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The Exit He Mentioned Like It Was Nothing

Genuine experience doesn't announce itself. It just quietly makes better decisions.

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We were halfway through a coaching call. One of the guys on the call was walking me through a tool - a chatbot builder, rule-based flows, visual drag-and-drop interface, aimed at helping businesses qualify leads and route conversations. He was excited. He had a demo. He'd been tinkering with it for a client in Quebec, mapping out realtor listings, filtering leads, building out the flow logic. He thought he was showing me something new.

He pulled up the screen share. Walked me through the nodes. Showed me how you pick a branch - available listings, realtor detail - and the bot executes the path. Clean UI. Working product. Real market demand.

And I said: "Yeah, I saw a company that does this. Botfuse.com. Watch the videos."

He looked it up. "Yeah, yeah," he said. "This was - I sold this company already. Like two or three years ago."

"Wow."

"Yeah, we sold it to Zopto."

And then we moved on.

No pause. No "let me tell you about the time I exited a company." No credential drop. One sentence, then back to the call. The guy on the other end of the screen share sat there for a second - you could feel it - recalibrating. Because he'd just spent ten minutes pitching me a market I'd already built a company in, sold it, and filed away as a prior chapter.

That moment stuck with me. Not because of the exit itself. But because of how it came out.

The Difference Between Performing Expertise and Having It

Most founders - when they've done something notable - make sure you know about it. They open with it. They work it into the first two minutes. "Before we get into this, I should mention I've done a few exits..." It's not malicious. It's just what insecurity looks like when it's dressed up as confidence.

The people who've actually done the work don't lead with the résumé. They lead with the problem. They're too busy thinking about what's in front of them to perform their history for you. The history just surfaces - quietly, matter-of-factly - when it's directly relevant to the decision being made.

That's what happened on this call. The Botfuse exit didn't come up because I was trying to establish credibility. It came up because the guy was showing me a product in a market I already had pattern recognition on, and the most useful thing I could do was save him time. The credential was incidental. The insight was the point.

This is the real tell. Not what someone says about themselves when asked. But what surfaces naturally when they're just doing the work.

What the Chatbot Market Actually Looks Like

I don't want to skip past the actual substance of the call, because it matters. He was showing me rule-based chatbots - if/else logic trees, no AI, just structured flows. And he made a comment that was actually sharp: he estimated about 80% of chatbot use cases in the market are exactly this. Rule-based. Decision trees. The AI-powered stuff is maybe 20%.

And both, in his words, are "using it wrong."

I agree with that. And I'd push it further. Most chatbots on websites today are either customer service bots - trying to answer questions, dig into a knowledge base, handle support tickets - or they're these elaborate rule-based flows that are essentially a FAQ in costume. Neither one is optimized for what actually matters on a B2B homepage: converting a visitor into a demo or a trial.

That's the entire thesis behind Galadon. Not customer service. Not education. Not "here's everything you need to know about our product." The one job is sales. Get the person who lands on your page and turn them into an action - a booked call, a started trial, a qualified lead. That's it. Everything else is noise.

And when your deal sizes are tens of thousands of dollars? That one conversion function is worth an enormous amount. You're not pricing that at $9 a month. You're not even pricing it at $99 a month because it's cute. You're pricing it at $99, $249, and beyond because if the bot is literally closing deals for you, the ROI math is embarrassingly obvious.

The guy on the call got this. He said something like: "That is the ideal thing. The Galadon model - for businesses. You're months ahead of the crowd." And he wasn't wrong. But being months ahead only matters if you stay focused on the thing that makes the product valuable. The moment you try to turn a sales conversion tool into a general-purpose chatbot builder, you've lost the plot.

Why the "Bubble for AI" Road Doesn't Make Sense Right Now

He had a question about the original Galadon vision - the idea of making it stupidly simple for anyone to build an AI SaaS. Like Bubble.io, but for AI apps. He wanted me to expand on it.

I'll expand on it here, because I think it's a useful lesson in why ambitious product visions can be traps.

The original idea for Galadon was exactly that: make it so easy to spin up an AI SaaS that anyone could do it. The models were the minimum viable product. People were signing up because they wanted to build AI apps, and the only way we let them build those apps was through the models. The demand was real. The early traction was real.

But if we'd continued down that path, here's what it would have required: stop building the chatbot functionality and instead build an entire no-code AI development platform. Not a feature. An entire product category. We're talking potentially $100,000 in development costs and two years of serious dev work just to get to something that could compete in that space.

Meanwhile, the thing we already had - a sales-focused chatbot that converts website visitors - was working. People were paying for it. The market was clear. The differentiation was clear.

The "Bubble for AI" idea is genuinely interesting. It's probably a real opportunity for someone. But it's a different company than Galadon. And chasing it would have meant abandoning the specific, defensible thing we'd already built in favor of a massive, expensive, two-year detour to build a platform that competes with established infrastructure players.

That's a founder mistake I've seen a hundred times. You have a working, differentiated product. Then someone pitches you a bigger vision. And because founders are wired to chase scale, you start rebuilding from scratch to chase that vision instead of compounding on what's already working.

Don't do that.

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Pricing and Why $9 a Month Is the Wrong Number

Part of the call circled around pricing. Someone floated the idea of positioning this kind of tool as a $1 or $9 per month utility - maybe as a lead magnet tool, something low-ticket and high-volume.

I get where that thinking comes from. Lower price = more users = faster growth. On paper it sounds like traction.

In practice, here's what happens. If you price at $9 a month, you need thousands of paying customers just to have a real business. You need a massive support operation. You need marketing volume that a small team can't sustain. And you've commoditized your own product in the process - because $9 a month tells the market "this is a utility, not a strategic asset."

But if you're selling to B2B companies that are qualifying deals worth tens of thousands of dollars, and your bot is doing top-of-funnel conversion work that would otherwise require a human SDR? You're not a $9 product. You're not even close. You're a product that, if it works, pays for itself many times over every single month.

The pricing has to match the value delivered. And the value delivered here isn't "we answered some customer questions." It's "we converted three enterprise prospects into demo calls last week that your SDR team would have spent forty hours chasing."

You price accordingly. You build accordingly. You don't let someone talk you into pricing your product like a productivity app when it's functioning like a sales rep.

The Quiet Confidence Thing Is a Skill

I want to come back to the opening moment, because I think there's an actual lesson here that gets missed.

There's a version of me from ten years ago that would have made the Botfuse exit a centerpiece of the conversation. "Oh, you're building a chatbot tool? Let me tell you about when I built one and sold it to Zopto..." - and then fifteen minutes of backstory. The guy on the call would have gotten a history lesson instead of useful coaching.

The reason I didn't do that isn't because I'm humble. It's because I've done enough of these that the past exits aren't the interesting part anymore. The interesting part is: what does the pattern from that experience tell me about what you're building right now? That's the question that actually helps you. The story is just scaffolding.

I sold my first blog - Music Process - for $20 on Craigslist back in college. Months of work. Zero revenue. Someone paid twenty bucks and I thought it was the greatest thing that had ever happened to me and also the most embarrassing thing that had ever happened to me at the same time. That experience taught me something I've never forgotten: the market doesn't care about anything you care about. It doesn't care about your effort. It doesn't care about your vision. It cares about what something is worth to a buyer, right now, at this moment.

Every exit since then - including Botfuse - taught me some version of that same lesson applied to a different context. And now all of that is just... inside the decision-making. It's not something I pull out for show. It's just how I see the problem.

That's what you're building toward when you actually do the work. Not a louder résumé. A quieter one.

What This Means for You If You're Building Right Now

If you're in the early stages of building something - an agency, a SaaS, a service business - the temptation is to consume constantly. Watch every YouTube video, read every post, reverse-engineer what's working for someone else. I said it on the call and I'll say it here: that's how you end up building someone else's business instead of your own.

The people I watch who actually build things that last have one thing in common: they stay in their lane long enough to develop genuine pattern recognition. They do the thing enough times that they stop performing knowledge and start having it.

You can't shortcut that. But you can speed it up by doing more and consuming less. Build the product. Get the clients. Run the campaigns. Make the mistakes. Ship the thing. The experience you accumulate from actually doing it is worth more than any framework someone else hands you - including me.

If you want help building real outbound infrastructure while you're in that process - the kind that generates actual meetings with actual buyers - grab the top 5 cold email scripts I use and have taught to thousands of agency owners. These aren't templates for the sake of templates. They're the actual structures that convert cold outreach into pipeline.

And if you're trying to build a prospect list from scratch, the tools I'd point you to right now are ScraperCity's B2B database for bulk prospecting and the email finder when you need to get to specific contacts. Use those alongside Apollo or whatever your current stack is - the goal is verified, current data, not just volume.

The rest is just reps. Do the work. Do it long enough. And eventually, someone will show you the next big idea in your market - and you'll be able to say, quietly, that you already sold that company.

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One More Thing About the Call

Toward the end, someone on the call brought up AI tools eating into developer work - front-end especially. There's a whole class of visual design tools now where you screenshot a UI, and it generates a working prototype. The dev on the call said something I thought was interesting: he was excited about it. Not threatened. His reasoning was that if front-end is becoming accessible to non-technical people, the value shifts entirely to backend. Logic. Architecture. The stuff that can't be auto-generated from a screenshot.

That's right. And it applies more broadly than software. Whatever AI can commoditize, it will. The question isn't whether your current skill set gets automated. The question is what you're building underneath the skill set - the judgment, the pattern recognition, the experience of having shipped real things and watched them succeed and fail in the real market.

That's the thing AI can't replicate yet. And the people who are building it right now, by doing the actual work, are going to be in a position in a few years that nobody who was just consuming content will ever catch up to.

Go build something. The exit story will take care of itself.

If you're serious about the outbound side of your growth, the 7-Figure Agency Blueprint is the most complete thing I've put together on building a scalable B2B pipeline. And if you want live coaching and direct access, Galadon Gold is where that happens.

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