<|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 2019-04-17 14:40:00, CNN from company cnn tweeted. The tweet was "This tiny electric car is made for the city <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-03-23 07:31:00, CNN handle of company cnn tweeted. The tweet was "This company is powering cars with cactus juice <hyperlink> <hyperlink>". This tweet got 1027 number of likes. 
2. On 2020-12-06 16:30:07, CNN handle of company cnn tweeted. The tweet was "Watch this prototype flying car complete its first flight <hyperlink> <hyperlink>". This tweet got 773 number of likes. 
3. On 2020-07-25 15:31:05, CNN handle of company cnn tweeted. The tweet was "Bugatti is selling a $35,000 electric car for kids <hyperlink> <hyperlink>". This tweet got 533 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
768<|im_end|>
