<|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 2018-03-13 14:29:16, bbcweather from company bbc tweeted. The tweet was "Meet the #minibeast. It may not be as beastly as last time, but could still bring some #snow this weekend. <hyperlink>". The most similar tweets were, 
1. On 2019-01-28 21:43:05, AAASouthJersey handle of company aaa tweeted. The tweet was "Looks like we’re going to miss any heavy snow. <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-10-30 14:48:01, Rtreatwilliams handle of company williams tweeted. The tweet was "Snow is here early <hyperlink>". This tweet got 625 number of likes. 
3. On 2018-06-11 01:29:05, totalbellas handle of company total tweeted. The tweet was "And now, the local weather. 😂 #TotalBellas <hyperlink>". This tweet got 1013 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
