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I’m 25, way too many exams still to take. My classmates graduated two years ago, and here I am…still stuck in the same place. Not long ago, through a friend, I received an offer for a regular 9-5 job, average salary, 30-minute drive to the office and all the usual perks. It seemed like a solid offer. Everyone told me to accept it: my friends, my family. The idea was simple—I could start working, save some money, keep studying in the meantime, and finally finish my degree as soon as possible. After that, I could move to a bigger city, get a better paying job, and follow the usual path everyone expects. But I said no. I turned it down to create Describify. Describify is a platform that uses AI to analyze an image of an item someone wants to sell and generates a complete, tailored listing for platforms like Vinted, eBay, or Wallapop. Alright, you’re probably thinking, “What an idiot!” And maybe you’re right. I know that Describify isn’t a rocket headed for Mars or the next groundbreaking innovation in AI, but it’s my first public project—the first one I’ve poured my time (and sometimes my sanity) into, coding almost every day in my bedroom (don’t believe me? Check out my GitHub) while the rest of the world judged me. It’s like the Macintosh for Jobs. (Okay, I know that’s an over-the-top comparison, but you get the idea.) The point is, I believe in my idea and in the future ones that will come. And if you believe in it too, sign up for the waitlist and be among the first to access the platform—as soon as I squash a few bugs! www.describify.it |
A real world example. I see, it's possible to predict events on stock market. Logically would be, not to go all-in, because it's nearly to impossible. It's really is if you think of how many tried and failed. And just logically: it isn't possible to foresee when Elon or others start to tweet farts. The market is too dynamical.
With this universal knowledge, it would be stupid not to take on the job for me and you. But what if I really see a way to predict stock market movements good enough?
It's not good enough for going all-in. One would need more data and information and assessment of the do-ability compared to time needed.
And so on..
So from the point of view of your text:
Did you do market research or is it just "I know it"?
Is it a trade between studying degree vs. your idea?
What happens if your idea is not working like expected? Possible pivots without much work?
And so on.. it's a classic thinking-all-through. Believing is not enough in a data driven world :)