<|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 2018-12-16 04:40:26, espn from company espn tweeted. The tweet was "For the first time since 1990, the Browns beat the Broncos! <hyperlink>". The most similar tweets were, 
1. On 2018-12-24 12:57:08, playmakerTD handle of company td tweeted. The tweet was "When you realize you have to be a Browns fan next week <hyperlink>". This tweet got 875 number of likes. 
2. On 2018-09-24 03:10:02, freep handle of company free tweeted. The tweet was "#BREAKING: They did it.

The Detroit Lions beat the New England Patriots 26-10 for their first victory of the season. #Lions <hyperlink>". This tweet got 668 number of likes. 
3. On 2020-10-18 18:10:09, playmakerTD handle of company td tweeted. The tweet was "Browns fans right now <hyperlink>". This tweet got 285 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
