<|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 2019-09-02 13:21:08, Costellop from company td tweeted. The tweet was "Liffey Street pedestrianisation agreed by all Dublin City Councillors!

#StreetsAreForPeople!

<mention> <mention> <mention> <mention> <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-02-14 18:27:34, aaroadwatch handle of company aa tweeted. The tweet was "#DUBLIN Very heavy traffic heading out of the city centre on the southside. Live updates: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2020-06-29 22:28:11, Costellop handle of company td tweeted. The tweet was "So frickin proud of <mention> right now. I'm probably bias but she's going to be an awesome Lord Mayor of Dublin! 

(Great pic by <mention>) <hyperlink>". This tweet got 1129 number of likes. 
3. On 2019-02-03 12:21:54, neasa_neasa handle of company td tweeted. The tweet was "Myself and the boss spent this morning recreating the RSA Safe Passing Distance for cyclists video...but for pedestrians. #LivableCity <mention> <hyperlink>". This tweet got 229 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
194<|im_end|>
