<|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 2018-10-09 01:31:00, CNN from company cnn tweeted. The tweet was "Cat lovers, we found your dream vacation spot. It's in Hawaii, by the way: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-08 20:51:00, CNN handle of company cnn tweeted. The tweet was "Cat lovers, we found your dream vacation spot. It's in Hawaii, by the way: <hyperlink> <hyperlink>". This tweet got 582 number of likes. 
2. On 2018-05-07 09:23:26, CNN handle of company cnn tweeted. The tweet was "Hawaii authorities are warning that "this is not the time for sightseeing" <hyperlink> <hyperlink>". This tweet got 579 number of likes. 
3. On 2020-01-02 12:23:42, CNN handle of company cnn tweeted. The tweet was "The 20 best places to visit in 2020 <hyperlink> <hyperlink>". This tweet got 566 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
822<|im_end|>
