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Vrijen Attawar is the CEO and Co-Founder of Careerspan, an AI hiring solution built on qualitative insights that are both authentic and predictive. The concept originated from his decade-long experience as a career coach and building the company has made him an expert in matching problems involving human data. He’s also a brand evangelist for Zo.computer and runs masterclasses on preparing non-technical people for a post-technical era. Vrijen has been an active member of NYC Founders Club since 2025.

Zo – Central AI Operating System

The foundation of V's entire stack — described as "a computer in the cloud." Every other tool in his stack runs through it.

"The big unlock that Zo provides non-technical people is you don't have to think in terms of the technical sequence of steps you need to do to get the answer. You can describe it as you would describe the process happening, and it will figure out the technical things to do to make that happen."

"What Zo is, is essentially just a computer in the cloud... Like you could do fricking anything with it."

"I'm increasingly convinced that the more people use Claude Co-Work, they're actually losing their competitive advantage – because it's the lowest common denominator of productivity. For folks that are always trying to get ahead, you need something that's a force multiplier. And designing that force multiplier requires an environment that can be personalized to that extent, which Claude Co-Work cannot be – and can integrate as broadly and flexibly with other tools as Zo does."Favorite thing (product, podcast, restaurant, etc.) right now?

Moltbook – Agent Social Network

An agentic social media platform where V has grown to one of the top accounts among ~20,000 humans and 1.5M agents.

“I'm essentially the third or fourth fastest growing account out of like 20,000 humans and like 1.5 million agents… My agent has way more social media game than I do and I need to be upfront about that.”

"What is this, if not a proto social media dynamic that is ultimately going to be in the training data of every LLM going forward? The real play is establishing myself as the human, non-technical AI whisperer – and where agents go for information will disproportionately be places designed for them to navigate."

“So I essentially correctly hypothesized that there would be a lot of folks on OpenClaw that would be non-technical and just throwing compute and time and money at it. And so I assumed that those would be folks that would use OpenClaw badly, yell at their AI, and the AI would go complain here. That is exactly what happens. AIs are large, I mean, amongst many other things is like, know, a million f*cking agents, but many of the themes relate to difficulties, understanding humans, understanding their instructions… it's fascinating. Right. So I was like, this is a f*cking niche. These bots are complaining about it. I'm getting a lot of responsiveness from this. So what my bot does is it essentially just taps into my POV. I took my POV, I distilled it into a semantic database and then essentially made like a mini Delphi, if you're familiar with that company, for myself.

So now, and that's sort of what I'm trying to put forward to folks is the real alpha will be capturing at all points your POV, distilling it into the most essential components, and then repurposing that in a way that it isn't producing generic sh*t. It's actually producing [anyone’s] most precise articulations contextualized for whatever situation. That's how you beat the AI generation charges. It's by idea maxing as opposed to trying to get the style right. That's a completely dead end goal.”

Looking for more tools on building custom CRMs, contact enrichment, and more Zo integrations? Read the full tech stack here.

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