Vas (Vasuman) from Varick Agents

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546 appearances 1 recordings 1 series first heard Jul 2026 last heard 20 Jul

Vas (Vasuman) from Varick Agents’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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The Startup Ideas Podcast · FDE: The $1M/Year AI Job Explained · 20 Jul 2026 podcast

So I lived in New York for a few years, and I had a ton of buddies who were Palantir forward-to-point engineers, so I have a little bit of insight into this.

Without sharing what I think is proprietary, Palantir has an ontology.

They have a software stack that they work off of, and this is full of connectors to software, but also data lakes, which allow enterprises to pipe their data into a unified interface.

And what Palantir FDEs then do is they'll actually be deployed on site.

So this is either like enterprise customers or the military, the government, and learn their workflows and then spin up kind of workflows, dashboards, agents that will solve the problem for these companies.

So Palantir really popularized the idea of essentially what was consulting, but for the software space, they coined the term for a deployed engineer and it really started to allow their business to take off.

They had a centralized platform, but

its beauty was not in how tech forward it was, it was in how customizable it was.

And then these forward-deployment engineers would go on site, customize it for a client, and it would really solve their pain points better than a generalized service.

That is sort of the thesis, yeah.

And the Palantir, I think, really solved it when it came to the data age, where you wanted to unify your data sources and then visualize it in more unique ways.

I think the AI age is going to demand that 100 times more, where every single company is going to need customized agents.

And that's actually what we're here to solve as well with our OS.

But everyone is sort of coming to the same realization that forward-deployed engineers are a massive reason why AI is going to be powerful for businesses.

So someone has to decide where intelligence belongs, not just where it's applied.

And that person is a forward deployed engineer as well.

So there's kind of three stages to a forward deployed engineer's involvement at a company.

The first is understanding the business reality.

So it's how the work actually happens today.

And I think this is the part that gets glossed over by people who are very deeply in tech.

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