<|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 2019-07-14 16:43:22, Barclaycard from company barclaycard tweeted. The tweet was "<mention> Me too Miranda! Can't wait to get down to some Rock DJ and belt out Angels haha. Enjoy the rest of your day and check out our pack of perks if you're a Barclaycard customer!  Ashleigh #BarclaycardBST <hyperlink>". The most similar tweets were, 
1. On 2019-11-08 01:49:21, Mastercard handle of company mastercard tweeted. The tweet was "That feeling when you see <mention> at a <mention> card concert and get a Priceless Surprise from the band themselves. ✨😍✨ <hyperlink>". This tweet got 109 number of likes. 
2. On 2019-12-11 21:02:26, Mastercard handle of company mastercard tweeted. The tweet was "Who’s excited for our ℜ𝔬𝔪𝔞𝔫𝔠𝔢 listening party tonight with <mention>?! <hyperlink>". This tweet got 920 number of likes. 
3. On 2018-02-10 15:25:18, Mastercard handle of company mastercard tweeted. The tweet was "Fans enjoyed the powerhouse vocals of <mention> up close during last night's intimate <mention> concert, for <mention> #AAdvantage Mastercard cardholders only! #priceless #MilesMakeMemories <hyperlink>". This tweet got 211 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
