<|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 2019-09-27 13:45:01, CiscoCanada from company cisco tweeted. The tweet was "Cisco helps people and companies who change the world achieve even more. Powered by #HyperFlex, <mention> scaled their operations exponentially to deliver more unused food as meals for the hungry in NYC. #UCS10 #DataCenter <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-11-28 17:00:03, ciscoDC handle of company cisco tweeted. The tweet was "This Thanksgiving, 🦃 we are grateful for our Data Center community for innovating anywhere the data is. See how <mention> uses Cisco #HyperFlex to scale and deliver millions of more meals rapidly.    <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2019-04-23 16:00:01, CiscoCX handle of company cisco tweeted. The tweet was "Revolutionary new way to help customers realize value from their technology investments FAST! <mention> explains how #CiscoCX can help businesses grow: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-12-11 17:03:03, CiscoCX handle of company cisco tweeted. The tweet was "Did you miss our webinar with <mention> on ‘Adopting Smart Operations to Scale in a 5G World’? Check out a recap here: <hyperlink> <hyperlink>". This tweet got 3 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
0<|im_end|>
