<|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 2019-01-14 17:49:48, MonsterEnergy from company monster tweeted. The tweet was "Rene Rinnekangas taking things to the streets! 🤘🏻

#Snowboard #Snowboarding <hyperlink>". The most similar tweets were, 
1. On 2019-12-04 22:30:33, MonsterEnergy handle of company monster tweeted. The tweet was "It’s lines like these why Rene Rinnekangas is now on the <mention> Pro Team 🥳🥳

#MonsterEnergy #Snowboarding | #RENErgy

📍: <mention> <hyperlink>". This tweet got 200 number of likes. 
2. On 2020-01-23 21:15:00, MonsterEnergy handle of company monster tweeted. The tweet was ".<mention> is moving on to the <mention> #Snowboard Slopestyle finals because of well... runs like this 🔥

#MonsterEnergy #XGames #UnleashedAtX <hyperlink>". This tweet got 148 number of likes. 
3. On 2018-01-27 16:40:03, MonsterEnergy handle of company monster tweeted. The tweet was "Today <mention> will make his #XGames debut in #SnowBikeCross &amp; by the looks of things... he's gotten the hang of being in the snow! <hyperlink>". This tweet got 149 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
384<|im_end|>
