<|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 2019-10-20 19:30:00, BBC6Music from company bbc tweeted. The tweet was "Here's 6 things we've learned from author Neil Gaiman (neilhimself) when he came in for Paperback Writers.📚 <hyperlink>". The most similar tweets were, 
1. On 2019-10-01 15:57:12, GavinFree handle of company free tweeted. The tweet was "This book is wonderful. Thanks, <mention>! <hyperlink>". This tweet got 2189 number of likes. 
2. On 2020-05-21 16:06:26, amazonmusic handle of company amazon tweeted. The tweet was "We caught up with <mention> to talk about 5 things keeping him productive at home 💪 Watch the full interview here: <hyperlink>

🎧: <hyperlink> <hyperlink>". This tweet got 646 number of likes. 
3. On 2020-11-17 22:16:36, SimonHarrisTD handle of company td tweeted. The tweet was "Enjoying <mention> books. Looking forward to listening to my latest download - the new <mention> book, just out today <hyperlink>". This tweet got 272 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
