A (4:11)

Wow. So if I go, so if I'm building something and I want to see what other projects are going on or tools are going on, I can go and then does productive AI, then send me that code that I can then use myself. Or if I need this one specific component, how do I get that component to make my tool better?

B (4:32)

Okay, so based on your inputs, so it will do a competitive analysis and it will give you the level of correctness or the similarity that your product has and that the GitHub project has. It will also tell you that the features that your product has but that project doesn't have and vice versa. This will help you, this will help you to know the product that what you are looking for and you can just go to that GitHub repository and just use that.

A (5:09)

Oh, okay. How clever is that? Now I know I gotta ask this, you know, does that kind of get into like intellectual property issues at all? Like how have you thought about that?

B (5:22)

Yeah, I surely thought of that. Just because you are using GitHub, so the projects are open source, so I think that saves you a lot. So there will be no problem using the open source projects.

A (5:39)

You're right. Oh my God, that is genius. You're right. Because that's the whole purpose of GitHub is that it's open source and you're supposed to share code and help each other. Oh my goodness, that is amazing. Oh my goodness. See this is what I was telling people. This is why we're award winning because there's like all these products that are just so phenomenal that can help build better. That is absolutely amazing. So I've already had kind of a holy smokes moment, but give us an example of where someone used productive AI and it changed everything for them. See we like examples, we like illustrations so that we can actually take it from conceptual than actually have something that we can nub.

B (6:22)

So for productive AI, the job jaw dropping moment was speed. The founder expected a list of tools. Instead they get open source alternatives, feature level comparison and hidden competitors that they have never heard of, all in seconds.

A (6:40)

Oh my Goodness, that is amazing. That is absolutely awesome. To be able within seconds to know what other competition is out there. Because I feel like as founders, sometimes we feel like we have the best and the latest and the greatest when there are, you know, hundreds if not thousands of people who are actually working on the same thing or something similar. And what better way than to use productive AI to make yours even better?

B (7:11)

Correct.

A (7:12)

Oh, my gosh, that is amazing. We're also very curious people and we like to know how things work. So if we were to open up the hood of productive AI and really look at the brain of how it works and how it's so accurate and how it can happen within seconds and be able to find these competitive components that we can use to better ours and walk us through that. How does it work?

B (7:41)

Yes, sure. So for productive AI, it's all about semantic understanding. Knowing two products might solve the same problem even if they use totally different words. So emotionally it feels like, oh, wow, this gets me.

A (8:02)

Wow, wow. And you're saying that it's all about semantic coding, right? Awesome. Awesome. That is great. Now give us another example of where you were testing it, developing it, and your mind was blown with how productive, no pun intended, it was, and the results where you're like, oh my gosh, should I really create this? Did I really build this? Or walk us through that scenario where you were wowed by what you had built.

B (8:37)

Okay, so when I was building productive AI itself, so I was using AI for that, and after building the productive AI, I just tried to find my project itself. So productive AI, it's open source. So I just gave the description and the feature that productive AI automatically already had. So to my surprise, I got N numbers of exactly same open source project, which was similar to productive AI, and I used their components and features in productive AI. So that was really a game changer for me.

A (9:15)

Oh, wow, that's amazing. So do you feel that without finding that other tech, that productive AI would not be as good as it is today, or do you think it would still be just as great had you not found it?

B (9:32)

I guess making productive AI was a bit challenge at first, but after making it evolving into what we have today, it was a bit of iteration work. But we finally are, we are getting the similar product. We are having less time inputs in making competitive analysis for the founders. So here we are.

A (10:01)

All right. Okay, that's actually amazing. So how do you think about ethics? I mean, obviously GitHub is there because it's open source, you can share, but as developers and founders use productive AI. What are some of the ethical considerations that you thought as you were building it? And things that if you could give advice to other founders, how they should think about ethics.

B (10:28)

So I would say the line is dependency AI should augment thinking and not replace it. So we are very intentional about not promising guaranteed outcomes, showing why a recommendation exists, keeping the human in control of decision. We don't train on private user data without consent and we design the product to teach users how to think better, not blindly follow suggestion. So if user grow without understanding that it means we have failed.

A (11:09)

Right? Oh, I love that. I absolutely love that. So tell us about like the big Future, you know 2030, which is four years from now. Time is moving fast. If you had to, if you had a crystal ball in your mind, how will productive AI change the world and how will it impact the big future?

B (11:31)

So for founders, the competitive analysis will be instant. Open source will be first class, not hidden. And their decision will be faster, calmer and smarter. The future won't feel automated, it will feel lighter.

A (11:51)

Awesome. I love that. It won't feel automated. It just becomes a way of life. Light breathing. That is great. So we like to get our hands dirty and to try out all these different apps that we're learning about. If we want to try out productive AI, tell us how we can do that. Where do we go?

B (12:13)

You can just go to Productive AI's website and just. It is very easy to use. You can just give your inputs in the section and you can tell us about the description of your product and you can just hit search. It will do all the jobs for you in an instant.

A (12:33)

Got it. Okay, so what is the website? Give us the website so that we can know how to get there.

B (12:41)

Yeah, surely it is productiveai netlify app. Okay, you can just go there and use that.

A (12:49)

That's amazing. Well, I have a question that I call from one genius to another. So from one guest to another. And the question for you is, and it's so timely given the fact that we're in the middle of the Winter Olympics now. So if you had to compete in the Winter Olympics, which sport would you choose and why?

B (13:10)

That is really a very good question indeed. So if I were to participate in Winter Olympics, so I'd choose curling and not just because it looked calm compared to downhill skiing. Culling is fascinating because it is not about brute strength or speed. It is mostly about strategy, precision and long term thinking.

A (13:38)

Awesome. I love that. And so fitting. That is so fitting. Well, let's move now to our bonus Rapid Fire. That is where I will quickly ask you four questions and then you quickly give me the answer. Starting with what is the most overrated tech trend?

B (13:55)

I think most people believe in that AI will do everything for you and they give the command in the hand of AI. I think that is the most overrated because it is not. So AI is just your friend that can help you do your work and be your companion. So that's what I think.

A (14:21)

Awesome. What's the most underrated tech trend?

B (14:25)

I think that people believe that AI is not that much useful in building technology. People still want to use the primitive way of software development in today's era. But I think they should adapt the newer method that AI gives and they should adopt the strategy.

A (14:52)

Got it. Amazing. What's a book we should all read?

B (14:56)

Yeah. The book that I would probably suggest is the Almanac of Neville Ravican that clarity beats complexity. I would suggest them to their users to go through it once. It is pretty amazing.

A (15:12)

Oh, that is great. That is absolutely amazing. Now scare us. Give us your bold, bold prediction for the future.

B (15:23)

What I probably think is that AI won't replace developers, but developers who use AI will replace those who don't.

A (15:34)

I love that. I absolutely love that. I have so enjoyed this conversation. Tell us again, what's the website? How do we connect with productive AI? How do we connect with you on social media?

B (15:48)

Yeah, you can surely connect with me on LinkedIn, Twitter, Instagram. So the website for Productive AI is ProductiveAI Netlify app. You can just go and check it out. Surely it will help you a lot.

A (16:03)

Awesome. And then we'll have the correct spelling of both productive AI and the website as well as his name here below. Thank you so much, Aditya. We just love hearing about productive AI and everything that it's doing to change the world.

B (16:16)

Thank you. Thank you a lot. It was great fun having a chat with you.

A (16:21)

Absolutely. Okay everyone, until next time, remember to lead with AI. Thanks for tuning in to lead with AI. I'll see you next time as we continue exploring, exploring the cutting edge innovations shaping AI across the public and private sectors. Until then, keep leading with AI.