<|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 2019-07-19 20:45:05, UnitedRentals from company united rentals tweeted. The tweet was "Even big jobs get a little help from interns. #URLife <hyperlink>". The most similar tweets were, 
1. On 2019-05-01 21:17:15, UnitedRentals handle of company united rentals tweeted. The tweet was "<mention> Let's get started 👏 <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-03-24 19:34:18, UnitedRentals handle of company united rentals tweeted. The tweet was "Just a few more laps to go. Finish strong <mention>! <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-04-17 19:45:41, UnitedRentals handle of company united rentals tweeted. The tweet was "Good luck tonight <mention> 💪 <hyperlink>". This tweet got 2 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
1<|im_end|>
