<|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 2018-08-13 13:00:01, Airbnb from company airbnb tweeted. The tweet was "Here's to 10 years of welcome hugs, hand-drawn maps, changed perspectives, home-cooked breakfasts, and nostalgic guest book entries that have brought the world closer together. <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 2019-04-04 14:25:39, CBCKids handle of company cbc tweeted. The tweet was "Happy #HugANewspersonDay! We're celebrating by remembering all these great hugs with our pals <mention>, <mention> and <mention>! Thanks for joining #HugClub! <hyperlink>". This tweet got 45 number of likes. 
3. 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. 
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
