<|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 2019-08-11 05:48:55, IndianExpress from company express tweeted. The tweet was "#Thread | Here are the top stories from #Pune today. <hyperlink>". The most similar tweets were, 
1. On 2018-03-25 06:35:38, paytminsider handle of company paytm tweeted. The tweet was "Enjoys at a riot of a weekend at #PuneComedyFestival! <hyperlink> March 30 - April 1 <mention> <mention> <mention> <mention> <mention> <mention> <mention> <mention> <mention> <mention> <mention> #Mumbai #Pune #InsiderComedy #TrySomethingNew <hyperlink>". This tweet got 169 number of likes. 
2. On 2018-12-29 06:30:11, PMBhutan handle of company pm tweeted. The tweet was "With the President of India. <hyperlink> <hyperlink>". This tweet got 141 number of likes. 
3. On 2018-06-23 02:54:19, PaytmMall handle of company paytm tweeted. The tweet was "OMG! You don't want to miss this!

#IndiaGoesOMG : <hyperlink> <hyperlink>". This tweet got 114 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
