<|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 2018-11-05 21:23:02, WalgreensJobs from company walgreens tweeted. The tweet was "Are you looking for a new opportunity with an industry leader? Check out our current postings at <hyperlink> #mondaymotivation #careers #retail #werehiring <hyperlink>". The most similar tweets were, 
1. On 2019-03-17 21:00:01, Walmarttech handle of company walmart tweeted. The tweet was "From business engagement and strategy to merchant and customer technology, our teams are tackling some of retail's biggest and exciting challenges.  Find the right job for you <hyperlink> #careers <hyperlink>". This tweet got 13 number of likes. 
2. On 2018-10-05 20:30:34, WalmartAction handle of company walmart tweeted. The tweet was "We're excited about the opportunities investing in #USJobs 🇺🇸 creates for communities. <hyperlink> #MFGDay18 <mention> <hyperlink>". This tweet got 8 number of likes. 
3. On 2019-06-22 18:10:39, WalmartWorld handle of company walmart tweeted. The tweet was "Have you checked out the newest issue of Walmart World magazine?! Because you totally should 😎 Even more stories of awesome associates and how you can lead into the future: <hyperlink> <hyperlink>". This tweet got 16 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
