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"MVPs Are Easy, Systems Are Hard” Everyone wants to build the next big thing. And sure, building an MVP is easier than ever. But building something that works at scale, handles edge cases, is secure, and has clean architecture? That’s a different le

Thinking up a business idea is the easy part—anyone can do it. But actually building it, putting systems in place, and making it run like a machine? That’s the real war. For most MSMEs, implementing systems feels like climbing a mountain blindfol

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Startup name :- Data Validation Need cofounder having knowledge of how to make app of overall process and implement. If anyone interested please comment down. I wl reach out.

dropping startup ideas........#2 there are so many business casestudies, easy to post or consume but hard to implement, what if there's a ai tool that creates actionable steps or guide you all time so that you don't have to learn those lessons by fa

Final Year CS Student | Exploring Opportunities in Generative AI, Data Science & ML Engineering I’m currently in my final year of Computer Science and Business Systems and actively seeking internship opportunities where I can apply my skills in AI,

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs