<|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 2018-11-23 13:07:10, ASUSUK from company asus tweeted. The tweet was "Check out all of our amazing #BlackFriday #Deals on the #ASUS online store!
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-11-26 01:00:03, ASUSUSA handle of company asus tweeted. The tweet was "Psst... Here are those ASUS &amp; ROG #BlackFriday deals you were looking for 😉 👉<hyperlink> <hyperlink>". This tweet got 32 number of likes. 
2. On 2020-11-30 13:00:01, ASUSUK handle of company asus tweeted. The tweet was "Today's your LAST CHANCE to get your hands on all our #BlackFriday and #CyberMonday Deals! 😱

Don't miss out: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-04-19 10:00:56, ASUSUK handle of company asus tweeted. The tweet was "No need to go searching high and low for the best #ASUS deals this #Easter! 🐣🐣🐣

We'll have them all here for you over the Easter weekend - Stay tuned! #ASUSEasterTreats <hyperlink>". This tweet got 3 number of likr 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
2<|im_end|>
