<|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 2020-04-04 23:08:48, FootLockerWomen from company foot locker tweeted. The tweet was "Family business ✨ Shop <mention>  online now! Back after its first launch by <mention>, sisters <mention> and <mention>  are stepping into their power 🔥<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-21 22:43:47, nailogical handle of company no tweeted. The tweet was "Welcome to my closet ☺️🧦

Shop my stylish wardrobe here➡️ <hyperlink>
#RootsPartner <mention> #affiliate #InternationalSweatpantsDay <hyperlink>". This tweet got 1618 number of likes. 
2. On 2020-02-02 18:19:43, ShopRiteStores handle of company shoprite tweeted. The tweet was "<mention> <mention> <mention> <mention> All of us right now. <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-11-26 15:14:01, AAAOklahoma handle of company aaa tweeted. The tweet was "NEW! Shop online with <mention> and save on this season's hottest styles. Shop now.<hyperlink> <hyperlink>". This tweet got 0 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
