Poojan Kumar: Oracle Exadata reached $1B revenue as a fast-growing product
“It was one of the fastest growing products, getting to a billion dollars of revenue at Oracle while I was there.”
Poojan Kumar: Enterprise startups must be built on major sector discontinuities
“Whenever I, you know, look at starting something, at least in the enterprise, you have to look at what's the big discontinuity happening in the sector, right?”
Kumar: Public cloud backup requires fundamentally different architecture than on-prem
“And the scale and the architecture needed to go and, you know, provide backup and cyber resilience for them was very different than an architecture needed to go backup, you know, on-prem or even backup SaaS applications, right?”
Kumar: Clumio followed Snowflake's self-serve consumption-oriented platform model
“Back in the day you would essentially, you know, say, okay, how do I build a platform which is very easy to use, right? Where somebody can go, come to your website and start using it and even start consuming it, which is, you know, how Snowflake did it, which …”
Kumar: No vendor has yet holistically solved AI agent data lineage
“I think that is very early days. I don't think anybody has really tackled this holistically yet, but this is I think important.”
Poojan Kumar: Successful AI startups scale through bottom-up adoption, not top-down sales
“The ground up adoption is how you have to target it. You have to essentially think about how are you going to essentially get this thing in the hands of your end user, make it very easy and essentially make sure that it's something that is, is, is loved by the…”
Poojan Kumar admits raising far more capital than his startups actually needed
“I think, you know, I, I've made my fair share of mistakes there too. When you raised, you know, way more capital than what you needed, right?”
Kumar: Startup M&A works like closing a long-term enterprise deal
“When somebody is you know, is looking to buy a company at the end of the day, you know, they're buying, you know a platform, a company, to essentially make it part of the bigger entity and really grow it, right? And so I think it's a large deal at some level, …”
Kumar: PernixData advisors and VCs interviewed early sales reps and leaders
“My advisors at Pernix, at least like literally would help me even in interviewing, you know, our head of sales in, in, and before even we had a head of sales, you know, interviewing with the reps and in, in some case, you know, VCs who have essentially neither…”
Kumar: PernixData and Clumio raised Series A rounds off pitch decks alone
“And in Pernik's case, we went and there's 11, seven million dollar series A with basically a PowerPoint deck with all the three things. And then Clumio did the same thing.”
Kumar: Founders should pitch lower-priority VCs first to refine their deck
“I tell folks, don't go to your Perfect target in the first testing. It's okay, you've got to burn a little, you know, burn a couple folks to perfect it.”
Kumar: On-Prem Data Center Architectures Cannot Be Retrofitted to the Cloud
“Can I take a on-prem architecture, data center architecture and really retrofit it to the cloud? Not really.”
Kumar secured Pernix's first $15k customer by pitching a competitor's booth attendee
“That
Guy, whom I actually caught at the booth, became our first customer, first paying customer at Purnix.
More, 15,000 dollar deal.
He bought it for two servers.
First paying customer.
And not only that, he actually went ahead and joined the company also as o…”
Kumar: Enterprise tire-kickers will not spend time testing free software
“These folks, at least in the space we play in, they won't give you the time. They don't have the time to give you. You're asking for real time, right? Maybe one hour a week, You know, installing the software in their environment, asking for feedback and all of…”
Kumar: Clumio burned $3M to $3.5M over its first two years
“If I literally use the amount of capital we burned to kind of go through the first year and a half, two years to get that, you know, initial alpha beta product was like three, three and a half million dollars.”
Kumar: Enterprise PMF Is Reached When Sales Reps Predictably Close Deals
“I think product market fit in a, in both cases, like it's about finding the repeatability. Can you hire You know, a new sales rep, and can you point them in the right direction, which they call, say, an ICP, ideal customer profile, and train them on the two or…”