<|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 2019-01-27 16:00:01, BarRescue from company bar tweeted. The tweet was "No excuses! #BarRescue is playing right now on <mention>. 👊 <hyperlink>". The most similar tweets were, 
1. On 2018-07-29 22:00:00, BarRescue handle of company bar tweeted. The tweet was "RT if you've been watching #BarRescue all day! 🍻 <mention> <hyperlink>". This tweet got 82 number of likes. 
2. On 2020-04-26 15:00:01, BarRescue handle of company bar tweeted. The tweet was "Happy #BarRescue Sunday! <mention> is headed to help out <mention> tonight at 10/9c on <mention>. <hyperlink>". This tweet got 117 number of likes. 
3. On 2018-04-23 02:00:00, BarRescue handle of company bar tweeted. The tweet was "A new #BarRescue is starting right now! <hyperlink>". This tweet got 116 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
67<|im_end|>
