<|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 2018-11-11 12:00:01, ymca from company ymca tweeted. The tweet was "Your zip code shouldn’t determine your future. That’s why we give everyone the opportunity to succeed. #ForABetterUs <hyperlink>". The most similar tweets were, 
1. On 2020-11-03 13:35:07, ymca handle of company ymca tweeted. The tweet was "It's Election Day! If you haven't cast your ballot yet, make sure you get out there and make your voice heard! <hyperlink>". This tweet got 45 number of likes. 
2. On 2018-04-03 14:45:12, ymca handle of company ymca tweeted. The tweet was "Tomorrow is National Walking Day. So whether you're going to work, school, or just around the block - get out there and step to it! #HealthyLiving <hyperlink>". This tweet got 52 number of likes. 
3. On 2020-04-02 11:01:02, ymca handle of company ymca tweeted. The tweet was "Did you know? Your membership is now helping members of our community through child care for health care providers, meals for kids facing school closures, and well-being checks on seniors. Thank you for making a difference. #StayWithUs <hyperlink>". This tweet got 105 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
239<|im_end|>
