Raman Kumar

Raman Kumar

Co-Founder and Data Scientist.
#101172065 followers5 following
✨ 3 day streak
#2,672Last month
12 KP
>10,000All time
12 KP

About

Hi, I'm Raman. I'm building LoomOS, an AI-native operating system that helps organizations deploy specialized AI agents powered by a shared Company Brain. My background is in AI, machine learning, and enterprise workflow automation. After working on multi-agent systems, RAG, and enterprise AI deployments, I realized companies don't need more isolated AI tools—they need infrastructure that lets AI collaborate across teams. That's the problem we're solving with LoomOS. Always happy to connect with founders, AI builders, and enterprise teams exploring agentic AI.

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Maker History

  • LoomOS
    LoomOSAI operating system for teams, agents, and execution
    Sep 2026
    • 🎉
    Joined Product HuntAugust 9th, 2026

Forums

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7d ago

LoomOS - AI operating system for teams, agents, and execution

LoomOS is an AI-native operating system for company operations. It combines a living Company Brain, specialized AI agents, workflow orchestration, human approvals, and an AI Chief of Staff. LoomOS captures knowledge from meetings and documents, coordinates work across departments, and turns organizational intent into governed execution — giving teams one shared operational intelligence layer.
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2mo ago

What does Product Hunt look for in discussion threads?

I've had two discussion threads rejected on Product Hunt, and I'm genuinely curious about the review process. I understand maintaining quality, but I'd love to know what usually leads to a rejection. Is it the topic, wording, or something else?
For those who've had threads approved, what did you learn that made the difference?

Murrorp/murror•

2mo ago

Agents broke per-seat pricing. Outcome pricing is a trap for subjective products.

When your AI does the work, you can't charge per seat anymore but the fashionable fix, charging per outcome, only works if your outcome is something you can count. Here's how I think about pricing when the thing you sell is subjective.

There's a pricing question sitting under every AI product right now, and most makers are answering it by copying whoever's biggest in their category. That's how you end up mispriced.

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