TBH, Indian shark tank should be renamed as American - Chinese products shark tank. I rarely found creativity. It's either copy of American startup or Chinese products assembled in india kinda start ups. Whenever product based startups are coming, th
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Anonymous 2
Hey I am on Medial • 3m
is it lack of innovation or just investors avoiding high-risk original ideas?
lack of time + lack of resources + optimism = innovation
0 replies9 likes
Mridul Das
Introvert! • 1m
A mindset shift Indian VCs really need:
Aravind Srinivas, CEO of Perplexity AI, nailed it —
“95% of my investments may fail, but the 5% that succeed will return 100x or even 1000x.”
This is exactly how innovation happens.
Unfortunately, this kind
In the Indian startup ecosystem, the biggest hurdle isn’t talent or ideas, it’s the mindset of most investors. The focus remains heavily capital-oriented, not innovation-driven. Instead of backing disruptive ideas with long-term potential, many inves
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0 replies3 likes
Vishnu V.
Senior Software Engi... • 14d
Are indian startups really original or just a copy of US startups?
India is a tech powerhouse, so why don’t we have our own Bose or Teenage Engineering?
We’re great at making budget-friendly gadgets, but where are the premium, world-class brands?
The problem isn’t talent—it’s how we think and invest.
Barely any
As a founder, one of the most important things I’ve learned is that innovation doesn’t come from just a few “creative geniuses” it comes from building an environment where every team member feels empowered to think differently.
If you want your team
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0 replies8 likes
GOLLAVILLI SANJAYKUMAR
Building in noise is... • 17d
I've applied for over 100 Founder’s Office roles, and every single one has rejected me due to a lack of "relevant experience."
The irony? They're looking for high-risk-takers with multitasking abilities—yet they aren’t willing to take a risk on a fr
An MVP (Minimum Viable Product) is crucial because it allows startups to:
1. Test Ideas Quickly: Validate your concept with real users before investing heavily.
2. Save Time & Money: Focus on core features, avoiding unnecessary development.
3. G
Investors are pouring money into anything labeled as AI, but this rush raises concerns. Many projects lack proven impact or scalability, yet still attract funding. There's a risk that without careful vetting, inflated expectations could lead to disap
