<|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 2020-12-08 09:00:25, PADI from company padi tweeted. The tweet was "Looking for a last-minute getaway over the holidays? Dive resorts are currently up to 56% off for stays in the next 30 days → <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-09-24 15:55:07, PADI handle of company padi tweeted. The tweet was "If you're looking for a vacation that combines both diving and ultimate relaxation, these resorts around the globe may the best option for your next holiday 🌎. <hyperlink> <hyperlink>". This tweet got 49 number of likes. 
2. On 2018-07-23 00:45:27, PADI handle of company padi tweeted. The tweet was "Special Offer: Score 25% Off Your Next Dive Vacation and Go Diving in Thailand with <mention>  🐠 <hyperlink> <hyperlink>". This tweet got 23 number of likes. 
3. On 2019-01-08 16:50:08, PADI handle of company padi tweeted. The tweet was "Browse the 5 dive resorts available in #Mauritius and book your #vacation in #paradise today! 🌅 <hyperlink> <hyperlink>". This tweet got 30 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
104<|im_end|>
