<|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 2018-11-27 20:31:22, BofA_Tips from company bank of america tweeted. The tweet was "<mention> New job, and a new chance to impress. (Which you did!) Scoring an awesome gig isn’t easy, so we had to stop by for a high five. Congrats! #BetterMoneyHabits <hyperlink>". The most similar tweets were, 
1. On 2018-04-20 13:11:04, cameron_tiff handle of company cameron tweeted. The tweet was "Massive thanks for all the congratulations on my new gig <mention>. Glad you're riding with me. <hyperlink>". This tweet got 356 number of likes. 
2. On 2020-11-03 12:30:03, Metro_Bank handle of company metro tweeted. The tweet was "Amazing news, we won Bank of the Year at the <mention> Awards 2020! A huge thank you to all our colleagues and customers for your support. We couldn’t have done it without you 🎉🏆 <hyperlink>". This tweet got 53 number of likes. 
3. On 2019-11-17 20:48:45, PatMcAfeeShow handle of company mcafee tweeted. The tweet was "<mention>... Man.. You were incredible today. Congrats on the new gig. <hyperlink>". This tweet got 285 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
