The Neon Show

85% of AI teams will hit a serious production failure this year. The only thing separating them from the 15% who don't? Evals.

After nearly two decades of building AI systems at Microsoft, Facebook, and Dropbox, Ameya Bhatawdekar is now Field CTO at Braintrust, the AI observability platform used by Airtable, Notion, Stripe, Dropbox, Vercel, Cloudflare, Lovable, and Replit.

We discuss a shift that most teams underestimate. The winners in AI are not just shipping faster. They are building systems that behave predictably, improve continuously, and earn user trust over time. As traditional monitoring breaks down in a probabilistic world, observability now requires learning how an AI system reasons, not just how it performs. This leads to a new paradigm where agents are no longer just executing tasks, but also analyzing and debugging other agents.

The episode also traces the evolution of machine learning itself. From feature engineering to deep learning to transformers , each leap increased capability and reduced control. Evaluation is now where control sits.

Ameya is clear on one point. Moving fast with weak evaluations feels like velocity, but it compounds into technical debt, unpredictable failures, and ultimately a loss of user trust. The teams that win are the ones that invest early in rigor, especially in understanding context, which is quickly becoming the hardest and most critical layer in AI systems.

If you are a founder or engineer moving beyond the demo phase and trying to build durable, high-quality AI systems, this episode will change how you think about shipping.

0:00 — Trailer
00:55 — What’s Braintrust?
05:01 — What agents are shipping today
07:54 — What evals look like in practice for Notion & Zapier
09:44 — Evals vs Classic monitoring
11:33 — Who is the Field CTO?
16:35 — What goes wrong when agents fail
18:26 — Agents analyzing other agents
24:17 — Evals are existential in vibecoding
25:52 — Ship fast with weak evals or slow with strong evals?
25:41 — What makes enterprises trust an LLM?
29:25 — Do AI startups know how good their product is?
30:23 — 3 ML systems: Microsoft, Dropbox, Meta
36:30 — How the 2017 transformer paper changed everything
38:20 — All algorithms are predicting the next word
43:40 — What LLMs will do in 1 year

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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.

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What does it take to build a company that industry giants want to buy?

Poojan Kumar built and exited two enterprise infrastructure companies, PernixData to Nutanix and Clumio to Commvault.

He began his career at Oracle, where he wrote the original code for Exadata and helped scale it into a billion-dollar product line. But his real founder journey began when he left the corporate world to chase what he calls the “Discontinuity Thesis.”

At PernixData, that discontinuity was the shift from hard disks to flash storage. The company scaled to $25 million in revenue before being acquired by Nutanix. At Clumio, the discontinuity was public cloud. Clumio went on to raise $186 million to build a cloud-native backup and cyber resilience platform before being acquired by Commvault, where Poojan now serves as GM of the business line.

If you want to understand how enduring enterprise companies are actually built and acquired this episode is for you.

0:00 - Trailer
0:48 - 25 Years in Enterprise
03:02 - Founders Should Look for Discontinuity
04:25 - $25M ARR, $60M Funding & an Exit in 6 Years
06:28 - The Thesis Behind Clumio's Acquisition
07:36 - The Landscape of Data Backup
09:08 - What Should Founders in Security & Data Build?
11:48 - Cloud vs AI: The New Data & Storage Stack
13:59 - The Unanswered Questions Enterprises Have Today
16:38 - How Infra Changed Between Pernix, Clumio & Today
18:31 - Scaling to $25M Before Acquisition, Twice
20:43 - Why is AI Adoption Bottom-Up, Not Top-Down?
21:26 - Claude vs Codex vs Copilot
22:34 - When Cloud Outgrew the Backup Playbook
25:41 - Are Fragmented Clouds Silent Killers?
28:06 - Fundraising Takes You from Point A to Point B
32:29 - Selling to Commvault vs Nutanix
34:33 - What Leads to an 8-Figure Exit?
36:55 - How a Technical Founder Excelled at Sales

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

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 Fan Mail

What does it take to build a company that industry giants want to buy?

Poojan Kumar built and exited two enterprise infrastructure companies, PernixData to Nutanix and Clumio to Commvault.

He began his career at Oracle, where he wrote the original code for Exadata and helped scale it into a billion-dollar product line. But his real founder journey began when he left the corporate world to chase what he calls the “Discontinuity Thesis.”

At PernixData, that discontinuity was the shift from hard disks to flash storage. The company scaled to $25 million in revenue before being acquired by Nutanix. At Clumio, the discontinuity was public cloud. Clumio went on to raise $186 million to build a cloud-native backup and cyber resilience platform before being acquired by Commvault, where Poojan now serves as GM of the business line.

If you want to understand how enduring enterprise companies are actually built and acquired this episode is for you.

0:00 - Trailer
0:48 - 25 Years in Enterprise
03:02 - Founders Should Look for Discontinuity
04:25 - $25M ARR, $60M Funding & an Exit in 6 Years
06:28 - The Thesis Behind Clumio's Acquisition
07:36 - The Landscape of Data Backup
09:08 - What Should Founders in Security & Data Build?
11:48 - Cloud vs AI: The New Data & Storage Stack
13:59 - The Unanswered Questions Enterprises Have Today
16:38 - How Infra Changed Between Pernix, Clumio & Today
18:31 - Scaling to $25M Before Acquisition, Twice
20:43 - Why is AI Adoption Bottom-Up, Not Top-Down?
21:26 - Claude vs Codex vs Copilot
22:34 - When Cloud Outgrew the Backup Playbook
25:41 - Are Fragmented Clouds Silent Killers?
28:06 - Fundraising Takes You from Point A to Point B
32:29 - Selling to Commvault vs Nutanix
34:33 - What Leads to an 8-Figure Exit?
36:55 - How a Technical Founder Excelled at Sales

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

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 Fan Mail

Healthcare has never moved this fast.

Pharma giants are no longer just buying software. They are writing $50 million checks for access to a single foundational model. Systems of record are being replaced, and the shift is unfolding fastest in a place most people did not expect: healthcare.

Vignesh Kumar, Partner at Sierra Ventures, has spent 13 years at the center of this enterprise shift. He has sourced and invested early in companies across Enterprise AI, including two unicorns, Phenom and Reify Health, with Reify reaching around a $4B valuation and Phenom crossing $1B.

Over 40 years, Sierra has backed 300+ startups, resulting in 11 IPOs, 7 unicorns, and 104 acquisitions, and manages over $2.4B in assets. Today, the firm is a focused early-stage enterprise AI investor, writing first institutional checks while staying disciplined on fund size, growing from $150M to $270M.

This episode is on how the next generation of companies in Enterprise AI will be found, funded and scaled. If you are building in AI or exploring healthcare, this will help you see the shift earlier and act on it with more clarity.

0:00 – Trailer
1:04 – Where Sierra Ventures invests?
3:33 – How to keep fund size aligned with stage
5:19 – Sierra's historical DPI
5:52 – Deals that drove big returns
8:25 – Sierra's exits
9:53 – The formula for high returns
11:47 – The perfect US–India founder example
13:07 – What outcomes VCs expects from startups
14:34 – How the partner consensus works
15:56 – Why Sierra invested in Smallest AI
17:28 – From first meeting to term sheet
17:57 – Healthcare has never moved this fast
23:20 – Where Vignesh invests
24:39 – Only one foundational model bet
25:28 – Is SaaS dead?
27:44 – How PMF changes in the AI era
30:16 – How a VC calculates market risk
31:19 – What kept Vignesh at Sierra for 13 years
33:17 – How to bet on futuristic startups
34:58 – The anti-portfolio
35:50 – First-time vs second-time founders
36:43 – Why great storytellers attract best talent

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

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 Fan Mail

Are recessions actually the best time to start your company? 

Aneesh Reddy, the founder of Capillary Technologies, believes that economic downturns are the ultimate filter for identifying products that have a "right to exist”,which is only earned when a product solves a deep, non-negotiable pain point for the customer. This idea has shaped Capillary’s journey that led to a 4500 Crore IPO, 250 million consumers and 100,000+ stores worldwide.

We explore the internal culture at Capillary that has not only retained 20% of its core team for over a decade but has also served as a launchpad for 50+ startups. Aneesh offers a contrarian view on leadership that founders should micromanage their teams for the first six months to instill the right DNA before scaling. 

We also discuss expansion into the US market, detailing the "Risk vs Reference" framework that defines how sales strategies must pivot when moving between continents. He shares what went wrong in Capillary’s early attempt to enter the US, the lessons from that experience, and what eventually helped them succeed in the market the second time around, leading to the US now contributing over 50% of their revenue.

If you are a founder building in SaaS or looking to scale from India to the world, this episode with Aneesh Reddy is for you.

00:00 – Trailer
01:50 – What to build that has not been commoditized
05:20 – Customer-facing or fast-changing products will survive
09:08 – How Capillary hit early PMF
13:54 – Risk vs Reference in the US & Asia
18:10 – How Capillary won the US market (after failing first)
24:56 – Outbound & partnerships that work better in the US
30:30 – Right to exist differs in startups vs large companies
35:34 – Micromanage in startups for the first 6 months
40:47 – How Vipassana changed the founder
49:57 – How 1/5th of the team stayed for 10+ years
55:29 – The culture that created 50+ startups
58:24 – The right metrics to go IPO in India
01:01:53 – The choice to build a product company
01:05:24 – Pioneering acquisitions of US startups
01:09:18 – Why not build a roll-up to get $200 million ARR?
01:10:43- 5 major decisions behind Capillary’s journey
01:14:46 – Why are top SaaS stocks down?

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

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 Fan Mail

From employee #16 to $1B ARR at Nutanix, then scaling ThoughtSpot to $150M ARR and a $4B+ valuation now building for a world where agents will drive the internet.

Sudheesh Nair joins the Neon Show.

The internet as we see it today was optimized around human strengths and weaknesses, using algorithms to monetize our greed and fear. But as agents take up more of the internet, that playbook starts to break. We are moving from a web of discovery to an outcome-driven internet, where agents care only about the destination, not the journey.

As an operator who has scaled companies, Sudheesh believes sales is a noble profession where there is no middle ground. You are either a hero or a zero. Sales is not a function at the edge of the company, it is the primary job of every employee in a company. When that happens, teams stop acting like mercenaries chasing targets and start behaving like missionaries focused on customer outcomes.

Beyond agents, we also discuss building companies and whether there are right or wrong reasons to start. Sudheesh’s view is simple. There are no right or wrong reasons, but you have to be brutally honest with yourself about why you are doing it.

This episode is one hour of clear thinking on agents, sales, and the realities of company building.

00:00 – Trailer
01:49 – What % of the internet is agents today?
10:25 – How far are we from trillions of agents?
12:47 – Why isn’t the internet ready for agents?
18:31 – Consumer is a tough game
19:49 – Selling to enterprises = high value / low risk
22:14 – A noble profession with only heroes or zeroes
24:41 – Only 3 reasons why people buy anything
26:14 – How we got Fortune 500 customers in just 18 months
27:28 – The wrong reasons to start a company
31:05 – Cursor vs Claude vs Codex
34:30 – Do investors prefer failed founders over first-time founders?
35:06 – 3 reasons why an enterprise will sign your startup
39:52 – PMF has to be proven every day
41:21 – What’s the play b/w OpenAI, Google, and Anthropic?
45:12 – Drivers vs passengers in companies
47:17 – The muscles you build as an operator
50:45 – Hire one person when you actually need four
51:41 – Why is marketing the most in-demand skill?
53:50 – Nutanix: from 0 to $1B ARR in 26 quarters
54:55 – The hardest choice Nutanix made
59:25 – Talent is universal. Opportunities are not
01:04:08 – Selling is everyone’s job
01:05:58 – Passion comes from value creation

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

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 Fan Mail

Can AI Rebuild the $1 Trillion Construction Industry?

Construction is one of the largest industries in the world, yet most projects still run on Excel sheets, fragmented tools, and disconnected workflows.
Sneha Kumari (Co-founder, Merlin) and Graham Blake (CPO, Merlin) break down why construction has remained one of the least digitized industries and why that is finally starting to change.

We explore why traditional ERP systems like NetSuite or Dynamics fail construction companies, how Merlin is rethinking enterprise software for builders, and why AI may finally make it possible to coordinate the massive complexity behind modern construction projects.

Sneha also shares her journey from industry operator to first-time founder, how Merlin found early product-market fit, the power of word-of-mouth growth in construction, and what it takes to build a vertical SaaS company in a “non-sexy” but trillion-dollar industry.

If you're curious about how AI can transform deep, complex industries this conversation is for you.

00:00 – Trailer
00:40 – Merlin x Neon 
02:07 – Software for construction
04:37 – What convinced Graham to join
06:25 – Founder insights that discovered the pain points
08:43 – The team behind Merlin
10:15 – Challenges of building tech in construction
11:51 – Biggest pain points for Merlin’s customers
17:16 – Does ERP need a revolution?
17:55 – Merlin’s end-to-end ERP approach
20:39 – Why customers aren’t happy with existing solutions
24:36 – Why an AI-native approach makes sense
28:23 – What % of construction budget goes to tech
30:37 – How Y Combinator changed a first-time founder
31:50 – The role Neon played in Merlin
33:34 – Current players that excite the founders
36:43 – What it takes for Merlin to reach $10M ARR
39:57 – How to build with zero sales constraints
43:06 – Why become a founder?
45:56 – Build only for an industry you truly understand
47:41 – Why construction over manufacturing
48:38 – When customer called previous software a “black box”

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

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 Fan Mail

What if the biggest mistake you can make as a founder is signing Apple as your first customer?

Manish Jindal spent 10 years at Cloudflare as employee #45, helping take the company from $10 million revenue to a $60 billion public company. Manish breaks down the Cloudflare playbook: why they intentionally said “no” to Fortune 500 companies early on to protect their product, and how a single phone call from a CIO birthed their entire enterprise motion.

Throughout his career, Manish has joined companies that already showed early product–market fit in large markets, allowing him to spend a decade helping scale them. Now as the President at Arize, he is building the “plumbing” that allows giants like Walmart and Uber to move from building AI agents to real-world production.

We discuss why “boring” infrastructure is a more durable bet than flashy AI apps, and why owning the data remains the ultimate competitive edge. Manish also shares insights on building Go-To-Market (GTM) teams in the Cloudflare era and how that strategy has shifted in the AI era.

If you are a founder or leader trying to scale a startup, this episode with Manish Jindal is for you.

00:00 – Trailer
01:00 – How Manish chose companies with early PMF
03:45 – Founder’s belief is most important
04:35 – Entering dev tooling when it wasn't popular
08:20 – Never leave a Co. you believe in for wrong reasons
09:45 – The “boring” industries that do well in Long run
12:40 – It’s easy to build an agent, but hard to scale one
15:06 – Why infra won’t be winner-take-all
18:02 – The keepers of data will win
20:20 – From million to billion in Cloudflare’s journey
21:32 – The “holy sh*t” moment happens fast for Cloudflare
24:30 – The CIO call that led to Cloudflare’s enterprise plan
27:04 – $50M and $100M ARR path of Cloudflare
28:33 – Build enterprise motion slowly or aggressively?
29:51 – Why Cloudflare didn’t want Apple as customer
32:10 – Early PMF at Splunk, Cloudflare, and Arize
35:40 – Choosing only decade-long stints
39:01 – Why Manish didn’t start his own company
43:37 – How GTM has changed in the AI world
54:25 – What agents need to work well in production
01:00:51 – Which enterprise use cases qualify for AI?
01:03:52 – What went wrong with Air Canada Agent?
01:04:52 – How customers are discovered
01:09:01 – Claude & Cursor are the most powerful agents today
01:10:55 – How Manish chooses companies to invest in
01:15:15 – Why acquisitions will become the Norm
01:18:35 – Technology is not a moat anymore

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

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.

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What does it look like to run the same playbook across five venture funds?

That is the bet Ashmeet Sidana has made at Engineering Capital. From Fund One to Fund Five, he has written the first check into founders solving problems with Technical insight.

His portfolio includes Rubrik, now a public company, SignalFx which was acquired by Splunk for $1 billion, and CodeRabbit, last valued at $550 million. Ashmeet runs Engineering Capital as a solo GP and the fund has been oversubscribed since Fund One.

Ashmeet says that the most common way technical founders fail is by “playing house.” Founders who build beautifully organized systems and clean processes, but don’t obsessively seek product market fit. His view is that founders should ruthlessly prioritize finding PMF above everything else.

Ashmeet is an investor who has seen enough cycles to know what actually compounds, and is still early-stage enough to care about the details that most people have moved past.

00:00 – Trailer
01:15 – Where does Engineering Capital place its bets?
10:07 – How the VC landscape has evolved
11:20 – Are technical founders the norm in AI?
16:23 – Why the name Engineering Capital?
16:50 – What every VC looks for in a founder
21:34 – Why Founders Choose Your Term Sheet
26:26 – Rule of 1-2 in-person meetings daily with founders
31:42 – Does AI give younger founders an edge?
32:59 – Founders must ruthlessly prioritize
35:58 – The trap of “playing house”
37:40 – PMF can change overnight, Ex: Facebook
40:13 – 1 in 10 companies fail due to lack of PMF
43:17 – The most valuable skill a founder can have
44:19 – Why have a Chief Engineer at a VC firm?
45:44 – The job of every CEO is to learn
46:09 – Solo founders are much riskier
48:15 – An accidental entry into VC
49:52 – Solo GP: risks and rewards
53:34 – $250M across funds
54:43 – Why solo GPs work better in the US
58:25 – Where Ashmeet’s portfolio companies are located
01:00:57 – Be very careful of vanity metrics
01:02:15 – Vibe coding will change the face of software
01:03:36 – Don’t chase trends in how companies are built
01:05:58 – $100M ARR is the outcome of a strong package
01:06:35 – How affordable is Bay Area for young founders?
01:11:32 – AlexNet, not ChatGPT, was the real AI inflection point
01:12:57 – US Public Companies Are Down 50% in 40 years

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

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 Fan Mail

Over 1 Trillion AI tokens pass through Portkey every single day.

Every AI product eventually runs into the same problem. The prototype works, but once it goes live the system has to manage multiple models, rising token costs, unpredictable latency, and infrastructure that was never built for AI workloads.

That is the problem Rohit Agarwal is solving with Portkey, an AI gateway that sits between applications and the models, whether that’s GPT-4, Claude, or Gemini.

With 24,000 companies routing their AI through Portkey, Rohit sits on ground-level data on how AI is actually being used in production. Which models enterprises are betting on. Where costs are quietly climbing. How usage patterns shift as companies move from pilots to real products.

When AI spend surpasses cloud spend, and Rohit believes it will, the infrastructure running underneath it becomes one of the most important bets in tech. This episode explores what it takes to run AI systems at that scale.

00:00 – Trailer
01:05 – 500 billion AI tokens every day
04:05 – First to call an "AI gateway"
07:26 – Where did the Gateway insight come from?
12:08 – How Portkey is winning this space
13:05 – Picking the right gambles over wrong ones
14:16 – What are LLM endpoints?
15:21 – AI will 100% surpass cloud spend
19:00 – Hype is coming from people still in Q&A mode
19:33 – AI employees over humans in customer support?
23:00 – For AI startups, traffic > revenue
24:43 – The bubble is in valuations, not utility
26:05 – How Rohit built his personal automations
28:38 – Costliest model is most used now
33:21 – What's going right and wrong for AI companies
37:49 – Hiring a VP of sales after $15M is possible today
39:57 – What edge does Claude have over other models?
43:35 – Founders need a "why me vs. why Anthropic" story
52:56 – What if Anthropic or AWS builds a gateway?
55:41 – Predictions for the next 12 months
59:40 – How big is the opportunity in Agents?
01:00:48 – Startups now have to prove it's not a weekend project
01:01:54 – Is Build v/s Buy no longer a Debate?
01:03:50 – What would Rohit build if starting up today?
01:05:58 – How Portkey is different from an API gateway
01:08:26 – MCP / tool calling enables agentic workflows
01:12:00 – Portkey's Community-driven early GTM
01:13:34 – Startups have only 2 reasons for Open core

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

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