<|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 2019-04-30 15:41:27, bayer04_en from company bayer tweeted. The tweet was "Have you all seen the new <mention> logo? <hyperlink>". The most similar tweets were, 
1. On 2019-05-19 18:30:00, bayer04_en handle of company bayer tweeted. The tweet was "😅 <mention> doing his best <mention> logo impression... <hyperlink>". This tweet got 200 number of likes. 
2. On 2018-02-21 19:25:01, bayer04_en handle of company bayer tweeted. The tweet was ".<mention> being <mention>!

#HSVB04 <hyperlink>". This tweet got 224 number of likes. 
3. On 2018-12-17 19:44:23, bayer04_en handle of company bayer tweeted. The tweet was "🎁 <mention> on Twitter

<hyperlink>". This tweet got 345 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
289<|im_end|>
