<|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 2018-09-02 17:13:09, BofA_Tips from company bank of america tweeted. The tweet was "Know what’ll go great with your old #college swag this #NationalCollegeColorsDay? An alumni college card. Learn more. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-02-10 02:45:05, StateFarmArena handle of company state farm tweeted. The tweet was ".<mention>  &amp; <mention> visiting <mention> and The SWAG Shop! 💈🔥Join us for <mention> on February 19th!  

🎟: <hyperlink> <hyperlink>". This tweet got 248 number of likes. 
2. On 2019-08-31 13:24:35, OriginalFresca handle of company bacardi tweeted. The tweet was "Good thing I’m spending LDW in Miami 😒 <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-08-03 12:00:11, USAA handle of company usaa tweeted. The tweet was "#FridayFinances

Confessions from a CFP: What I would tell my college-bound self - <hyperlink> #StudentDebt <hyperlink>". This tweet got 29 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
