download
- https://twittervideodownloader.com/download
- https://ssstwitter.com/result_normal?en
- https://tweeload.com/download/1869571030794272896
- https://twitsave.com/
statics
superx
I would like to ask you, Is there any Twitter tool that can let me view the popular posts of a specific account,
such as the most viewed posts in a specified time.
Just found one these two days, recommend it to everyone:
https://quo.im/superx
superx.tools Just shared this in the group yesterday. It seems that there was a plug-in called blackmagic that can also be used.
how to gain twitter influence
English Twitter operation strategy:
"Crazy" reply to other people's posts.
Divide the day into three time periods (close to the European and American time zones), and invest 40 minutes each time.
Use x pro as a tool.
Organize several lists: big Vs, indie makers, those you want to link (such as your potential users), and those you follow.
Reply according to the list, pay attention to replying to relatively new posts as much as possible, and the output content should be valuable.
If you are not confident in English, I recommend http://tweeteasy.io from #kfc4.me Batch2 member @kfc4.me, which can help you with one-click smart reply.
In addition, write at least 1 post every day, and you can also repost, mainly to let others know that you are active.
Algorithm
Twitter #Twitter Recommendation Algorithm Research Type Weight Score Upper Limit Like +0.5 points 100 points Retweet +1.0 points 100 points Reply +13.5 points 100 points Visit personal homepage +12 points 1000000 points Video played +0.005 points 100 points Author reply +75 points 200 points Reply to reply +11 points 1000000 points Browse for 2 minutes +10 points 1000000 points Negative reaction -74 points -1000 points Reported -369 points -20000 points
Total score algorithm score = sum_i { (weight of engagement i) * (probability of engagement i) }
Total score = weight * number of participants
For example, if 10 users like a tweet, the weight of the like is +0.5 points, and the number of participants is 10 users, that is 0.5 * 10 = 5. The total weight is 5 points.
Source of tweet algorithm and total score algorithm: https://github.com/twitter/the-algorithm-ml/blob/main/projects/home/recap/README.md