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How NVIDIA, Meta & Dropbox Taught Me to Build Great Products | Vasanth, Founder-Featurely

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Manage episode 491194818 series 2592392
Content provided by Siddhartha Ahluwalia. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Siddhartha Ahluwalia or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

50% of products and features built are never used.
To build the right product, every founder must answer two questions:

Are you solving a real problem? And are you solving it the right way?

Technology has rarely been democratic, it’s often elitist. So at times, it ends up solving made-up problems that don’t really exist. Yet, some companies have built truly great products.

What sets them apart? Do they share any similarities? Are there lessons for entrepreneurs?

We have with us Krishna (Vasanth) Namasivayam who has previously worked on AI products at NVIDIA, Meta, and Dropbox.

Vasanth is founder of Featurely.AI. Featurely is fixing how products get built. It does it by simulating users — not as bots, but as human-inspired digital twins.

0:00 – Trailer

02:10 – Why I chose NVIDIA in 2015?
03:55 – Working on integrity at META
04:23 – Rethinking AI for Dropbox
04:51 – NVIDIA builds for the future
05:45 – People loved working for Jensen

08:16 – What makes META so special?
10:57 – Decision-making at META was democratic
11:41 – Dropbox was once the most VIRAL product
12:55 – The power of founder-led companies

14:28 – Tech is Elitist, Build for a Few
16:43 – Silicon Valley trend of Solving Made-up problems
19:27 – A magic wand that Finds the right problem
22:17 – Synthetic users vs. perfect AI agents
25:00 – Why synthetic users can fail (and why that matters)
25:35 – What is the Future with AI agents & synthetic humans?
26:30 – Why openAI can’t/won’t choose User research
27:16 – The simplest explanation of LLMs
28:36 – Why ChatGPT succeeded like no other
31:04 – Bite-sized Info for 6-second attention span
31:37 – The Next Frontier in AI: Predicting Human Behavior
33:55 – Uses of Synthetic Humans from Product to Policy
35:55 – The biggest surprise of building a startup
37:00 – One Mistake Product folks make
38:24 – One emotional truth about startups
39:04 – What does Featurely do?
42:51 – How Featurely will measure success
46:36 – All future software will be hyper-personalized
50:24 – 3 AI companies to admire (one not built yet)
52:28 – How will Work be in 2025?
53:59 – How AI gets things (almost) right every time
57:02 – Why Featurely chose Neon Fund
01:02:51 – What the Bay Area does differently
01:04:54 – Learnings from Fundraising
01:06:49 – The vision to Build a Category defining Company

-------------

​​India’s talent has built the world’s tech—now it’s time to lead it.

This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?

We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:

Website: https://neon.fund/

Instagram: https://www.instagram.com/theneonshoww/

LinkedIn: https://www.linkedin.com/company/beneon/

Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:

LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/

Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

Send us a text

  continue reading

316 episodes

Artwork
iconShare
 
Manage episode 491194818 series 2592392
Content provided by Siddhartha Ahluwalia. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Siddhartha Ahluwalia or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

50% of products and features built are never used.
To build the right product, every founder must answer two questions:

Are you solving a real problem? And are you solving it the right way?

Technology has rarely been democratic, it’s often elitist. So at times, it ends up solving made-up problems that don’t really exist. Yet, some companies have built truly great products.

What sets them apart? Do they share any similarities? Are there lessons for entrepreneurs?

We have with us Krishna (Vasanth) Namasivayam who has previously worked on AI products at NVIDIA, Meta, and Dropbox.

Vasanth is founder of Featurely.AI. Featurely is fixing how products get built. It does it by simulating users — not as bots, but as human-inspired digital twins.

0:00 – Trailer

02:10 – Why I chose NVIDIA in 2015?
03:55 – Working on integrity at META
04:23 – Rethinking AI for Dropbox
04:51 – NVIDIA builds for the future
05:45 – People loved working for Jensen

08:16 – What makes META so special?
10:57 – Decision-making at META was democratic
11:41 – Dropbox was once the most VIRAL product
12:55 – The power of founder-led companies

14:28 – Tech is Elitist, Build for a Few
16:43 – Silicon Valley trend of Solving Made-up problems
19:27 – A magic wand that Finds the right problem
22:17 – Synthetic users vs. perfect AI agents
25:00 – Why synthetic users can fail (and why that matters)
25:35 – What is the Future with AI agents & synthetic humans?
26:30 – Why openAI can’t/won’t choose User research
27:16 – The simplest explanation of LLMs
28:36 – Why ChatGPT succeeded like no other
31:04 – Bite-sized Info for 6-second attention span
31:37 – The Next Frontier in AI: Predicting Human Behavior
33:55 – Uses of Synthetic Humans from Product to Policy
35:55 – The biggest surprise of building a startup
37:00 – One Mistake Product folks make
38:24 – One emotional truth about startups
39:04 – What does Featurely do?
42:51 – How Featurely will measure success
46:36 – All future software will be hyper-personalized
50:24 – 3 AI companies to admire (one not built yet)
52:28 – How will Work be in 2025?
53:59 – How AI gets things (almost) right every time
57:02 – Why Featurely chose Neon Fund
01:02:51 – What the Bay Area does differently
01:04:54 – Learnings from Fundraising
01:06:49 – The vision to Build a Category defining Company

-------------

​​India’s talent has built the world’s tech—now it’s time to lead it.

This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?

We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:

Website: https://neon.fund/

Instagram: https://www.instagram.com/theneonshoww/

LinkedIn: https://www.linkedin.com/company/beneon/

Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:

LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/

Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

Send us a text

  continue reading

316 episodes

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