<|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 2020-10-31 12:08:05, Cisco from company cisco tweeted. The tweet was "Scary 🤡 is one thing. But scary clowns messing up the server room? 😱 
What’s your IT nightmare?

#HappyHalloween <hyperlink>". The most similar tweets were, 
1. On 2019-10-31 17:50:01, CiscoUKI handle of company cisco tweeted. The tweet was "#HappyHalloween from us at Cisco! 🎃

Is your infrastructure so monstrous it's a frankenstructure? 🧟‍♂️

Check out our spooky infographic on how to solve your infrastructure nightmares 👉 <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-03-29 12:30:02, ciscomiddleeast handle of company cisco tweeted. The tweet was "Ransomware, DDoS attacks, insider threats! What you can't see CAN hurt you - and other network horror stories
<hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-08-12 13:00:15, CiscoSmallBiz handle of company cisco tweeted. The tweet was "Cybersecurity unites tools, processes, and teams. Are you equipped for today's digital threats? <hyperlink> <hyperlink>". This tweet got 2 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
81<|im_end|>
