<|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 2020-07-20 15:14:54, MastercardNews from company mastercard tweeted. The tweet was "Mastercard’s work with <mention> and the wider #crypto ecosystem is empowering consumers with more choice in the way they pay, making it easier for consumers to invest in digital currencies. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-08 13:29:56, Mastercard handle of company mastercard tweeted. The tweet was "That’s 🎶 to our ears! Thanks, <mention>! ❤️🧡 <hyperlink>". This tweet got 3763 number of likes. 
2. On 2019-03-25 17:56:53, Mastercard handle of company mastercard tweeted. The tweet was "Pay different. Introducing the world’s only digital-first card. #Priceless #AppleEvent <hyperlink> <hyperlink>". This tweet got 130 number of likes. 
3. On 2019-03-26 14:01:45, MastercardNews handle of company mastercard tweeted. The tweet was "Mastercard partners with <mention> &amp; <mention> to launch their Digital-First credit card enabling a faster, safer and more convenient experience #AppleEvent <hyperlink>". This tweet got 253 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
179<|im_end|>
