<|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 2019-02-18 14:02:02, UPSAirlines from company ups tweeted. The tweet was "#DYK our #Shenzhen facility operates 24/7 and can process up to 18,000 pieces per hour? ✈️📦✈️ #ProudUPSers <hyperlink>". The most similar tweets were, 
1. On 2019-10-14 12:30:23, UPSAirlines handle of company ups tweeted. The tweet was "#DYK we have more than 155 miles of conveyors in our megahub #Worldport where we process an average of 2 million packages each day? 📦 <hyperlink>". This tweet got 115 number of likes. 
2. On 2020-01-15 13:45:17, UPS_News handle of company ups tweeted. The tweet was ".<mention>’s Atlanta Super Hub Showcases Next Generation Operating Facility <hyperlink>". This tweet got 99 number of likes. 
3. On 2018-11-10 15:12:30, HomeDepotFound handle of company home depot tweeted. The tweet was "🎉 More than 100,000 hours of service completed
👷‍♀️ 16,792 #TeamDepot volunteers
🏘️  Over 1,300 projects completed
#CHOOSETOSERVE <hyperlink>". This tweet got 424 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
112<|im_end|>
