<|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 2019-10-18 16:29:40, BrdgstoneArena from company bridgestone tweeted. The tweet was "ON SALE NOW: All for the Hall: Under the Influence with <mention> and very special friends to benefit <mention>. 

🎟️<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-06 20:50:20, tdgarden handle of company td tweeted. The tweet was ".<mention> will be at #TDGarden this Friday night for the #BridgesTour. Get your tickets before it's too late: <hyperlink> <hyperlink>". This tweet got 144 number of likes. 
2. On 2019-03-24 16:22:33, WilliamsSharrie handle of company williams tweeted. The tweet was "Great part of my weekend—brunch with <mention>! #Cheers #Friends #Brunch <hyperlink>". This tweet got 145 number of likes. 
3. On 2018-07-10 23:26:01, TommyHilfiger handle of company tommy hilfiger tweeted. The tweet was "'<mention>, <mention> and <mention> at our Regent Street store here in London with <mention> ready for tonight’s event #whatsyourdrive <hyperlink>". This tweet got 108 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
