<|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 2019-11-04 15:48:34, BrdgstoneArena from company bridgestone tweeted. The tweet was "ANNOUNCEMENT: <mention>! Make Your Magic is coming to Bridgestone Arena on 2/23!

🎟️ on sale 11/12 at 10AM: <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 2020-12-17 22:49:48, AmwayCenter handle of company amway tweeted. The tweet was "Welcome home, <mention>! 🏀

#MagicTogether #AmwayCenter <hyperlink>". This tweet got 169 number of likes. 
3. On 2019-03-17 15:49:31, brionymaybakes handle of company williams tweeted. The tweet was "Yay!!! <mention> done in 2h31 💜 So so pleased and happy about the money I've raised for <mention> 💜 Now, to the pub!!! 🥂 #BathHalf2019 <hyperlink>". This tweet got 374 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
