<|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 2020-08-15 14:00:23, Airbnb from company airbnb tweeted. The tweet was "cleansing your timeline with some cello meditation courtesy of online experience host <mention>—just in time for national relaxation day.

👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-02-15 12:45:01, AAASouthPenn handle of company aaa tweeted. The tweet was "Does the idea of spending time someplace warm &amp; fun sound appeal right now?
We can help! <hyperlink> #ThrowbackThursday <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-04-04 12:13:01, AAAOklahoma handle of company aaa tweeted. The tweet was "How are you spending your time at home? Here are some ideas to pass the time. <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-04-02 16:35:00, AAAOklahoma handle of company aaa tweeted. The tweet was "How are you spending your time at home? Here are some ideas to pass the time. <hyperlink> <hyperlink>". This tweet got 0 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
