<|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 2020-03-06 18:09:46, Airbnb from company airbnb tweeted. The tweet was "👤 diane ko (she/her)
💼 front-end engineer
📍 san francisco, california
📝 "don't be afraid to ask questions when you don't understand something. don't worry about whether or not people will think you're not smart enough or not qualified enough." <hyperlink>". The most similar tweets were, 
1. On 2019-10-22 09:52:24, evanwilliams handle of company williams tweeted. The tweet was "This Airbnb review takes a really unexpected turn. <hyperlink>". This tweet got 112 number of likes. 
2. On 2019-03-07 00:19:08, CiscoUmbrella handle of company cisco tweeted. The tweet was "Packed house every half hour at the Cisco Umbrella booth 🙌🏼 #RSAC #RSA2019 <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-05-14 20:41:01, CiscoSmallBiz handle of company cisco tweeted. The tweet was "Who can you expect to hear from in our #CiscoChat ?
🔹 Jim Hunton, CTO <mention> 
🔹 Sarah Eccleston, Managing Director Small Business
🔹 DD Dasgupta, VP, Small Business Customer Solutions
🔹 Devin Hood, Director Digital Experiences

RSVP here 👉 <hyperlink> <hyperlink>". This tweet got 0 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
