<|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 2019-01-28 11:19:26, CiscoUKI from company cisco tweeted. The tweet was "Have you been following our MACRO podcast? We've covered all things innovative from flood defence to Wi-Fi on trains, connected cows, and smart cities. Take a listen 👂 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-23 11:25:06, CiscoUKI handle of company cisco tweeted. The tweet was "Podcast alert! 📢 MACRO takes a deep dive into how our technology has helped first responders in flooding situations 💪 <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2018-12-21 12:25:44, CiscoUKI handle of company cisco tweeted. The tweet was "Unwrap our secrets to how we *sleigh* innovation in our latest podcast! 🎁🎙️ <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2019-01-04 14:37:06, CiscoUKI handle of company cisco tweeted. The tweet was "A podcast to take you into the weekend 👇

Did you know❔ We're working with <mention> to connect up rural areas 🌾🎙️ <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|>
