<|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 2018-04-12 17:10:30, Airbnb from company airbnb tweeted. The tweet was "Looking for #AGoodNight? 

Check out this curated list of #AirbnbExperiences by our friend <mention>. 

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-22 09:52:24, evanwilliams handle of company williams tweeted. The tweet was "This Airbnb review takes a really unexpected turn. <hyperlink>". This tweet got 112 number of likes. 
2. On 2020-04-10 00:48:33, IndependentNGR handle of company independent tweeted. The tweet was "Airbnb Restricts Bookings On Its Platform In Britain <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-07-30 06:16:19, thisisWurlD handle of company free tweeted. The tweet was "Late nights! Early mornings 🦋 <hyperlink>". This tweet got 109 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
