<|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 2018-12-12 17:12:05, Airbnb_uk from company airbnb tweeted. The tweet was "In the itty-bitty town of Knuffingen, cosy up in a bed the size of a postage stamp, then wrap presents under the towering 4cm tall Christmas tree. The world's tiniest home on Airbnb is open to guests for the first time ever. All proceeds go to charity: <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 2020-12-01 20:00:04, AAAOklahoma handle of company aaa tweeted. The tweet was "Be the envy of your neighbors by making your holiday decor the best dressed on the block!<hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-12-08 20:00:03, AAAOklahoma handle of company aaa tweeted. The tweet was "Be the envy of your neighbors by making your holiday decor the best dressed on the block!<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
