<|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 2018-03-14 01:54:55, footlocker from company foot locker tweeted. The tweet was "Crisp. #champion Pigment Dye Hoodies + Sweats 
Available in-store now! <hyperlink>". The most similar tweets were, 
1. On 2019-04-07 21:00:06, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "these brand new leopard print sandals arrived just in time for our 20% off shoes sale 😍
<hyperlink> <hyperlink>". This tweet got 149 number of likes. 
2. On 2019-08-04 14:00:11, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "sneakers that scream summer via <mention> 
<hyperlink> <hyperlink>". This tweet got 155 number of likes. 
3. On 2018-10-06 00:00:09, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "these colors 👏  <mention> <hyperlink> <hyperlink>". This tweet got 164 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
