<|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 2018-02-14 18:00:33, ProCoachCricket from company coach tweeted. The tweet was "It was a #ValentinesDay match for our competition winners and their new <mention> bats! Big thank you to the guys at GM for hosting us today and showing us how their world famous bats are made 🏏😍 <hyperlink>". The most similar tweets were, 
1. On 2018-11-01 17:38:00, Cricketnation handle of company cricket wireless tweeted. The tweet was ".<mention> Superstar <mention> is embracing the hug on set with #CricketNation! Be on the lookout for our new holiday commercial, coming soon! <hyperlink>". This tweet got 2249 number of likes. 
2. On 2018-11-18 04:01:25, Cricketnation handle of company cricket wireless tweeted. The tweet was "We're thankful to have teamed up with <mention> to bring smiles to <mention> on Friday! #CricketCares <hyperlink>". This tweet got 524 number of likes. 
3. On 2018-06-27 16:36:32, Cricketnation handle of company cricket wireless tweeted. The tweet was "We had such a great time at our Live Q&amp;A with <mention> Superstar <mention> - thanks for tuning in! #AskBayley <hyperlink>". This tweet got 496 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
