Beyond Notion: the real bottleneck is distribution

I came out of a recent conversation with a top-tier seed fund feeling something I haven’t felt in a while: the story around Notis is starting to click fast for people who really understand product, timing, and scale.

What made it even more interesting is how the conversation started. They found Notis through my YouTube content. That matters. It’s a reminder that in a world flooded with noise, consistent signal still compounds. You don’t always know which video, idea, or product insight will travel far enough to put you in front of the right people, but when it does, the quality of the conversation is instantly different.

Why the conversation with a top seed fund mattered

This wasn’t a vague “AI is interesting” discussion. It was grounded in the fundamentals: traction, economics, product direction, and what it would take to win the category.

We talked about the current state of Notis and what the business already proves today. The company is growing profitably. The LTV-to-CPA dynamics are strong. A meaningful share of users convert to yearly plans, which is one of the clearest signals that people understand the value quickly and intend to stay. We’re also seeing acquisition momentum across markets, not just in one geography or one audience pocket.

Mexico came up as a particularly strong example. It’s one thing to get pull in your home market or in the usual English-speaking startup circles. It’s another when you start seeing real resonance internationally. That kind of demand tells me the problem is broad, the product framing is portable, and the use case is not niche.

What Notis is really becoming

One thing I wanted to make very clear in the conversation is that Notis is not just another AI layer bolted on top of productivity software.

The way I think about it is simpler and more ambitious than that: Notis is a productivity layer that meets users where they already are. It works with the tools they already use. It helps them delegate first. Then, over time, it helps them automate.

That progression matters.

Most people don’t wake up wanting “automation.” They want relief. They want clarity. They want to stop leaking energy on repetitive tasks, context switching, and system fragmentation. Delegation is the natural entry point because it feels intuitive. You ask Notis to do something for you. Once that trust is established, automation becomes the logical next step.

That’s the wedge.

The market often tries to force users directly into rigid automations, dashboards, or systems they didn’t ask for. I think that approach is backwards. The right path is to start with usefulness, then earn the right to orchestrate more of the workflow.

The vision beyond Notion

The most important part of the discussion was the product vision beyond Notion.

Notion has been an incredible environment for learning, distribution, and product discovery. But the long-term opportunity is bigger than being attached to a single surface. What I’m actively building now is a version of Notis organized around its own database layer and a generative UI model.

That means the product doesn’t just assist inside an existing app. It can become the app.

The idea is that a user should be able to describe the business software they want in plain language, and Notis should generate both the interface and the underlying data structure. Not a fake prototype. Not a static mock. A real working business tool shaped around the user’s needs.

This is where things get interesting.

For years, software has required users to adapt themselves to predefined tools. The next wave flips that model. The tool adapts to the user. If we get this right, the value is not just better productivity. It’s compressing the distance between intent and execution.

You shouldn’t need to spend weeks choosing software, configuring tables, designing views, and stitching workflows together just to run your business properly. You should be able to describe what you need and get a living system back.

What investors immediately understood

A top seed fund responded very positively to that vision.

The feedback was not theoretical. The framing was essentially: this is already investable, and if I wanted to accelerate go-to-market and capture the category faster, a $3M to $5M round would be the right size.

I think that reaction came from one core truth: the product direction is not the fragile part of the story. The technical side is highly executable. We can ship quickly. AI agents dramatically increase leverage on the engineering side. The pace of iteration is not the limiting factor.

That creates a very specific strategic tension.

The real bottleneck is distribution

Engineering is not the bottleneck for Notis. Distribution is.

That’s the sentence more founders need to say out loud.

We’re entering a period where small teams can build incredibly ambitious products with very high velocity. The old assumption that product development is the slowest part of the company is becoming less true, especially for AI-native teams. If you know what you’re building, you can move fast.

But shipping fast is not the same as winning fast.

The harder question is how aggressively you can scale awareness, trust, category ownership, and go-to-market before the window gets crowded. That’s where leverage matters now. Not because the product needs rescuing, but because the opportunity needs amplification.

In other words, the challenge is no longer “Can we build it?” The challenge is “Can we distribute it at the speed the market window demands?”

What happens next

The immediate next step is straightforward: I need to turn the post-Notion thesis into a concise write-up a top European seed fund can circulate internally.

That document matters because it needs to do two jobs at once. First, it has to explain the product evolution clearly: from assistant, to productivity layer, to generated business software. Second, it has to make the market timing obvious: if AI makes product creation faster, then the scarce asset becomes distribution and category capture.

That’s the real conversation now.

Not whether AI can help people work better. That part is already obvious.

The bigger opportunity is building the layer that starts with delegation, earns trust through usefulness, and eventually generates the systems people need to operate their business. If we execute well, Notis won’t just sit inside someone else’s tool stack. It will help define the next one.