<|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 2019-03-01 18:52:53, chaseelliott from company chase tweeted. The tweet was "March is hat month <mention>! Stop in at participating stores nationwide, spend $25 and get a free <mention> hat like the one I wore in Atlanta. <hyperlink>". The most similar tweets were, 
1. On 2019-05-10 18:12:19, cameronesposito handle of company cameron tweeted. The tweet was "I got a new hat <hyperlink>". This tweet got 1755 number of likes. 
2. On 2019-09-03 16:21:54, w_terrence handle of company williams tweeted. The tweet was "Today is #KeepAmericaGreatTuesday 

I love wearing &amp; having fun in my KAG hat. I wear this hat for those who can’t &amp; I speak for those who can’t! 

Show off your Trump Hats or Shirts under this post! Or if you can’t just RT!

👉 #KeepAmericaGreatTuesday
👉 #KAGTuesday <hyperlink>". This tweet got 9551 number of likes. 
3. On 2020-05-02 00:00:15, FreePeople handle of company free tweeted. The tweet was "The summer of bucket hats, it's been decided.
<hyperlink> <hyperlink>". This tweet got 136 number of 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
