<|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 2018-08-16 16:05:11, USAIDGH from company usaid tweeted. The tweet was "USAID’s <mention> provides global health innovators with unique opportunities to make vital connections to thought leaders and experts. Learn 4 practical ways global health innovators can build a lasting support network: <hyperlink> #DevX <hyperlink>". The most similar tweets were, 
1. On 2020-06-11 13:00:07, USAA handle of company usaa tweeted. The tweet was "Your health is important to us.  Did you know that USAA has #healthinsurance solutions to fit your needs?  Explore your options now at <hyperlink> <hyperlink>". This tweet got 14 number of likes. 
2. On 2019-10-14 12:04:19, USAA_help handle of company usaa tweeted. The tweet was "<mention> Wow! #USNavy -AS <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-12-22 21:37:09, USAA handle of company usaa tweeted. The tweet was "USAA's CEO sits down with <mention> magazine and discusses our plans to make the association stronger as we head into our next 100 years. <hyperlink> <hyperlink>". This tweet got 42 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
