<|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 2018-05-09 01:19:28, FootLockerWomen from company foot locker tweeted. The tweet was "Ladies be bold and stand out wherever you go with the #Nike Air Max Plus 'Hi Vis'. Pick them up now in-store at a local LFL! <hyperlink>". The most similar tweets were, 
1. On 2019-12-28 14:00:01, TommyHilfiger handle of company tommy hilfiger tweeted. The tweet was "Heels or boots - what are you wearing this #NYE? <hyperlink> <hyperlink>". This tweet got 104 number of likes. 
2. On 2020-08-03 19:45:43, WellsFargoCtr handle of company wells fargo tweeted. The tweet was "Wear what the players wear #AnytimeAnywhere 

Performance locker room t-shirts are available exclusively at <hyperlink> 🏒 <hyperlink>". This tweet got 104 number of likes. 
3. On 2019-04-14 10:00:14, TommyHilfiger handle of company tommy hilfiger tweeted. The tweet was "Laces out and action! Get off to a running start with #TommySport footwear and shop it here: <hyperlink> <hyperlink>". This tweet got 132 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
