<|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 2020-01-09 19:16:38, Spotify from company spotify tweeted. The tweet was "<mention> <mention> One last message from <mention> to you, the fans, in #RareStories ❤️ <hyperlink>". The most similar tweets were, 
1. On 2020-01-09 18:52:19, Spotify handle of company spotify tweeted. The tweet was "<mention> Why #Rare? <mention> explains in #RareStories 🙌 <hyperlink>". This tweet got 2622 number of likes. 
2. On 2018-07-19 16:01:24, SpotifyUK handle of company spotify tweeted. The tweet was "// <mention> - L O V E  I T  I F  W E  M A D E  I T // 
L I S T E N  N O W 
<hyperlink> <hyperlink>". This tweet got 5199 number of likes. 
3. On 2018-02-23 09:15:14, SpotifyUK handle of company spotify tweeted. The tweet was ".<mention> Want You Back.
Listen now. 
<hyperlink> <hyperlink>". This tweet got 9909 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
3946<|im_end|>
