<|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 2020-05-03 15:00:01, AMCtvUK from company amc tweeted. The tweet was "Fancy a break from your latest stay-at-home project? We've got you covered! Halt &amp; Catch Fire double bill | Tonight @ 9:00 pm 🚀 ⌨️ <hyperlink>". The most similar tweets were, 
1. On 2020-04-19 13:56:00, AMCtvUK handle of company amc tweeted. The tweet was "Get cosy tonight with a Halt and Catch Fire double bill from 9pm 🖥️🖱️ <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-09-09 11:00:00, AMCtvUK handle of company amc tweeted. The tweet was "Crack open a cold one with the #HaltAndCatchFire gang, tonight at 9! <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-03-15 08:45:00, AMCtvUK handle of company amc tweeted. The tweet was "Just a few more minutes...please? 😴 #WorldSleepDay <hyperlink>". This tweet got 2 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
17<|im_end|>
