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  7. Building a 1000x Growth Product in 1 Year | Perplexity AI, Aravind Srinivas

Building a 1000x Growth Product in 1 Year | Perplexity AI, Aravind Srinivas

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English
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Video by: EO
Learn how Arvind Shrenyvas, co-founder and CEO of Perplexity AI, achieved a 1000x growth in just one year with their conversational answer engine. Discover how they revolutionized information consumption online and gained 10 million monthly active users. Dive into the journey of leveraging algorithms and machine learning to create a successful product.
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Video Summary & Chapters

0:00
1. Introduction 🌟
Meet Arvind Shrenyvas, the co-founder and CEO of Perplexity AI.
0:19
2. Product Launch and Growth 🚀
Learn about Perplexity AI's launch and rapid growth to 10 million monthly active users.
0:39
3. Journey into AI and Deep Learning 🧠
Discover Arvind's journey from India to Berkeley, his experience at OpenAI, and his deep dive into AI and deep learning.
2:01
4. Research and Innovation 💡
Explore the research behind combining Gerritov AI and ARO to create groundbreaking technologies like Chatchy-Pity.
3:08
5. Entrepreneurial Inspiration 💭
Uncover Arvind's entrepreneurial aspirations and his vision for AI akin to the ultimate search engine.
3:20
6. Perplexity AI's Mission 🤖
Understand the vision behind Perplexity AI as the world's first conversational answer engine.
4:04
7. Enhancing User Interaction 🤝
Discover how Perplexity AI aids users in refining their queries through interactive prompts, akin to conversing with a friend.
4:43
8. Setting the Vision 🌟
Discussing the vision of bringing human-like conversations to a search engine.
4:59
9. Product Launch and Growth 🚀
Launching the product in December 2022 and witnessing exponential growth.
5:24
10. Ensuring Answer Quality 🔍
Strategies to maintain high-quality answers and combat spam in the system.
6:21
11. Pricing Strategy 💰
Explaining the pricing strategy using OpenAI's GPT4 and Chat GPT plus.
7:33
12. Startup Focus and Strategy 🎯
Importance of focusing on a core offering and shipping high-quality features.
8:23
13. User-Centric Approach 🤝
Emphasizing understanding user needs and aligning with the company's mission.
8:48
14. Culture of Urgency ⏰
Instilling a sense of urgency and efficient execution in the startup culture.
9:27
15. Importance of Focus
Understanding the significance of focusing on the most important aspects.
10:34
16. Mission Over Money
Emphasizing the importance of starting a company based on passion and mission rather than just monetary goals.
10:59
17. Holistic Metrics Approach
Shifting focus from arbitrary growth metrics to improving the product and user experience.
11:15
18. Embracing Productivity
Discussing the mindset of productivity and fulfillment in daily routines.
11:30
19. Finding Fulfillment
Reflecting on the privilege and fulfillment of staying motivated and productive.

Video Transcript

0:00
I'm Arvind Shrenyvas, I'm the co-founder and CEO of Replexity AI.
0:05
Replexity is a conversational answer engine that aims to deliver answers to you to whatever
0:09
questions you may ask.
0:11
We are trying to revolutionize how people consume information online, instead of getting
0:15
10 blue links, they can just ask questions in natural language and just get it answered
0:18
instantly.
0:19
We launched the product on December 7, 2022.
0:22
We have like about 10 million monthly active users at this point.
0:25
It's basically a grown 1,000x or a period of one year.
0:39
So I grew up in India studying one of the IATs there and I was really into algorithms,
0:45
programming, ever since the beginning.
0:47
A friend of mine told me about a machine learning contest, which I didn't even know what
0:50
machine learning was.
0:51
What all they told me was, hey there's this dataset and you can be graduated from that
0:56
the output given the input and it was fun and I won the contest and I didn't spend a lot
1:00
of time on it and it came more naturally.
1:02
So I decided to go deeper into it and I went into my PhD in Berkeley on AI and deep learning.
1:07
I worked at OpenAI in 2018 somewhere as a research intern. I thought I was good.
1:12
Okay, I did a lot really well in India. I came to Berkeley. I'm definitely one of the top AI
1:16
to PhD students. Then I went to OpenAI and I felt like really bad. Because people were so much better than me.
1:22
It was a big reality check that okay, I could improve a lot more in programming. I could improve a lot more
1:27
in first principles thinking, my clarity of thoughts. After an internship at OpenAI in 2018,
1:32
that was when GPT-1 was published. He realized that there is this new form of learning
1:36
using all the internet data and learning from it.
1:39
And I figured I was gonna be more important.
1:41
So I told my advisor that this is the right thing to do.
1:43
We should go work on this.
1:44
And he was actually like pretty open minded and said,
1:47
okay, you know what, like I'm not a specialist here,
1:49
but let's try.
1:51
I mean, if this is the next thing,
1:52
the best way to learn a new topic is to force yourself
1:55
to teach it to others.
1:56
So we spend a lot of time,
1:58
all the days weekends,
1:59
just learning and coding and just understanding
2:00
all these things.
2:01
And we did this for two years.
2:03
All that helped me find a new research topic,
2:06
which is how to combine Gerritov AI and ARO together, which is what results in these amazing
2:11
technologies like Chatchy-Pity. Chatchy-Pity is not just predicting the next word on the internet,
2:16
it's doing that and then making sure that you know how to communicate with humans. I'd always
2:21
been interested in entrepreneurship because I've been in the Bay Area, I watched this TV show
2:25
Silicon Valley, which is pretty real, but I never really found an example of an academic turn
2:30
on to entrepreneur that I really resonated with. It was all like undergrad dropouts. At one point,
2:34
I was in the library in the late nights reading books and then I stumbled upon this book for the story of Larry and Sergei in the book
2:41
How Google works Larry had written the full word in it
2:44
I had only two career pathways for myself
2:47
It was either to be a professor or an entrepreneur and the reason is that no other career pathway would let me
2:54
Execute on my own wish. I would have to be working on someone else's vision
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