<|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 2018-06-13 09:04:33, Cisco_BE from company cisco tweeted. The tweet was "30% of companies in Northern Europe see more than 100k security alerts a day. This podcast covers how new tech such as automation, AI and machine learning can help tackle this issue and many others. 
Listen now: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-30 11:31:01, CiscoUKI handle of company cisco tweeted. The tweet was "Did you know just under 1/2 of #cybersecurity alerts are investigated? Grab your 🔍with us at #infosec18 🕵️♀️#cybersecurity <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2019-03-27 01:52:04, ciscoapac handle of company cisco tweeted. The tweet was "Are you one of the 93% of CISOs that find it challenging to orchestrate cybersecurity alerts across multiple vendors and solutions in your security environment? Here are three key #cybersecurity trends in Asia Pacific. <hyperlink> <mention> #cyberthreats <hyperlink>". This tweet got 3 number of likes. 
3. On 2018-05-11 12:32:00, CiscoUKI handle of company cisco tweeted. The tweet was "Get to grips with the trends shaping security - check out our 2018 Cisco Annual Cybersecurity Report: <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
1<|im_end|>
