<|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 2019-10-31 12:52:49, espn from company espn tweeted. The tweet was "What a difference a year makes for the <mention> 👏 <hyperlink>". The most similar tweets were, 
1. On 2019-01-24 23:11:44, NFLTotalAccess handle of company total tweeted. The tweet was "When it comes to <mention> in the postseason... NOBODY does it better <hyperlink>". This tweet got 633 number of likes. 
2. On 2019-05-09 23:59:46, NFLTotalAccess handle of company total tweeted. The tweet was ".<mention> has some uhhh high hopes for the <mention> this year 😳 <hyperlink>". This tweet got 1661 number of likes. 
3. On 2020-08-09 18:57:41, NoLayingUp handle of company no tweeted. The tweet was "So long, ESPN. <hyperlink>". This tweet got 2480 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
