<|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 2018-01-04 17:30:07, UPS from company ups tweeted. The tweet was "Here for you in 1923. Here for you in 2018. #TBT <hyperlink>". The most similar tweets were, 
1. On 2020-03-27 18:29:16, UPS handle of company ups tweeted. The tweet was "In every community, #UPSersAreThere. <hyperlink>". This tweet got 184 number of likes. 
2. On 2020-12-11 13:02:07, UPSAirlines handle of company ups tweeted. The tweet was "Greetings from #UPSWorldport. ✈️ #UPSPeak2020

📷: <mention> at <mention> <hyperlink>". This tweet got 162 number of likes. 
3. On 2018-10-02 21:03:02, UPSAirlines handle of company ups tweeted. The tweet was "Well, hi there! ✈️💌❤️ <hyperlink>". This tweet got 350 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
115<|im_end|>
