<|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 2020-08-10 07:00:03, Airbnb_uk from company airbnb tweeted. The tweet was "Great Yarmouth ranks at #9 in the trending seaside spots for Brits this summer. 

Are you visiting? Download an original postcard here: <hyperlink> 

#AirbnbOnSea <hyperlink>". The most similar tweets were, 
1. On 2020-04-09 18:30:00, Independent handle of company independent tweeted. The tweet was "Hundreds seen surfing on Cornish beaches despite UK lockdown <hyperlink>". This tweet got 171 number of likes. 
2. On 2018-05-20 12:30:06, PADI handle of company padi tweeted. The tweet was "It's a sight we all love to sea 💦📍Falmouth, UK 📷 <mention> #DiveUK <hyperlink>". This tweet got 38 number of likes. 
3. On 2019-01-16 15:25:08, Indo_Travel_ handle of company independent tweeted. The tweet was "Best beach in Ireland? Keem Bay is shortlisted in our #IndoTravelAwards, and <mention> put together this smashing video. Results to be revealed this Saturday! #WildAtlanticWay <hyperlink>". This tweet got 135 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
