<|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 2018-05-16 10:26:05, BBCR1 from company bbc tweeted. The tweet was ".<mention> strip back <mention>'s 'Never Be The Same' in the Live Lounge and it's stunning ✨

Missed it? Watch in full here 👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-05-24 14:06:18, Tesco handle of company tesco tweeted. The tweet was "<mention> <mention> There's nothing better than this classic! - Andy 🍏🍎

#EveryLittleHelps

<hyperlink> <hyperlink>". This tweet got 134 number of likes. 
2. On 2018-06-07 00:03:12, cameronesposito handle of company cameron tweeted. The tweet was "Pls don’t miss <mention> on this week’s <mention>!! <hyperlink> <hyperlink>". This tweet got 179 number of likes. 
3. On 2018-06-22 18:56:37, LiveAmp handle of company amp tweeted. The tweet was "#Bhampa by <mention> <mention> <mention> <mention> &amp; <mention> wrapping up tonight show. #LiveAmp 🚀 <hyperlink>". This tweet got 577 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
