<|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 2020-02-28 05:20:41, theglasshouse from company house tweeted. The tweet was "Ali Gatie is on sale Friday at Noon PST 🙌

🎟 <hyperlink>

<mention> #aligatie #pomona <hyperlink>". The most similar tweets were, 
1. On 2019-02-23 21:00:24, AMCTheatres handle of company amc tweeted. The tweet was "#AlitaBattleAngel was made to be seen in <mention>! Experience all the details  and action this weekend at #AMCTheatres: <hyperlink> <hyperlink>". This tweet got 28 number of likes. 
2. On 2019-10-18 18:55:36, SodaBarSD handle of company bar tweeted. The tweet was "ON SALE NOW – 11/14 <mention> – <mention> • 🎟: <hyperlink> <hyperlink>". This tweet got 124 number of likes. 
3. On 2018-01-07 14:00:30, HobbyLobby handle of company hobby lobby tweeted. The tweet was "Give your home decor a refresh with this sale: <hyperlink> See ad for details. Sale ends 1/13. <hyperlink>". This tweet got 8 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
