Vijay Navaluri

Vijay Navaluri

Co-Founder @ Supervity | AI Employees

About

Founder at Supervity, on a mission to answer the question: What if work could drive itself? We are moving beyond the era of AI tools and copilots where humans are still the primary drivers of execution. At Supervity, we’ve built Autos-a self-operating execution layer designed to transform how work gets done. Our vision is to replace manual orchestration with autonomous systems that allow you to Hire AI Employees to own end-to-end outcomes. I I'm building a future where you don't just use AI to help you work, but where the work happens on its own.

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Question to users: demo call or self service signup?

This one is for you as users, not as founders.

When you find a new B2B tool, what do you want first? Book a demo with a real person or sign up and click around on your own?

We see both with k dlo. Some people sign up and start using it the same day. Others write to me first and want me to show them everything on a call.

Personally I almost always go self service. I only book a call when the product looks complex or expensive.

How I Managed to Reach #2 Product of the Day as a Solo Founder Competing Against Bigger Teams 🚀

Hey everyone, Elitza here, founder of own.page

A few days ago, own.page reached #2 Product of the Day on Product Hunt.

As a solo founder competing against products backed by much larger teams, this wasn't something I expected - but it was something I was determined to achieve. There were moments during the launch when I thought it would be incredibly difficult.

But this incredible community showed up.

The enterprise question isn’t capture. It’s control.

On a Tuesday, the first enterprise question is usually not can you capture AI code? It s who can see the records, how long do they live, and what happens when a policy blocks a change?

That s the part LineageLens is built for. Base gives you local capture. Lite gives a shared team record. Plus and Max move the data into a backend where auth, permissions, retention, and policy live next to the provenance records instead of around them.

The useful thing here is not another dashboard. It s a self-hosted record of prompt, model, tool, file, and outcome that engineering, security, and platform teams can actually govern on their own infrastructure.

I keep seeing AI governance tools start with visibility, then discover that the real enterprise questions are identity, retention, and review. If the record cannot be scoped, retained, and exported on your side, it is not really governable.

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