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
"I attended my first eChai event 3 yrs back, and no one knew me in the market. Over the next three years, eChai didn’t only help me with knowledge or networking, but it gave me an identity from being unknown to now being recognized by a group of inspirational entrepreneurs connected with eChai, who have been gracious enough to acknowledge me and Digipple."
Viraj Rajani
Co-Founder, Digipple
"At DevX.Work, we’ve greatly benefited from our association with eChai. Their events and networking forums have connected us with high-potential startups, ecosystem leaders, and innovation-driven professionals — many of whom have become valuable partners, collaborators, and even clients. What stands out most is the openness and accessibility of the community — whether you're an early-stage founder or an experienced entrepreneur, eChai provides a welcoming space to learn, collaborate, and grow. It's more than just a network — it's a catalyst for real, collaborative growth. We’re proud to be part of the eChai community. Highly recommended for any organization aiming to grow within the startup space."
Umesh Uttamchandani
Co-Founder, DevX
“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 "Digipple - We drive growth for brands with strategic, creative, and tech-enabled solutions.")