Most startups fail, not because the idea was bad,
but because execution stalled.
Tech moves fast.
Ideas alone don’t cut it.
Systems, automation, relentless iteration—that’s what separates the builders from the dreamers.
why most MVPs fail:
not because the tech is bad.
not because the idea is bad.
but because the feedback loop is broken.
no real users.
no real feedback.
no real iteration.
build → launch → learn → repeat.
that’s the game.
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I’ve got an idea that’s user validated, has product-market fit, and solves a real pain point. But I’m stuck on what to do next. If anyone here has taken an idea to an actual product, I’d truly appreciate your guidance on the next steps.
Imagine a Cursor - but for Data Science.
You describe a trend. It builds the model, visualizes results, explains the insight.
That’s not prompt engineering. That’s thinking with data.
Ever notice how day just disappears when you’re doing something you care about?
One small fix, one idea and suddenly it’s dark outside 😅
Guess that’s what building something from the heart feels like!
The AI race is about accuracy now. Being the least wrong.
Whoever builds the model that hallucinates the least will win. That’s what business needs. That’s what everyone will trust. I expect to see massive urgency around this.
