<|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 2018-09-29 17:07:09, BofA_Tips from company bank of america tweeted. The tweet was "#Coffee should boost you up, not bum you out. To fuel your caffeine cravings, make sure it’s factored into your weekly budget. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-30 22:03:07, cnnphilippines handle of company cnn tweeted. The tweet was "It's #InternationalCoffeeDay — a time for caffeine addicts and workaholics to celebrate the only thing that gets them up in the morning.

What do you like to pair your coffee with? <hyperlink>". This tweet got 1716 number of likes. 
2. On 2020-03-26 12:22:29, CiscoCotto handle of company cisco tweeted. The tweet was "Shout out to my local <mention> for keeping the coffee flowing and removing the temptation for me to sit down. Grateful! <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-12-15 23:58:34, DoveCameron handle of company cameron tweeted. The tweet was "bout to caffeine myself into oblivion for #show29 <hyperlink>". This tweet got 1266 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
