Back

Does building in public really works or is it just a start-up hype?

Showcase does not matter how much vote you have got, they want to see how good your idea is & how you can execute and i really appreciate for this to team.

These are all of the products that were killed by Google (pyaar se) On a serious note, it’s actually amazing how a $200Bn+ revenue/year company has had this many losses. What does it tell you about startups? That you’ve to fail 200+ times, and

The biggest threat of AI isn’t job loss — it’s the takeover of trade. Because AI is unbiased, and ironically, all human trade is driven by bias — personal preferences, emotions, trust, and perception

I really felt this. Does anybody think like this? https://www.instagram.com/reel/C8ggzGASZ2G/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA==

Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: • Build with LLMs • RAG & agents • Dataset engineering • Evaluation metrics that matter This isn’t just theory. It’s how to build. #AI #LLM #RAG #Tec

is n8n worth the time to learn or it is just the hype? Does it really make the difference by automating tasks? And does it deliver what it promises?

I’m really curious about how data gets stolen by Chinese companies. For example, if I sign in using my email ID on platforms like Deep Seek, does that mean they get access to all my data?