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@amoreynis

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Give your pigeon a kick 1. "Imagine a flock of pigeons flying. Suddenly, an invisible hand throws one of the pigeons high into the air. And everyone notices it! And no one pays attention to the rest." These are the words a partner of the a16z fund uses to describe the current situation on the startup market. 2. Any technology can be copied very quickly now. That's why there are a lot of similar pigeon startups flying around the market 😉 Some are lower, some are higher — it doesn't matter at all! Because only those who fly above the threshold of ordinary inattention get a chance to succeed. 3. And most importantly — you can't achieve this by improving the product. Against the background of many analogues, you can only attract attention with attention-grabbing tools 🚀 One example is the American startup Cluely. 4. In March, a startup created a product in 4 days that you can discreetly peek at during online technical interviews. The founders talk about how they used it to pass interviews at Amazon, Facebook, and TikTok. After which they get kicked out of Columbia University, which they also talk about everywhere. 5. In April, the startup is already earning $250,000 a month. Which they also talk about everywhere and raise their first $5.3 million in investments. At the same time, a provocative video is released about how the founder used Cluely to cheat on a romantic date. The video gets more than 20 million views. 6. In May, the startup announces that it is releasing a product “with which you can cheat anywhere,” and not just at interviews. For example, discreetly peek at cheat sheets during conversations with clients, patients, employees, etc. 😉 7. In June, the police break up a startup party held during the Y Combinator AI school. Cluely is already making over $400,000 a month and is raising another $15 million in funding from a16z. 8. What have you done in the last couple of months to attract as much attention as you have?
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Development is not an "improvement" 1. Development is not an "improvement". Because after improvement, it's the same thing, but better 😉 And development is a transition to a qualitatively new level. That is, transformation into something else. 2. Roughly speaking, Facebook developed when it was transformed from a dating app first into an illustrated catalog of Harvard students, and then into a social network. After that, Zuckerberg began trying to turn Facebook into a virtual world, but he hasn't succeeded yet. 3. Airbnb developed when it was transformed from a flophouse with inflatable mattresses first into a service for moving guests into a spare room, and then into a business renting out apartments and houses for short terms. And now Brian Chesky wants to turn Airbnb into an app for any experience and impressions related to travel. And even to life in general. 4. It is worth noting separately that "expansion", "scaling", "entering new countries" are still improvements, not development. Because everything remains the same. Only the size changes. 5. And "development" is when you are able to perceive what you have done only as a preparatory stage for something new. And regardless of the stage, size and success - from small unsuccessful startups to large successful companies. 6. And from here a very interesting and promising question immediately follows. What you already have now is a preparatory stage for what?
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Leading metrics are not only for startups, but also for ordinary people! 1. Any self-respecting startup evaluates its progress not just by revenue growth, but by so-called "leading" metrics. These metrics reflect which indicators are improving today - which will affect revenue growth tomorrow. 2. Mark Zuckerberg was almost the first to draw attention to such metrics - noticing that those who continued to use Facebook were those who had friended at least 10 people within 14 days of registration. Therefore, Facebook immediately began to persistently offer new users friend candidates. 3. The trick is that such leading metrics are not only for startups, but also for ordinary people! 4. It is clear that you can evaluate your progress, for example, by how much more you began to earn. But will this progress continue?
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What automation brings in money? The guy has already made fifty automations, but he started making money on them only two weeks ago. Moreover, in 2 weeks he has already thrashed out almost $20K, which looks good for a start 😉 He also shared the conclusions he made when he started making money. And these conclusions seemed very useful to me for startups, many of which are also actually creating platforms for automating something. 1. What does not bring money in automation: — Something that is designed to solve a problem that you yourself do not have. Because you start to come up with cool crap that no one really needs. — Automation that saves 10 minutes, but which takes 10 hours to create. Ideally, it should be the other way around 😉 — Cool methods for automating what a freelancer can do cheaply. — “Revolutionary” automation algorithms that only work with ideal initial data.
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Startups Based on the Jevons Paradox 1. The Jevons paradox was formulated back in the 19th century. Its essence is that technological progress that increases the efficiency of using a resource ➞ leads to an increase in the volume of consumption of this resource. Now this paradox has been remembered in connection with the advent of AI. 2. As Microsoft CEO Satya Nadella tweeted in January: “The Jevons paradox has struck again. As AI becomes more efficient and accessible, we will see its use skyrocket. As a result, AI will become a common tool - but one that we will not be able to get enough of for a long time” 😉 3. It turns out that the recipe for a startup based on the Jevons paradox is very simple. You need to find something that few people or companies use now, because it is long, expensive and a pain in the ass. And make it simpler, more convenient and accessible with the help of AI.
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Crazy Smart Unicorns 1. I started watching the Thai series "Crazy Unicorn" on Netflix based on the story of the emergence of the first Thai billion-dollar startup. By the way, the series turned out to be pretty good. But that's not the point. 2. The point is that once again it became clear that billion-dollar startups are about three things. 3. First, to see what already exists. 4. Second, to create business processes that allow you to quickly and unlimitedly scale it. 5. Third, to be immediately ready to compete for a place in the sun with two types of players - old ones, from whom you take away business, and new ones who are trying to do the same thing as you. 6. Therefore, the key to success is not to engage in invention, not to strive for uniqueness, to look wider, to hire the best and have balls of steel. 7. And everything else will follow.
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$3 billion is just the price of an appetizer to whet your appetite! 1. "The fact that AI can generate program code is just an appetizer to whet your appetite," said the founder of the AI ​​programming platform Windsurf. 2. "Because real software engineering is the ability to design and debug entire software systems. And AI platforms that learn to do this will be a real breakthrough." 3. Moreover, this "appetizer", the Windsurf startup itself, I mean, Open AI, is now buying for $3 billion. So how much will these "engineering platforms" cost then 😱 4. In other words, around what AI has already learned to do in any area, there is a whole set of "supersystems" and "subsystems" that are not yet available to it. And the real breakthrough will be when AI gets to them. Therefore, the main money will be earned by those startups whose AIs can handle them.
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How to increase the value and price of your product? 1. Product development is similar to agriculture 😉 Which, as we were taught in school, can be developed "extensively" (adding land) or "intensively" (improving agricultural technologies). I hope you remember which method is more progressive 😉 2. Products can also be developed "extensively" or "intensively". The extensive path is adding new functions that revolve around the same thing. The intensive path is adding qualitatively new properties that bring the user closer to the desired end result. 3. Let's take, for example, an AI machine that collects a database of local companies for possible purchase. The extensive path of its development is adding industries, regions and search criteria. But the ultimate goal of the user of such a database is to make money on the purchased company!
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It's easier than taking someone's job 1. It is often said that the task of a startup is to make a product that takes someone's job. But this is not always true! Let's take, for example, small companies that provide offline services - for example, installation and repair of plumbing, air conditioners or something similar. 2. The trick is that the employees and the owners of such companies are always on the road with clients. As a result, they simply do not have the time to sit down and search for new clients. And they simply do not have the money to hire freelancers and agencies to do this. 3. Now let's imagine that we made and gave them an AI machine that searches for such companies for clients in their area and according to their specifics. 4. But in this case, you can't say that we are "taking someone's job"! Because the companies themselves practically do not do it and do not hire anyone for it. So there is no one to take this work from 😉
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