<|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 2018-05-24 12:05:40, BBYNews from company best buy tweeted. The tweet was "Hubert: The top-line strength is the result of continued healthy consumer confidence, product innovation in multiple areas of technology and our unique value proposition resonating with customers. $BBY

Full release: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-08 17:15:02, CiscoPartners handle of company cisco tweeted. The tweet was "In order to stay on 🔝 of great customer experiences, brands can't afford to settle for the status quo. See how we're helping brands shake things up: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2020-07-03 07:00:42, siemens_press handle of company siemens tweeted. The tweet was ".<mention> gets solid investment grade rating from <mention> 

➡️ Long-term “BBB” issuer rating with a stable outlook

More information here 👉 <hyperlink> <hyperlink>". This tweet got 63 number of likes. 
3. On 2019-06-19 12:14:28, AccentureSong handle of company accenture tweeted. The tweet was "Brands need to have a strong point of view and make a stand, but they also have to earn their right to be there. Our team discusses consumer expectations and social good at #CannesLions <hyperlink> #ExperienceAgency <hyperlink>". This tweet got 503 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
