<|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 2018-01-08 00:01:11, cameronesposito from company cameron tweeted. The tweet was "I’m home, sick &amp; making a muscle bc 2018 about STRONG WOMEN. #TimesUp #WHYWEWEARBLACK <hyperlink>". The most similar tweets were, 
1. On 2020-01-16 16:05:01, lanebryant handle of company lane bryant tweeted. The tweet was "Intense workouts = your girls need extra support. We've got you!
Shop: <hyperlink> <hyperlink>". This tweet got 6 number of likes. 
2. On 2020-09-30 15:04:55, lanebryant handle of company lane bryant tweeted. The tweet was "Get a move on (+ look cute doing it) 🏃🏾‍🏋🏽‍🚴🏻‍ Happy National Women’s Health &amp; Fitness Day!
Shop: <hyperlink> <hyperlink>". This tweet got 6 number of likes. 
3. On 2019-09-24 19:24:14, cameronesposito handle of company cameron tweeted. The tweet was "Dancing, secure in my masculinity.

(Captured by <mention> engineer Jordan; 🎶 is <mention>) <hyperlink>". This tweet got 164 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
886<|im_end|>
