<|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 2019-02-21 08:00:01, Airbnb_uk from company airbnb tweeted. The tweet was "Soak up ocean breezes from your rooftop terrace at Pierre's home in Cape Verde. 

Photo: @ francinepips <hyperlink>". The most similar tweets were, 
1. On 2019-12-17 08:08:32, thisisWurlD handle of company free tweeted. The tweet was "Tonight’s Parte’ Vibe  at moist beach Oniru. Pull up let’s have a good time 🦋 <hyperlink>". This tweet got 87 number of likes. 
2. 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. 
3. On 2020-12-17 20:24:01, AAASouthPenn handle of company aaa tweeted. The tweet was "These oceanfront hotels on Florida’s Atlantic coast have it all: sunrise views, beach access and AAA’s Best of Housekeeping award. #AAATravel <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
