<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2018-11-29 16:45:55, MeCookieMonster from company monster tweeted. The tweet was "Me got new phone background today. Now me want to eat me phone. <hyperlink>". The most similar tweets were, 
1. On 2018-08-14 20:55:17, MeCookieMonster handle of company monster tweeted. The tweet was "Me see <mention>’s headband of the day and me raise me friends to cookie of the day! Me may have started eating it already... <hyperlink>". This tweet got 3956 number of likes. 
2. On 2018-01-16 15:52:48, MeCookieMonster handle of company monster tweeted. The tweet was "Me: Me going to be very productive today! 

Also me: <hyperlink>". This tweet got 3715 number of likes. 
3. On 2019-02-06 19:02:48, MeCookieMonster handle of company monster tweeted. The tweet was "ATTENTION! Me doing <mention> AMA right now. Come ask me questions! <hyperlink> <hyperlink>". This tweet got 3451 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
4834<|im_end|>
