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Do you think , Softbank is pulling money from Indian Startups ❓🤔

Let's Discuss Which are biggest Venture Capital Firms in the World ?🚀 What do you think? According to me it's SoftBank and Sequoia Capital 🚀🤑..

Recently I had seen one video related to Kirana tech in India and why it is Failed? 😒💭🤔❓ I have made some analysis through this 📈🤩,I hope Guys You like it❓🚀♥️ - Price-conscious nature of kirana store owners - Limited scope for premiumization

As we know, SoftBank, Sequoia Capital, and many venture capital firms are investing in AI startups like LLM companies and companies that use LLM model API to integrate in their backend. What do you think, where is technology going? 🤔 Let me know yo

Let's decode one pattern : • Companies were backed by Softbank such as OYO, OLA Electric and FirstCry are continuously filing for IPO but some IPO's approved or some failed for IPO. • Startups backed by Softbank such as OLA Electric and OYO are ra

Tumne inmein se kitne investors ka naam suna hai: 1. Sequoia Capital India 2. Accel Partners India 3. Tiger Global Management 4. SoftBank Vision Fund 5. Nexus Venture Partners 6. Lightspeed Venture Partners India 7. Kalaari Capital 8. Matrix Partner

Nowadays, Various Startups like OYO, Zomato and now Urban Company is profitable 📈💭. • It seems to be great trend for Indian Startups to get funding from Big VC's Such as SoftBank, Sequoia Capital,Tiger Global and Accel. • It's good sign for earl

Hello Guys 🤩, • I am just validating one idea , nowadays we have seen that Climate Change is one of the biggest problems for the country or planet also.😒😔 • Nowadays We have seen that some news articles regarding to the Some cities ran out of wa

Wooh 🤯, This is interesting one ! • BlackRock Assets Value hits record value of $ 10.5 Trillion in Q1 2024 , 36% growth in Profits . • Now they are 1/3 the GDP of United States Of America and they are dominating Investing Markets followed by Van

Hello Everyone, Do you think that , Meta's plan to dominate AI sector is kind of different : Firstly make it available for free and if it is totally trained then make business from it. 1. Meta doesn't public their things easily. 2. Meta avails the