<|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 2018-09-12 21:12:25, FootLockerWomen from company foot locker tweeted. The tweet was "Pulled from the archives for today’s trend. #Falcon as styled by <mention> for <mention> 
Available In-store and Online now. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-04-02 14:00:12, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "Give your boots a break: new sandals from <mention> are everything right now.
<hyperlink> <hyperlink>". This tweet got 487 number of likes. 
2. On 2020-07-18 21:22:09, primevideosport handle of company amazon tweeted. The tweet was "Referee Jon Moss has this on his footwear. 

Not sure what to make of that.

#ARSMCI <hyperlink>". This tweet got 372 number of likes. 
3. On 2018-11-07 22:27:40, FootySuperTips handle of company free tweeted. The tweet was "Tweet of the night goes to <mention> 😂👏 <hyperlink>". This tweet got 45 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
