Build a Product that your users can't live without it Says Sriram Natarajan.
Meet Sriram, a TEDx Speaker, Former Engineering Lead at Google, and now building Yuni , a GenAI Startup, Ph.D. in Computer Science from the University of Massachusetts Amherst | Research, and LEAD from Stanford University Graduate School of Business.
It was such a great opportunity to learn about OpenAI, LLM models and building AI products from Sriram.
He presented a case study on predicting a final exam score using AI, covering everything from prototype design and pilot testing to production with Llama 3.1.
We discussed the policies, guradrails and the billions of parameters required to build AI models, and how domain-specific datasets are essential for developing AI products.
Even though I don't have an engineering background, I was able to understand the design concepts you talked about at the event.
Sriram also explained some challenges in AI, such as predicting simple math problems, where AI incorrectly predicted 9.11 as greater than 9.9.
There's still a lot to improve in AI. However, AI is the next big reality, and it will be exciting to see how it evolves in the coming years.
I really liked your answer about monetizing AI products.
You explained it well with an example: Two years ago, hardly anyone used ChatGPT, but now if you ask people, many would be willing to pay if the free usage stopped. So, the key is to create a product that your users love and encourage users to pay for them.
As you all know, Bangalore is an IT city, and our software engineers had many questions about building great AI products.
If you're building AI products and seeking expert guidance, connect with Sriram Natarajan.
I sincerely thank Sriram for coming and making the event great.
Key Takeaways from the Recent Event with Sriram Natrajan:
✅ Understanding the complexity of AI development and the importance of robust datasets in building effective AI products.
✅ Insights into overcoming AI challenges, such as improving accuracy in simple tasks, highlighting the ongoing need for AI refinement.
✅ Strategies for creating product dependency and effective monetization, ensuring users see the indispensable value in AI solutions.
✅ Networking with industry leaders and gaining valuable perspectives on fostering innovation and collaboration within multidisciplinary teams.
A special thanks to eChai Ventures, Draper Startup House , Mansi Baheti, and Jatin Chaudhary for organizing such an insightful event.
P.S: Follow Bhavik Gupta and Startups Manch for startup ideas and exploring opportunities.
Meet Sriram, a TEDx Speaker, Former Engineering Lead at Google, and now building Yuni , a GenAI Startup, Ph.D. in Computer Science from the University of Massachusetts Amherst | Research, and LEAD from Stanford University Graduate School of Business.
It was such a great opportunity to learn about OpenAI, LLM models and building AI products from Sriram.
He presented a case study on predicting a final exam score using AI, covering everything from prototype design and pilot testing to production with Llama 3.1.
We discussed the policies, guradrails and the billions of parameters required to build AI models, and how domain-specific datasets are essential for developing AI products.
Even though I don't have an engineering background, I was able to understand the design concepts you talked about at the event.
Sriram also explained some challenges in AI, such as predicting simple math problems, where AI incorrectly predicted 9.11 as greater than 9.9.
There's still a lot to improve in AI. However, AI is the next big reality, and it will be exciting to see how it evolves in the coming years.
I really liked your answer about monetizing AI products.
You explained it well with an example: Two years ago, hardly anyone used ChatGPT, but now if you ask people, many would be willing to pay if the free usage stopped. So, the key is to create a product that your users love and encourage users to pay for them.
As you all know, Bangalore is an IT city, and our software engineers had many questions about building great AI products.
If you're building AI products and seeking expert guidance, connect with Sriram Natarajan.
I sincerely thank Sriram for coming and making the event great.
Key Takeaways from the Recent Event with Sriram Natrajan:
✅ Understanding the complexity of AI development and the importance of robust datasets in building effective AI products.
✅ Insights into overcoming AI challenges, such as improving accuracy in simple tasks, highlighting the ongoing need for AI refinement.
✅ Strategies for creating product dependency and effective monetization, ensuring users see the indispensable value in AI solutions.
✅ Networking with industry leaders and gaining valuable perspectives on fostering innovation and collaboration within multidisciplinary teams.
A special thanks to eChai Ventures, Draper Startup House , Mansi Baheti, and Jatin Chaudhary for organizing such an insightful event.
P.S: Follow Bhavik Gupta and Startups Manch for startup ideas and exploring opportunities.
The eChai Effect - In Their Words
"For me, eChai is a second home. I've been associated with it since the early days, when it was already setting a different tone for how startup communities could work. As a traditional business owner entering the new-age D2C space, eChai supported me in every direction. Over the years, it became my window to the startup world — and also gave me lifelong friends who continue to show up, for business and beyond."
Pankaj Bhimani
Founder, 58miles
"After moving back from the USA, eChai became my go-to space to learn how the Indian startup ecosystem works. It offered direct exposure to startup thinking and a community that openly shares business insights. What stood out was how easy it was to connect, learn, and grow through real conversations. As we built our IT hardware rentals business, eChai helped us find our niche and refine our path. Proud and grateful to be part of this amazing community."
Heet Sheth
Growth and Tech, Sheth Info
“You don’t plan to build a company via eChai. You just keep showing up … and one day, you realize you did.” I’ve known Jatin since 2012, when I was still deciding what kind of second innings I wanted to play as an entrepreneur. Over the years, through events, chai breaks, intros, and seemingly small conversations, eChai helped shape not just Upsquare but also refined the lens through which we see collaboration. At Upsquare, we’ve hired talent, met partners, discovered co-investors, and built lifelong friendships. One of our joint ventures exists today only because a casual eChai memory sparked a deeper trust. Now, as we build House of Starts — our venture builder — eChai continues to fuel our mission: co-creating a shared future. eChai isn’t just a startup network. It’s a trust network. And for business builders like me, that makes all the difference."
Utpal Vaishnav
Founder @ Upsquare & House of Starts • Angel Investor + LP
eChai Partner Brands
eChai Ventures partners with select brands as their growth partner - working together to explore new ideas, open doors, and build momentum across the startup ecosystem.
.jpg "7Span - Creative digital agency for branding, web, apps, and social media.")