<|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 2018-08-27 18:54:50, bbcstrictly from company bbc tweeted. The tweet was "So many sequins! <mention>, <mention> and <mention> show us some #Strictly Red Carpet moves <hyperlink>". The most similar tweets were, 
1. On 2020-12-11 20:00:01, OnyxEquinoxShow handle of company equinox tweeted. The tweet was "Episode 4 premieres on <mention> TOMORROW at 1PM PT! #OnyxEquinox <hyperlink>". This tweet got 562 number of likes. 
2. On 2020-12-26 21:00:00, OnyxEquinoxShow handle of company equinox tweeted. The tweet was "Every Episode of #OnyxEquinox is available on <mention>!

🩸BINGE NOW: <hyperlink> <hyperlink>". This tweet got 595 number of likes. 
3. On 2020-11-21 17:00:00, OnyxEquinoxShow handle of company equinox tweeted. The tweet was "FOUR HOURS LEFT! Watch the world premiere of #OnyxEquinox on <mention> at 1PM PT! <hyperlink>". This tweet got 648 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
