<|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 2019-08-26 20:33:14, BBCOne from company bbc tweeted. The tweet was "This whole scene is TENSE. #PeakyBlinders <hyperlink>". The most similar tweets were, 
1. On 2019-03-27 03:32:23, cameronesposito handle of company cameron tweeted. The tweet was "good a time as any to remember this scene exists <hyperlink>". This tweet got 994 number of likes. 
2. On 2019-05-30 21:02:05, CameronMaybin handle of company cameron tweeted. The tweet was "Current mood: 😭🌧 <hyperlink>". This tweet got 2274 number of likes. 
3. On 2020-07-03 23:21:41, TwitterMovies handle of company twitter tweeted. The tweet was "He is...

#HamilFilm <hyperlink>". This tweet got 1336 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
