<|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 2019-09-29 14:55:08, bacari34 from company coach tweeted. The tweet was "Breaking news for all basketball players looking to EXPAND their role or just earn MORE minutes from the previous season or out the gate. PAY ATTENTION BELOW: <hyperlink>". The most similar tweets were, 
1. On 2018-02-18 23:00:33, GoldmanSachs handle of company goldman sachs tweeted. The tweet was "In time for the #NBAAllStar game, hear <mention> talk about how he leads and what being part of a team means to him: <hyperlink> <hyperlink>". This tweet got 55 number of likes. 
2. On 2018-04-14 14:27:04, CharlesOakley34 handle of company oakley tweeted. The tweet was "Playoff basketball time. Coach always had our back <hyperlink>". This tweet got 11343 number of likes. 
3. On 2018-10-19 19:00:49, TwitterSports handle of company twitter tweeted. The tweet was "Looking for some fresh #NBATwitter content? We got you. 

Hit that follow button for this year's <mention> rookies. <hyperlink>". This tweet got 1143 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
