<|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 2018-06-08 18:55:00, BBCRB from company bbc tweeted. The tweet was "Just amazing.
The WHOLE community was invited to this Iftar meal. THOUSANDS turned up! 🙌🙌 <hyperlink>". The most similar tweets were, 
1. On 2018-11-16 21:16:31, AvivaUK handle of company aviva tweeted. The tweet was "We've taken over 1800 calls for #BBCchildreninneed so far! We're keeping our volunteers topped up with food and drink and we'll be here all night! Please help if you can <hyperlink>". This tweet got 70 number of likes. 
2. On 2019-11-28 03:58:50, cameronscheetz handle of company cameron tweeted. The tweet was ".<mention> <mention> REALLY FUN DINNER! <hyperlink>". This tweet got 164 number of likes. 
3. On 2018-05-17 11:04:01, TimHortonsGCC handle of company tim hortons tweeted. The tweet was "Great things come to those who wait! Dare to make Iftar a little bit different this year! #SpecialIftar <hyperlink>". This tweet got 1 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
