<|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 2018-11-05 18:39:40, Airbnb from company airbnb tweeted. The tweet was "Across the 191 countries in our community, China has the highest percentage of creatives—one in five—among home hosts.

Read more about our global creative community: <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 2019-09-02 11:18:01, CiscoUKI handle of company cisco tweeted. The tweet was "#MondayMotivation alert! 

Earlier this year we championed creativity and collaboration at the Coolzine Simultaneous Exhibition 🎨

Learn how <mention> connected art-lovers from across Europe: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-06-19 08:55:28, AccentureSong handle of company accenture tweeted. The tweet was "How can #AI empower human creativity? <mention>'s ECD Alan Kelly shares examples from the most innovative brands: <hyperlink> #GreaterExperiences #CannesLions <hyperlink>". This tweet got 243 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
