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Damir Akaza
@Damir_Akaza
▫️ Lessons from Wall Street & top investors ▫️ Curating the best finance & business insights | @zscdao
268 Following    4.7K Followers
A 26-year-old woman who repairs game consoles quit her job, opened an online workshop, and now earns more than her former colleagues in the trade. For four years she worked in an ordinary repair shop, behind a counter, where nobody sees what happens to your console after you hand it in. The price list: stick drift, one stick - $10–19. Two - $19–31. Hall effect sensors - up to $34. Cleaning, battery replacement, small jobs - from $6. Work out for yourself how many consoles a month that takes to actually make a living. After she quit, she set up a workshop at home and started bringing in $3,000 a month and up. Viewers send donations on Twitch and Boosty while she repairs PlayStations and Xboxes live, taking them apart in front of thousands of people and narrating every step. Haters will say it only works because she's a woman running streams. But the consoles are mailed to her from the other side of the country. Nobody goes to that trouble over looks. Since she opened the online workshop, her income and her order count have both grown several times over. All it took was turning on a camera.
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Jane Street, one of the richest and most secretive firms in the world, paid him between $330,000 and $600,000 a year, and in just a couple of months he built an AI system that runs TRILLIONS of operations per second "we just hired a kid... and he turned out to be a supercomputer in a human body" is what they're whispering now at Jane Street a math genius who pushed supercomputers to their limit. now Wall Street's quant traders are in shock in this hour-long lecture he breaks down how to use his machine to process trillions of data points bookmark it right now and watch it instead of reels to learn how to do the same ↓
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My friend created an agent and started making $3,000 per order Now she earns more in a month than the entire restaurant staff combined She worked as an administrator at a restaurant Answering calls, replying in messenger, greeting guests, calling back reservations and so on - all at the same time Because of the rush of guests - constant mistakes Guests waiting at the entrance for a table that's already taken Phone won't stop ringing. Messengers blowing up She decided to build one agent that handles all of it herself A guest writes in messenger - the agent accepts the reservation, immediately asks about allergies and dietary restrictions, and based on the order recommends cocktails that pair well with their dishes. An hour before arrival - an automatic confirmation message Everything the guest said is instantly distributed - the kitchen sees what's theirs, the bar sees what's theirs, on separate monitors, with no middleman between them No confusion. No "sorry, there's been a mistake" Bar sales grew because every guest received a personal cocktail recommendation with their order The owner saw the numbers and asked if she could do the same for his friend who also runs a restaurant Now she sets up this system for restaurants at $3,000 per installation and $120 per call to make adjustments One month in - 2 restaurants connected, pre-orders for 4 more She hasn't quit yet. But she already knows when full guide on how to build your first agent team - in the article below
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