<|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 2019-04-09 16:29:00, BBCNorthPR from company bbc tweeted. The tweet was "When your phone goes off at EXACTLY the wrong time! 

<mention> <mention> <mention> <mention>

#TheTriPod #TheBBCTriPod <hyperlink>". The most similar tweets were, 
1. On 2018-11-15 12:17:38, blackberrysmoke handle of company blackberry tweeted. The tweet was "Night 1 of 2 <mention> w/ <mention> #london starts this evening !!! <hyperlink> <hyperlink>". This tweet got 29 number of likes. 
2. On 2018-03-23 18:00:14, nokia handle of company nokia tweeted. The tweet was "Turn off the lights, turn on the science.  <hyperlink> 

#SBT #connect2earth #EarthHour <mention> <hyperlink>". This tweet got 165 number of likes. 
3. On 2020-04-21 13:00:00, SamsungMobile handle of company samsung tweeted. The tweet was "Looking to make time fly while at home?
Learn something new with #GalaxyS20 Series.

Learn more: <hyperlink>
#StayApartStayTogether #GetThroughThisTogether <hyperlink>". This tweet got 521 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
