<|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 2019-03-15 16:00:00, Specsavers from company specsavers tweeted. The tweet was "We're continuing the #FunRaising all day to celebrate #RedNoseDay2019! Here's the team in Tottenham wearing our special novelty specs, buy yours for 'jest' £2 to help raise money for <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-02-16 18:48:06, Mastercard handle of company mastercard tweeted. The tweet was "Excited for The #BRITs? Catch all the action LIVE on <mention> at 3pm ET on 2/20. Get ready to #StartSomethingPriceless. <hyperlink> <hyperlink>". This tweet got 43 number of likes. 
2. On 2019-07-18 14:01:00, FootySuperTips handle of company free tweeted. The tweet was "ONE WORD to describe Tottenham's new home kit!

👇

(📷: <mention>) <hyperlink>". This tweet got 84 number of likes. 
3. On 2018-03-29 15:26:30, paytminsider handle of company paytm tweeted. The tweet was "Cheer for your favourite team from the stands! Watch <mention> matches live! Book your tickets: <hyperlink> <hyperlink>". This tweet got 133 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
