<|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 2019-03-21 16:24:36, bbcstories from company bbc tweeted. The tweet was "We’ve first met Brendan in January 2017, and have been following his case since then. <hyperlink>". The most similar tweets were, 
1. On 2019-02-15 21:35:21, camerondallas handle of company cameron tweeted. The tweet was "Why haven’t I met you <hyperlink>". This tweet got 8350 number of likes. 
2. On 2020-03-17 20:12:59, cbcsports handle of company cbc tweeted. The tweet was "The <mention> have figured out the ultimate way to stay together (despite being apart) 👌⚽

<hyperlink>". This tweet got 463 number of likes. 
3. On 2018-09-01 16:00:02, CBCNowOrNever handle of company cbc tweeted. The tweet was ".<mention> reconnected with his teenage hero, <mention>, 16 years later: <hyperlink> <hyperlink>". This tweet got 79 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
