<|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 2018-05-09 10:21:41, HSBC_UK from company hsbc tweeted. The tweet was "Looking to buy your first home? We asked some first time buyers to share their tips. <hyperlink>". The most similar tweets were, 
1. On 2020-01-14 18:15:27, HSBC_UK handle of company hsbc tweeted. The tweet was "Perhaps the question is not where are you from, but where do you feel at home? <hyperlink>". This tweet got 72 number of likes. 
2. On 2018-03-06 16:44:15, CanadaSevens handle of company hsbc tweeted. The tweet was "Home sweet home ☺🇨🇦 <hyperlink>". This tweet got 105 number of likes. 
3. On 2020-04-20 20:00:07, HSBC_UK handle of company hsbc tweeted. The tweet was "We’re proud to support <mention> &amp; <mention> as they join forces for #TheBigNightIn Appeal on <mention>. Tune in this Thurs for an evening of fun, to help those hit hardest by the current crisis. We will match donations via our website up to a total of £1m <hyperlink> <hyperlink>". This tweet got 390 number of likr 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
245<|im_end|>
