<|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 2018-08-08 16:20:26, hypatiadotca from company honeywell tweeted. The tweet was "ON BART TO GO GET MY GREEN CARD 🎉🎉🎉

Got my lawyers flowers at the farmers market for having to deal with this bullshit <hyperlink>". The most similar tweets were, 
1. On 2018-02-19 19:27:55, hypatiadotca handle of company honeywell tweeted. The tweet was "Meeting with my lawyer this afternoon to prep for my green card interview. This is the paperwork I’m bringing 📚 <hyperlink>". This tweet got 91 number of likes. 
2. On 2020-10-24 15:04:48, hypatiadotca handle of company honeywell tweeted. The tweet was "We meet again <hyperlink>". This tweet got 120 number of likes. 
3. On 2020-11-25 05:51:17, hypatiadotca handle of company honeywell tweeted. The tweet was "A sleepy <mention> to cleanse your timeline 😌 <hyperlink>". This tweet got 66 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
74<|im_end|>
