<|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 2018-09-28 13:33:21, BarclaycardNews from company barclaycard tweeted. The tweet was "Did you know that there are 21 million #US families without access to affordable, nutritious food? With programmes across the country, find out how our #Barclays colleagues are fighting hunger: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-20 14:31:04, CNN handle of company cnn tweeted. The tweet was "This charity is feeding the hungry and helping the planet by rescuing millions of pounds of leftover food <hyperlink> <hyperlink>". This tweet got 1116 number of likes. 
2. On 2019-10-18 17:20:07, CNN handle of company cnn tweeted. The tweet was "This charity is feeding the hungry and helping the planet by rescuing millions of pounds of leftover food <hyperlink> <hyperlink>". This tweet got 931 number of likes. 
3. On 2019-10-21 05:44:26, CNN handle of company cnn tweeted. The tweet was "This charity is feeding the hungry and helping the planet by rescuing millions of pounds of leftover food <hyperlink> <hyperlink>". This tweet got 1218 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
