
Hey I am on Medialย โขย 1y
Google Glass was hailed as the future of wearable tech, but it flopped due to privacy concerns and limited functionality. Despite Google's success in other areas, this project failed to gain traction. Was it ahead of its time, or just poorly execut
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Be yourselfย โขย 9m
๐ฝ Builder.ai Filed for Bankruptcy After Faking Its AI ๐ข > Builder.aiโonce a $1.5B London unicornโhas filed for bankruptcy... after it was revealed their โAI platformโ was actually humans. Around 700 engineers in India were doing the work while th
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Medialย โขย 1y
In 2024, several Indian startups shut down due to funding shortages, unsustainable business models, and market challenges. 1. Kenko Health: Insurtech startup shut in August after running out of funds and facing legal issues with a debt fund. 2
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Medialย โขย 1y
Why Having a Great Product Doesnโt Guarantee Startup Success: Having an awesome product isn't enough for startup success. 80% of startups fail in the first 18 months due to poor market fit, marketing, or customer engagement. For example, An American
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Hey I am on Medialย โขย 1y
Masayoshi Son, the visionary behind SoftBank, is betting big on AI, predicting that by 2035, AI will be 10,000 times smarter than humans. His company owns 90% of chipmaker Arm and is aggressively investing in AI research, planning to deploy $500 bi
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Set2Scoreย โขย 1y
๐ ๐ฎ๐ป๐ฎ๐ด๐ถ๐ป๐ด ๐ฎ ๐๐ฒ๐ฎ๐บ ๐ถ๐ undoubtedly a challenging task. As an entrepreneur, you're responsible for overseeing team members across various departments, including video editors, content writers, developers, technical content specialists, ma
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Hey I am on Medialย โขย 1y
๐กHow Notion Nearly Failed, Then Became a $10B Company In 2015, Notion was 24 hours from shutting down. With just $150,000 left, co-founder Ivan Zhao moved to Kyoto, Japan and reduced the team from 8 to 2 people. Instead of pivoting or raising more
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Set2Scoreย โขย 1y
๐ ๐๐๐ฎ๐ฟ๐๐๐ฝ ๐ถ๐ ๐ป๐ผ๐ ๐ท๐๐๐ ๐ฎ๐ฏ๐ผ๐๐ ๐ฏ๐๐ฟ๐ป๐ถ๐ป๐ด ๐ฐ๐ฎ๐๐ต !! A startup should focus on sustainable growth, not just rapid expansion fueled by heavy spending. Blindly burning cash on customer acquisition without retention strategies
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Gigaversity.inย โขย 10m
We developed a deep neural network for forecasting internal resource demand across systems, expecting it to outperform traditional models. But in deployment, a simple linear regression delivered better accuracy, stability, and faster inference times.
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