<|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 2018-09-10 12:30:24, UPSAirlines from company ups tweeted. The tweet was "Happy Monday! We love this shot from Cologne ATC Thomas Urbild. It's our #ProudUPSer and Pilot <mention> landing in Germany. #avgeeks <hyperlink>". The most similar tweets were, 
1. On 2019-01-28 18:54:24, UPSAirlines handle of company ups tweeted. The tweet was "Please help us welcome our newest pilot class! #ProudUPSers ✈️✈️ <hyperlink>". This tweet got 79 number of likes. 
2. On 2020-03-03 19:48:14, UPSAirlines handle of company ups tweeted. The tweet was "Say hello to our newest <mention> pilots!
#ProudUPSers &gt;&gt; <hyperlink> <hyperlink>". This tweet got 126 number of likes. 
3. On 2020-06-13 00:30:12, UPSAirlines handle of company ups tweeted. The tweet was "...beautiful evening for a shot like this, right #avgeeks?

📷: #ProudUPSer <mention> <hyperlink>". This tweet got 263 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
114<|im_end|>
