Palak Writes | Content That Connects and travel to the World

The easiest way to lose track of your travel budget? Stop tracking it. It’s easy to remember the big expenses, but the smaller ones tend to disappear into the background until you look at your bank balance. Add different currencies, spontaneous plans, and expenses shared with friends, and keeping up can become a chore. These 8 travel budgeting apps make it easier to keep an eye on your spending without turning your vacation into an accounting exercise. Best apps for travel budgeting 1. TravelSpend TravelSpend is built specifically for tracking travel expenses and budgets. It supports multiple currencies, works offline, lets you track spending against a daily budget, and can handle shared expenses. Premium adds features such as custom categories, income tracking, expense search/filtering, debt settlement, and CSV exports. Best for: Overall travel budgeting and expense tracking. Price: Free version available; premium is paid with pricing varying by country and app store. 2. Trabee Poc...

We keep telling brands to be transparent. Tell us what's inside. Show us the ingredients. Give us enough information to make our own choices, b ut what happens when a brand actually does that? What happens when it doesn't just talk about itself but puts its competitors next to it and says, "Look at the difference"? Suddenly, transparency doesn't sound so exciting anymore. That is what makes the recent Beco controversy so interesting. The home-care brand recently launched its #WarOnWhatsHidden campaign, and unlike most campaigns that spend their time explaining why their own products are better, Beco decided to point directly at the competition. It named brands like Vim and Surf Excel , compared their products with its own, and highlighted ingredients that Beco says are present in those products but absent from its own formulations. The backlash followed quickly. Critics called the campaign fear-mongering and an unfair attempt to damage established brands. There h...

A few days ago, a Reddit post about a DRDO internship stipend caught my attention. The offer was simple enough: a chance to intern at one of India's premier defense research organizations, work alongside scientists, gain exposure to cutting-edge projects, and add a prestigious name to a résumé. The stipend? ₹5,000 per month. At first glance, many people assumed it was either a typo or an exception. Surely one of India's most important research institutions wasn't expecting engineering students to relocate and work for months on a stipend that barely covers a week's expenses in many cities. But the more I looked into it, the more it became clear that this wasn't a one-off case. Multiple DRDO laboratories across the country advertise internships with the same stipend structure. And that's what makes this conversation worth having. Because this isn't really a story about ₹5,000. It's a story about how India treats the people it hopes will build its technolo...

A few months ago, most people weren't talking about data centres. Today, they are at the centre of India's AI ambitions. Google is partnering with Adani to build what is being described as India's largest data centre campus in Visakhapatnam. Andhra Pradesh is preparing power infrastructure capable of supporting more than 15 GW of data centre demand. Haryana has signed a ₹20,000 crore agreement with Anant Raj to expand data centre infrastructure. On paper, this looks like progress. Billions in investment. New digital infrastructure. More cloud computing capacity. A stronger AI ecosystem. The story sounds simple. But the deeper you look, the more complicated it becomes. Because while India is racing to build the infrastructure needed for the AI age, a question is quietly emerging in the background: What exactly will it cost us? The scale of what is being planned is enormous. The Visakhapatnam region alone has attracted proposals from major players including Google, Reliance, ...

"The better I write, the more AI it detects." That was something a writer friend said to me recently. At first, it sounded funny. Then it sounded absurd. And then, the more I thought about it, the more it felt like a glimpse into a much bigger problem. Because if you're a writer today, this fear is surprisingly common. You spend years learning how to write clearly, structure ideas effectively, and make your arguments easier to understand. You learn to cut unnecessary words, improve readability, and develop a consistent style. Yet one day, after doing everything you've been taught to do, an AI detector looks at your work and suggests it may not be yours. The irony is difficult to ignore. AI did not invent good writing. It learned from it. The models we use today were trained on books, essays, blogs, research papers, newsletters, and articles written by humans over decades. The qualities we associate with strong writing- clarity, coherence, structure, persuasion were de...