<|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 2018-03-31 11:35:24, bbcthree from company bbc tweeted. The tweet was "Someone's knitting cosy Easter postbox hats
<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-05-10 18:12:19, cameronesposito handle of company cameron tweeted. The tweet was "I got a new hat <hyperlink>". This tweet got 1755 number of likes. 
2. On 2020-02-14 17:31:14, geraldnash handle of company td tweeted. The tweet was "Just look at what the Knitting Fairy left on the pole outside our office! 🧶 🧚‍♀️ #RedGed <hyperlink>". This tweet got 338 number of likes. 
3. On 2018-07-22 23:16:37, nailogical handle of company no tweeted. The tweet was "Cat with a Hat
She did That
🤠😺💅 <hyperlink>". This tweet got 4691 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
