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

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

Does marks really matter in jobs or only the skills matter?. Why still people who are having good skills are getting underpaid than a person who bye heart with 0 industrial knowledge get great package

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==

Does an unpaid internship really help, or is it a scam by companies to make people work for free?

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?

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

This website does something simple but does it really well: Displays the organization charts of various companies in one place. https://theorg.com/org/google

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?