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Rohan Saha

Founder - Burn Finan... • 1m

Railway companies are doing great right now but still most investors are not too confident about putting their money into this them.

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Tirth Patel

Same me • 1y

Now days "Ai"is most dangerous than people so maybe Ai is taken all jobs it's doesn't matter its video editor ,graphics designer, or anykind of job is taken by "ai" so what's you guys think on it? šŸ¤”

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Codestam Technologies

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Your customers love your service… but do they say it online? More reviews = More trust = More business. But most businesses forget to ask. That’s why we built Codstam : • Automated WhatsApp feedback requests • Personalized messages for every custo

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Ankush Sharma

Business Consultant ... • 1m

If your business is performing well, forget fundraising. Here’s the thing: Venture Capital is not looking for good to great companies. They're looking for outliers. We're talking: → 100x–1000x potential → Category creators → Can this become a mo

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Aarihant Aaryan

Prev- Founder & CEO ... • 8m

If you're building a consumer app, there are 2 levers that'll make your app successful 1. > 2.5% + Install to paid user ratio 2. Solid retention, most apps are trading apps- user performs an activity and never comes back but great businesses are a

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TREND talks

History always repea... • 7m

Expansive bullets are considered one of the most dangerous bullets and were banned by the Hague Convention over 100 years ago. When they enter the body, they expand significantly, creating extensive wound channels, tearing soft tissue and crushing bo

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ProgrammerKR

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World's Most Dangerous Company Palantir Technologies might not be a household name, but its reach is chilling. This data analytics firm works behind the scenes with intelligence agencies, military operations, and governments worldwide. Known for cre

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SHRINIVAS REDDY

Prompt engineering, ... • 1y

I initially believed that tech startups were the most profitable, but I've come to realize that financial startups actually generate higher revenues.

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Dinakar

Nobody • 1y

16 influential AI companies agreed to a so called "AI Kill switch", or a policy in which they would halt development of their most advanced AI models if they were deemed to have passed certain risk thresholds.

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