<|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 2019-05-04 14:00:02, footlocker from company foot locker tweeted. The tweet was "One of the best sneakers ever. 
#Jordan Retro 4 OG 'BRED' ⚫️🔴
Available Now, In-Store and Online
Men's and Kids

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-17 15:00:18, belk handle of company belk tweeted. The tweet was "Tweet us your #BelkStyle sole mate – block heels, sneakers or wedges? #TuesdayShoesday <hyperlink> <hyperlink>". This tweet got 146 number of likes. 
2. On 2018-12-28 11:41:48, HudMo handle of company hudson tweeted. The tweet was "I own a fuck ton of sneakers but proud to say got through 2018 without acquiring a single pair of orthopedic/ diabetic / club foot lookin pairs thank fuck. #blessed <hyperlink>". This tweet got 165 number of likes. 
3. On 2020-10-05 03:30:32, funnybrad handle of company williams tweeted. The tweet was "When FootLocker has shoes in my size that don’t have cartoon characters on them 
 <hyperlink>". This tweet got 360 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
