<|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 2019-01-02 23:00:01, KidsFootLocker from company foot locker tweeted. The tweet was "Go NY Go NY Go! 🏀

This fresh <mention> #Nike Hoodie is in select stores and online! &gt; <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-23 15:00:09, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "if you want to wear a hoodie with <mention> all over it, we definitely understand... 💕
<hyperlink> <hyperlink>". This tweet got 283 number of likes. 
2. On 2018-03-22 21:03:07, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "So. Cute. 🌴 Your new go-to backpacks from <mention> are online now: <hyperlink> <hyperlink>". This tweet got 179 number of likes. 
3. 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. 
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
