<|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 2018-03-17 19:21:04, BarRescue from company bar tweeted. The tweet was "While this owner's son hides from the customers, all their possible profit fades away. #BarRescue is back with a new episode this Sunday at 10/9c on <mention>! <hyperlink>". The most similar tweets were, 
1. On 2018-03-11 19:04:09, BarRescue handle of company bar tweeted. The tweet was ".<mention>​ has his hands full with this family. #BarRescue returns with a brand new season tonight at 10/9c on <mention>! <hyperlink>". This tweet got 88 number of likes. 
2. On 2020-05-04 01:59:57, BarRescue handle of company bar tweeted. The tweet was "An all new episode of #BarRescue starts now on <mention>! <hyperlink>". This tweet got 74 number of likes. 
3. On 2019-04-01 03:05:17, BarRescue handle of company bar tweeted. The tweet was "The owners are no longer at a crossroads. Incredible job <mention> and his team! #BarRescue <hyperlink>". This tweet got 77 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
87<|im_end|>
