How to make social "likes" useful in the work of a programmer?
In order to be a cool programmer you need to program a lot.
But it is also important to replenish your knowledge through reading interesting and new. You can receive information from many sources, before for me it was blogs and RSS feed. But over time, I came to the conclusion that almost all of the most interesting I get from 3 places: twitter , github , stackoverflow .
All of these sites have one common feature, content that seems interesting to you, it is easy to mark as liked. If I see a link to an interesting blog post on Twitter, a new gitkhab framework or a question on a stack flow, I will definitely put a “like”. Thereby, I show my gratitude to the author of the content. But is it possible to get something more from “likes”?
An experienced programmer, always knows - "it has already been decided before me . " Therefore, when working on an applied task, you understand that you have already read it somewhere. But there can be a difficulty - to remember exactly where you saw it was very difficult (whether it was a blog post, a ready-made solution for a githab or a useful answer to a glassfree). A search engine can help, but not always - the key phrase may not be specific enough to find the exact source you need.
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I would like to share the product that we are developing and which is designed to solve this problem - Likeastore .
Likeastore, allows you to connect social networks in one account. After that, he will collect all your likes, index and give the opportunity to search for them. The process of the initial collection of “likes” is very fast, so the first results on the board will appear immediately after connecting the network, as a rule, it usually takes some time to index.
I will give a simple example of use: I am starting the development of a new SPA (single page application) application. At the same time, it is important to solve the problem of SEO (search engine optimization). I remember that I saw a lot of approaches to this problem, depending on the platform, the front end of the framework, etc. But I know for sure that there was a solution that I liked the most. I try a request to yandex - “seo spa server side render” and get the result in 89 thousand pages. Maybe there will even be what I'm looking for - but I need to spend a lot of effort to look through all the search results.
I can try the same search criteria in Likeastore , and my answer will be:
And here I see that the thing I need is a prerender , which I once “liked” on a githab - profit!
Start collecting all your likes today and tomorrow they will be useful.
But it is also important to replenish your knowledge through reading interesting and new. You can receive information from many sources, before for me it was blogs and RSS feed. But over time, I came to the conclusion that almost all of the most interesting I get from 3 places: twitter , github , stackoverflow .
All of these sites have one common feature, content that seems interesting to you, it is easy to mark as liked. If I see a link to an interesting blog post on Twitter, a new gitkhab framework or a question on a stack flow, I will definitely put a “like”. Thereby, I show my gratitude to the author of the content. But is it possible to get something more from “likes”?
An experienced programmer, always knows - "it has already been decided before me . " Therefore, when working on an applied task, you understand that you have already read it somewhere. But there can be a difficulty - to remember exactly where you saw it was very difficult (whether it was a blog post, a ready-made solution for a githab or a useful answer to a glassfree). A search engine can help, but not always - the key phrase may not be specific enough to find the exact source you need.
')
I would like to share the product that we are developing and which is designed to solve this problem - Likeastore .
Likeastore, allows you to connect social networks in one account. After that, he will collect all your likes, index and give the opportunity to search for them. The process of the initial collection of “likes” is very fast, so the first results on the board will appear immediately after connecting the network, as a rule, it usually takes some time to index.
I will give a simple example of use: I am starting the development of a new SPA (single page application) application. At the same time, it is important to solve the problem of SEO (search engine optimization). I remember that I saw a lot of approaches to this problem, depending on the platform, the front end of the framework, etc. But I know for sure that there was a solution that I liked the most. I try a request to yandex - “seo spa server side render” and get the result in 89 thousand pages. Maybe there will even be what I'm looking for - but I need to spend a lot of effort to look through all the search results.
I can try the same search criteria in Likeastore , and my answer will be:
And here I see that the thing I need is a prerender , which I once “liked” on a githab - profit!
Start collecting all your likes today and tomorrow they will be useful.
Source: https://habr.com/ru/post/209328/
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