Engineering Founders

The episode contains solid, non-obvious ideas about problem discovery, beginner's mindset, distributed systems thinking applied to supply chain, and the shift from platform thinking to customer-centric design. However, much of the value is concentrated in the first half; the latter sections repeat core themes and include filler around podcast recommendations and generic founder advice that dilute density.

“if you imagine building a system that is perfect, you've already failed, right? It's like as an engineer, right? As like an engineer, the thing that you always think about is like you build systems that are reacting to chaos and continuing to operate.”

“I had a boss a long time ago who said, is that, you know, just be curious, that's it, right? It's like all I want from my people is to be much more curious.”

Pooja offers a genuinely fresh lens on agentic AI applied to unglamorous industries (mid-market manufacturing), the comparison of supply chains to distributed systems, and the strategy of building value layers atop legacy systems rather than rip-and-replace. However, core ideas like 'beginner's mindset,' 'meet customers where they are,' and 'founder networks are valuable' are well-worn in startup discourse. The agentic architecture thinking is emerging industry conversation, not yet contrarian.

“Our strategy was not rip and replace. Our strategy was how do we add value on top of the procurement decisions that you've already made.”

“if you imagine supply chains to be not these linear workflows, but to be these systems that are running in a distributed world with various signals coming your way, how are you able to manage that?”

Pooja is a highly credible operator: ex-engineering leader at DocuSign and Stitch Fix (both scale companies), founder actively shipping product with $1M+ ARR bootstrapped and profitable on minimal capital, and deploying agentic AI in production at real customers (Otis Elevators). She demonstrates deep domain knowledge in both engineering and business. Not a pure thought-leader or podcast regular. The main limitation is this is still relatively early in her founder journey (pre-Series A deliberation), so the full arc of scale hasn't played out.

“I ran engineering for Docusign for years”

“we're getting close to a million dollars of ARR. Ah, we're profitable”

The episode includes named customers (Otis Elevators, specific ERPs like SAP, Sage X3, NetSuite), concrete metrics ($1M ARR, profitable, 10 big customers), and tangible deployment timelines (running in production, agent setup in hours, deployment in a week vs. traditional 2-3 year cycles). However, Pooja rarely provides hard numbers on impact (e.g., hours saved, cost reduction %), specific deal sizes, or detailed examples of agent behavior. Many claims remain illustrative rather than evidence-backed.

“we're getting close to a million dollars of ARR. Ah, we're profitable and it's been, it's been amazing to. Right? Is that the right time, the right capital, the right network?”

“within a week, we're up and running for these systems. For our agents to understand your system without having to read manuals and figure out APIs. You're talking hours right now”

The host asks thoughtful, open-ended questions and follows Pooja's threads ('tell me about that moment,' 'unpack the beginner's mindset'). However, follow-ups are often soft. When Pooja makes bold claims ('the RFQ process is fundamentally dead'), the host doesn't push back, probe timelines, or ask 'when will that actually happen?' The host also allows Pooja to drift into abstract territory on future scenarios without grounding them in present reality. The rapid-fire section feels obligatory. Notable strength: the host sets strong thematic frames at the start and tracks them through conversation.

“When I think about the world of supply chain, I can't imagine more complex space to start to streamline. To me it just seems like there's so many different variables and inputs that people are constantly analyzing and assessing.”

“I want to dive into like the identifying the problem point that you're talking about. Can you tell about the moment when you I think really connected with the problems that you were seeing around supply chain?”