<|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 2019-05-23 14:22:12, Barclaycard from company barclaycard tweeted. The tweet was "Find out how <mention> got his first big break 📝 

Bag #tickets to see him perform live this June🎤– and get 5% back with your Barclaycard: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-01-20 19:38:53, ChampionsCup handle of company heineken tweeted. The tweet was "💬 "Very, very happy that we could do it for the community."

A big night for <mention> as they book their place in the knockout stage for the first time since 2007. <hyperlink>". This tweet got 300 number of likes. 
2. On 2020-05-07 21:26:00, OriginalFresca handle of company bacardi tweeted. The tweet was "<mention> I honestly can’t wait for it to arrive and see what happens <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-05-27 22:54:40, Mastercard handle of company mastercard tweeted. The tweet was "He 🌹 to the occasion! Congrats to <mention> on a big #FWI18 win! 🙌#StartSomethingPriceless <hyperlink>". This tweet got 229 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
