<|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 2018-01-08 16:28:06, Aaryn_Williams from company williams tweeted. The tweet was "Just got our copy of the <mention> catalogue! Skyla is a doll :) <hyperlink>". The most similar tweets were, 
1. On 2018-07-14 23:24:32, Aaryn_Williams handle of company williams tweeted. The tweet was "“I have a voucher so I want to go get Skyla another <mention>” - Me

“We can go to Target and get one fully assembled for half the price.” - Nick <hyperlink>". This tweet got 353 number of likes. 
2. On 2018-01-07 17:34:59, Aaryn_Williams handle of company williams tweeted. The tweet was "Just playing #LittlePeople with Skyla! She LOVES these toys! <mention> <hyperlink>". This tweet got 117 number of likes. 
3. On 2018-03-01 23:09:37, Aaryn_Williams handle of company williams tweeted. The tweet was "Skyla says thank you now when we leave stores and I can’t get enough of her cute little voice! I melt <hyperlink>". This tweet got 174 number of likr 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
538<|im_end|>
