<|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 2018-04-29 09:23:03, SkySportsF1 from company sky tweeted. The tweet was "WATCH: <mention> reserve driver <mention> needed great reactions at the start in his <mention> 
📺 Sky Go: <hyperlink> 
#SkyF1 #F1 #F2 #AzerbaijanGP 🇦🇿 <hyperlink>". The most similar tweets were, 
1. On 2019-04-03 11:41:13, WilliamsRacing handle of company williams tweeted. The tweet was "Our Reserve Driver <mention> heads out for the afternoon ☀️

#F1Testing <hyperlink>". This tweet got 222 number of likes. 
2. On 2019-03-30 13:54:58, WilliamsRacing handle of company williams tweeted. The tweet was "Big congratulations to our Reserve Driver <mention> on his dominant <mention> feature race win this morning! 🙌

Starting the season as he means to go on 👏 

#BahrainGP 🇧🇭 <hyperlink>". This tweet got 249 number of likes. 
3. On 2019-03-31 12:26:32, WilliamsRacing handle of company williams tweeted. The tweet was "Great job once again <mention> 👍

What a start to the <mention> season for our Reserve Driver 🙌

#BahrainGP 🇧🇭 <hyperlink>". This tweet got 213 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
