<|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 2018-09-22 17:00:01, housewithaclock from company house tweeted. The tweet was "In this house, weird is wonderful. See The House With a Clock In Its Walls in theaters TODAY. Get tickets: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-09-21 17:42:24, AMCTheatres handle of company amc tweeted. The tweet was "There's something evil in the house. #HouseWithAClock is now playing! Get tix: <hyperlink> <hyperlink>". This tweet got 30 number of likes. 
2. On 2020-09-03 22:35:42, MerEaton handle of company eaton tweeted. The tweet was "#TBT to that time Dr. House got a little too personal #ThrowbackThursday <hyperlink>". This tweet got 194 number of likes. 
3. On 2020-08-11 07:30:00, amazonIN handle of company amazon tweeted. The tweet was "Make your house a home with the best deals on home essentials! Shop now at the Amazon Freedom Sale! Click here to shop now: <hyperlink> <hyperlink>". This tweet got 236 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
