Why We Built VibeSell

Every sales rep knows the feeling.

You're on a call with a prospect. They mention a competitor you haven't researched. They bring up a use case you didn't prepare for. They ask about pricing for a configuration you don't have memorized.

And in that moment, you have two choices: fumble through an answer, or say "let me get back to you on that." Neither is great.

The Problem We Couldn't Ignore

Before starting VibeSell, I spent years carrying a quota at Salesforce. I watched the best reps on my team, the ones who consistently crushed their numbers, and noticed something. It wasn't that they had better scripts or more charisma. They had better context.

They walked into every call knowing the prospect's tech stack, recent funding, org changes, and competitive landscape. They had battle cards memorized. They could pivot on objection handling without missing a beat.

But most reps, even good ones, couldn't maintain that level of preparation for every single call. There are too many meetings, too many accounts, too many things to keep track of.

The industry talks about this as a discipline problem. It's not. The average enterprise AE manages 50 to 100 active accounts. Deeply preparing for every call across all of them is a math problem, and the math doesn't work.

Why Post-Call Analysis Isn't Enough

The market responded to this problem with post-call analysis. Record the call, transcribe it, analyze it afterward. These tools are genuinely useful. They help managers coach, they surface patterns, they make QBRs more data-driven.

But they miss the moment that matters most: the call itself.

By the time you've analyzed what went wrong on a call, the damage is done. The prospect has already formed their impression. The competitor has already been positioned. The objection has already gone unaddressed.

What If the AI Was There During the Call?

That's the question Jordan and I kept coming back to.

What if, instead of analyzing calls after the fact, an AI could listen in real time and surface exactly what you need, exactly when you need it? Not a chatbot you have to type into. Not a dashboard you have to alt-tab to check. Something that watches the conversation and proactively pushes relevant intelligence to you.

Competitor mentioned? Here are the latest battle card talking points. Prospect asks about a feature? Here's the current status and positioning. Deal is stalling? Here's what worked for other reps in similar situations.

The technology had finally caught up to the idea. Large language models could understand conversational context in real time. Browser APIs had matured enough to capture audio with minimal latency. The infrastructure for streaming inference was production-ready.

Building VibeSell

Jordan and I started building because we believed real time was the unlock. What was missing wasn't better AI or better infrastructure. It was a product that put it all together in a way that actually worked during a live sales call. Without being distracting. Without being slow. Without requiring reps to change their workflow.

The hardest part wasn't the technology. It was the constraint that the product had to be invisible until the moment it was useful. If a rep has to think about using the tool, you've already lost.

That's what VibeSell does. It sits in your Google Meet, listens to the conversation, and surfaces intelligence in real time. Research, coaching, objection handling, competitive intel, all delivered while you're still on the call.

What's Next

We're just getting started. The real-time guidance engine is live, and we're working with early customers who are seeing measurable improvements in their call outcomes.

If you're a sales leader who's tired of tools that only help after the fact, we'd love to show you what real-time intelligence looks like.

Start the call or book a demo and see it for yourself.