We built a lead gen tool. It was a failure. So we built a team instead.
Last month, I was staring at our churn rate for Multify.
We had built what I thought was a solid product: a lead discovery tool. It worked. It found emails. It found LinkedIn profiles. But it was "salad"—healthy, functional, and completely boring. Users would sign up, run a search, and then leave. They didn't want leads; they wanted growth, and they didn't have the time to turn those leads into customers themselves.
I realized we were selling a treadmill to people who just wanted to be at the finish line.
So, we made a radical pivot. We stopped building a "tool" and started building a "team."
We transitioned Multify from a single search bar into a coordinated squad of AI Agents. Now, instead of just giving you a CSV, we have:
• A competitor_analyst that identifies where your rivals are weak.
• A content_advisor mapping out your organic strategy.
• An outreach_specialist that doesn't just find emails, but builds relationships.
The shift from "Software as a Service" to "Service as a Software" changed everything. We’re no longer selling a utility; we’re selling the result of a $10k/mo marketing team for a fraction of the cost.
It’s been a brutal pivot, moving away from the "Lead Gen" saturated market into Autonomous Growth. But for the first time, the feedback isn't "this is useful"—it's "this is exactly what I needed to scale."
How are you guys handling the shift from simple AI tools to more complex agentic workflows? Is the "single-feature" SaaS dead?
https://multifyco.com
Interesting pivot.
Did you find that users preferred paying for the outcome instead of using a tool themselves?
It seems like many founders are moving from SaaS tools to "done-for-you" or AI agent services.
The treadmill vs finish line analogy is exactly right and it applies to content too. Most SaaS podcasts have the same problem. Great insights stuck in an audio file nobody repurposes. The founders who are winning right now are the ones turning every episode into LinkedIn posts, newsletters, and threads their ICP actually sees. Curious how Multify is thinking about content as part of the autonomous growth stack?
I really do think that the "single-feature" Saas is dead and buried because most of them are just tools that anybody can vibe-code in a few hours for their personal use.
I think the market will move progressively to something old but repackaged, outcome as a product.
I think the future is vertical SaaS.
"Selling a treadmill to people who want the finish line" — that's one of the clearest product lessons I've read in a while.
I'm dealing with a similar tension right now. I built an API monitoring tool, and technically it works — detects downtime, sends alerts. But what users actually want isn't an alert. They want peace of mind that their product is running. Those feel similar but they're very different products.
Your pivot from "data delivery" to "outcome delivery" is the direction I think most tools will have to go eventually. The question is just how much of the workflow you absorb before it becomes a service business instead of a SaaS.
Did churn actually drop after the pivot, or is it too early to tell?
"Selling a treadmill to people who want the finish line" is a really good way to put it. I've been wrestling with a similar thing.
I'm building an offline grammar checker for iOS. The tool works. Checks grammar on-device, no network call, 47ms per paragraph. But the question I keep asking myself is: does someone actually want to *open a grammar checker*, or do they want to write well without friction? Those are different products.
Haven't pivoted yet but I'm watching my own usage patterns carefully. If I'm only using it when I remember to, that's a sign the workflow isn't tight enough.
The team-vs-tool framing is useful. Curious whether your churn actually dropped after the pivot or if you're still early to tell.
The "treadmill vs finish line" framing hits hard. I keep coming back to the same tension with ReviseFlow, a visual bug reporting tool for agencies. Clients don't want a bug report. They want a fixed bug. So I can capture the perfect screenshot with console logs and device info, but if it doesn't get routed to the right person and actually acted on, it's just another notification nobody reads.
I'm not sure single-feature tools are dead. I think it depends on where you sit in the workflow relative to the outcome. Lead discovery is far from a closed deal, which is why you needed to do more. Bug capture is closer to the actual fix, so the gap is smaller. The question is whether your tool is outcome-shaped or just data-shaped.
How's the churn comparing now vs before the pivot? That metric would really tell the story.
That’s a great example of learning from the market. Curious what made you realize the team approach worked better than the tool?
Interesting pivot. I think a lot of AI tools face the same issue — users don’t really want “features”, they want results. Giving leads or data still leaves most of the work to the user. Turning the product into something that actually executes the workflow makes a lot of sense. Curious to see how far this “service as software” model goes.
That’s a bold pivot, but the reasoning makes a lot of sense. Many founders start by building tools that generate more data for users, but the real challenge is turning that data into actual growth.
The idea that people don’t want a treadmill but the finish line is a great way to frame it. In many cases the bottleneck isn’t finding leads, it’s having the time and strategy to act on them.
I’m curious how users respond to the agent-based approach. Do they feel comfortable letting AI handle most of the workflow, or do they still want to stay closely involved in the process?
Interesting pivot.
I see the same pattern with a lot of tools right now, people sign up, run one task, then leave because the real work still has to be done manually.
Your “tool > team” framing is interesting. Its basically shifting from giving people data to actually delivering the outcome.
Curious though: how do users react to the AI agents doing more of the work? Do they trust the automation or do they still want a lot of manual control?
They trust automation!