developers. Here’s why it’s becoming a daily bookmark for so many: Blazing Fast & Minimalist: No fluff. No intrusive ads. Just the tools you need in a clean, high-performance interface. The "All-in-One" Factor: Whether you are working with JSON, JWT, SQL, or Base64 , everything is under one roof. It’s like having a digital Swiss Army Knife in your browser. Built with Next-Gen Tech: We leverage the power of AI and modern frameworks to ensure our tools are accurate and handle your data safely. 🧠 The Secret ...