<|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 2018-05-25 09:13:01, SpotifyUK from company spotify tweeted. The tweet was "#Entertainer
Turn up the new track from <mention> 🔊
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-24 12:30:00, SpotifyUK handle of company spotify tweeted. The tweet was "#WeMadeIt 🔝
It’s the new track from <mention>. Listen now <hyperlink> <hyperlink>". This tweet got 2634 number of likes. 
2. On 2018-09-13 16:01:31, Spotify handle of company spotify tweeted. The tweet was "#GTFO
The new <mention> track is out now!
<hyperlink> <hyperlink>". This tweet got 3160 number of likes. 
3. On 2018-05-25 20:57:26, SpotifyUSA handle of company spotify tweeted. The tweet was "✉️ <mention> has a message for his favorite #Entertainer in his new song. Listen now 👉<hyperlink> <hyperlink>". This tweet got 18384 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
1689<|im_end|>
