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Zoho Goes Big: Billion-Rupee Bet on Saudi Tech with a Side of AI Optimism! Zoho dropping Rs 1,105 crore in Saudi Arabia's digital infrastructure? That’s not just investment—that’s a power move! It's like Zoho walked into the tech world party with su

I recently completed one year being away from home. Not the first time I’ve stepped out, but def the first time being away for a full-time job. This got me thinking - each time we’re out, living a life by ourselves, life presents us with multiple les

I have a massive idea regarding my startup which I do R&D from last 15 years with all objectives I found there is a full probability to do this business which is service based but I belongs from North-Eastern states from which it's being so touch to

Startups: Investors or Bootstrapping? Which is the Better Path? Every startup dreams of success, but the journey to the top varies. Some founders secure investors to scale fast, while others bootstrap to maintain full control. But which path truly

This is the youngest billionaire you never heard of... He was a pizza boy who built Gymshark into a $1.3B company with only $500. His strategy was so simple but GENIUS that Nike, Puma and Adidas executives couldn't believe it. Here's the full stor

Shark Tank India: Where dreams are pitched… and wallets are emptied! I started watching Shark Tank India to sharpen my business acumen, get inspired, and maybe even spot the next big idea. But instead of walking away with a million-dollar startup

Hello Founders, Everyone has ideas. But few take action. That’s why execution > ideas — always. India’s startup ecosystem is full of examples: 💡 Ola didn’t invent ride-hailing. They executed it locally, fast, and better. 💡 Zerodha wasn’t the fi

Some Sundays start slow… and that’s the magic. This was one of those mornings. Walked into a quiet Third Wave Coffee outlet, laptop in bag, mind buzzing with thoughts from the week, just the usual. But the universe had other plans today. A warm c

Chemical plants. Nuclear facilities. Disaster zones. These are not places humans want to be but where they are forced to work because machines can’t yet match our decision-making in unpredictable environments. So I pondered: What if human intelligen