What can the success of Kuaishou teach us?

Kuaishou CEO Su Hua came to our company to give two speeches. Through these two speeches, I began to pay attention to Kuaishou and Su Hua.

 

I downloaded Kuaishou and took a few minutes to quickly experience this app, which is said to have 50 million active users and 450 million users. The first impression is that it is very simple, and the entire product interface has nothing fancy, which is highly praised. Next, I watched more than a dozen short videos. The content was varied, most of which were related to the lives of ordinary people. They were down-to-earth and well received. The whole process of browsing, downloading, and playing is very smooth, the performance is good, and it is highly praised. However, the product does not have the search function or classification function that the general content APP has, and the social attributes are also weakened, which is where I am more confused.

 

However, Su Hua's speech gave me the answer. He and his team have always pursued the simplicity and restraint of the product. Although they tried thousands of features, they removed or weakened them when they found that they did not fit their product positioning or were not accepted by users. It is actually very difficult to have the courage to do subtraction. Even in a large company like BAT, many products are constantly doing additions, and they rarely want to do subtraction (excluding those to improve performance or reduce installations). package size optimization). To achieve the simplicity of the product, Kuaishou's technical team has done a lot of work. For more accurate personalized recommendations, Kuaishou continuously optimizes the recommendation algorithm behind it. This just meets the needs of users, the operation is simple, and at the same time, you can see the content you want to watch (saving yourself from actively searching).

 

Su Hua's speech emphasized two principles: first principles and incompleteness theorems. "First principles" is a term in quantum mechanics that means calculating ab initio, taking only the most basic facts, and then inferring from the facts. The essence of this is that we should break down the problem into a few basic facts, and then examine each factual part. Even if the problem has been solved, we still have to start with the most basic components of the problem and re-examine whether there are better, possible solutions. First principles also apply to our work, guiding how we analyze and solve problems and optimize existing solutions.

 

As for the incompleteness theorem, I hope to hear your understanding.

Guess you like

Origin http://43.154.161.224:23101/article/api/json?id=326394064&siteId=291194637