<|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 2019-07-03 10:15:57, Airbnb_in from company airbnb tweeted. The tweet was "Tucked inside a 10-acre coffee plantation, Ankita’s welcoming villa in Coorg lets you wake up and - literally - smell the coffee.
 
Find an Airbnb you love: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-06 10:16:01, nomacph handle of company restaurant tweeted. The tweet was "Our beautiful lounge as seen from the coffee station! 🙌🏻 <hyperlink>". This tweet got 53 number of likes. 
2. On 2018-02-23 18:43:01, nomacph handle of company restaurant tweeted. The tweet was "We are madly in love with our new restaurant - here is our dining room and entrance building seen by night! For almost two years we have been working with architect <mention> from BIG on making this a reality - we are so happy with our new home! #NomaOcean <hyperlink>". This tweet got 178 number of likes. 
3. 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. 
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
