<|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 2018-01-02 11:32:00, BBCR1 from company bbc tweeted. The tweet was "Trying to stay motivated on the most Monday-like Tuesday ever? 😴

Listening back to <mention>'s Superstar Playlist should put a smile on your face 👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-04 08:32:08, MTNNG handle of company mtn tweeted. The tweet was "We know it’s never easy transitioning from the weekend to a Monday 😪. So tell us, what’s that playlist that gets you through a Monday morning? 
#GetInspired #MondayMotivation <hyperlink>". This tweet got 76 number of likes. 
2. On 2019-10-24 14:53:34, MetroUK handle of company metro tweeted. The tweet was "Who else is struggling to get motivated today? 😫 <hyperlink>". This tweet got 99 number of likes. 
3. On 2018-03-26 01:39:12, CBCMusic handle of company cbc tweeted. The tweet was "#MotivationMonday on a Sunday from  album of the year winner <mention> #JUNOS

<hyperlink> <hyperlink>". This tweet got 142 number of 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
