<|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 2019-04-25 00:00:01, KidsFootLocker from company foot locker tweeted. The tweet was "Cool style. Cozy comfort. 

The new <mention> Oryion Script are perfect for that Spring rotation. Pick them up in stores or online! &gt; <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-24 23:59:01, HobbyLobby handle of company hobby lobby tweeted. The tweet was "Get spring-ready with these floral wardrobe upgrades: <hyperlink> <hyperlink>". This tweet got 6 number of likes. 
2. On 2018-02-27 17:30:11, WalmartInc handle of company walmart tweeted. The tweet was "Spring into the new season with style from four new apparel brands! <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
3. On 2018-03-13 14:00:01, TommyHilfiger handle of company tommy hilfiger tweeted. The tweet was "Introducing spring’s freshest kicks. 
<hyperlink> <hyperlink>". This tweet got 149 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
