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Most AI startups fail at step 1: They jump into code without clarity. At @opslifysoftware we start with: 🔹 Problem-first discovery 🔹 AI mapping 🔹 UI/UX that makes sense Fast code is useless without sharp thinking.

Winners aren't the ones who never fall. They're the ones who get up when staying down makes more sense.

The idea behind Pied Piper still makes so much sense. Wonder how many startups actually tried building a compression company like that in real life.

Most startup advice sounds smart. Few actually survived. What truly matters: • Speed is nothing without clarity • Revenue hides weak retention • Vanity metrics kill conviction • No PMF? Nothing else matters • Burn is silent until it burns everythin

All the advice given on decision-making makes no sense when you are actually caught in a situation where multiple angles and factors have to be taken into account.   Decision-making is not a single- or double-track phenomenon.   It's multidimensional

25: WHEN EVERYTHING'S FALLING APART, DAD IS THERE LIKE A WALL: Your startup is in real crisis mode. What kind of dad support would actually help you survive this? (Not feel-good advice - what you ACTUALLY need when the business is dying) #GetSta

is there anyone , who have done a lot of freelance project in web dev mostly , can you share some insights and give any advice , to start ?

Imagining a world where energy and even electrons are what we trade instead of cash is pretty wild. But when you think about how much power those giant data centers gobble up, especially with all the AI stuff happening, it kinda makes sense. We'd

I’m a BCA student exploring growth marketing and I’m looking to learn from people who are actually working in this field. If you're a growth marketer (or work in performance/SEO/content/analytics), I’d love to hear your advice on where a beginner sho