<|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 17:06:58, Sephora from company sephora tweeted. The tweet was "Keep an 👁️ out for new rewards every week from <mention>, <mention>, and <mention>: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-08-04 18:39:30, Sephora handle of company sephora tweeted. The tweet was ".<mention> by <mention> launches September 3! This is makeup made to feel good in, without hiding what makes you unique  💜 Coming only to Sephora.  <hyperlink> <hyperlink>". This tweet got 2884 number of likes. 
2. On 2018-03-23 16:57:15, Sephora handle of company sephora tweeted. The tweet was "Leave a 🐾 if you think #NationalPuppyDay should be every day 🐕 🐶 🐩 <hyperlink>". This tweet got 1363 number of likes. 
3. On 2020-03-17 18:00:01, Sephora handle of company sephora tweeted. The tweet was "To our Sephora Family 🤍 <hyperlink> <hyperlink>". This tweet got 644 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
844<|im_end|>
