<|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 2018-01-30 11:44:43, BBCR1 from company bbc tweeted. The tweet was ".<mention> and <mention> have been warming up in the Live Lounge and 'I Know You' is sounding incredible 😍

Watch and listen live from 12pm 👉 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-03-10 12:00:01, wearefreeradio handle of company free tweeted. The tweet was ".<mention> is on the #UKChartShow with <mention> today! Listen from 4pm <hyperlink>

Hear his chat with <mention> here - <hyperlink>". This tweet got 792 number of likes. 
2. On 2018-04-25 18:52:54, cameronesposito handle of company cameron tweeted. The tweet was "Are u listening to <mention>?? <hyperlink>". This tweet got 164 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
