3
1 Comment

I got cancer. So I built AI agents to run my startup's marketing. Here's what happened.

I've been building startups for 15 years. Three companies. Raised $6M+ for the last one — launched from Europe into the US market.

You know the drill. You're the founder, which means you're also the marketing team. Positioning. Content. SEO. Outreach. Competitor tracking. Landing pages. Analytics. The GTM work that eats your evenings and weekends and still never feels done. I was deep in it. Running everything, convinced I'd hire help "next quarter." Next quarter never came.

Then I was diagnosed with cancer. When everything stops except the business. Treatment became the priority. The only priority. Chemo days where you can't think straight. Recovery weeks where opening a laptop feels like climbing a mountain.

But here's what nobody tells you about getting sick as a founder: the business doesn't care. Customers still email. Competitors still ship. Your SEO rankings don't pause because you're in a hospital bed. I watched months of GTM momentum evaporate in weeks.

Building my replacement

So I did the only thing I knew how to do. I started building. Not the product. Not features. I started building AI agents to do what I used to do.

First, a research agent. Feed it a topic, get back keyword analysis, competitor gaps, search intent — the stuff that used to take me a full day.

Then a content agent. Not the garbage AI content you're thinking of. An agent with my brand voice, my positioning framework, my style guide baked in. It wrote drafts I'd actually publish.

Then SEO. Then outreach. Then analytics.

One by one, I stitched together a system of specialized AI agents. Each one focused on a single job. Each one talking to the others. Research feeds content. Content feeds SEO. Analytics feeds back

into research.

By month three, I had an autonomous GTM engine running while I was in treatment.

It kept shipping. I kept healing.

The part I didn't expect

Here's the twist nobody warns you about with side projects: sometimes the side project is the thing. As I got better, I looked at what I'd built and realized — this isn't just a cancer hack. This is the answer to the biggest problem every founder I know has.

Think about it. How many of you are on IndieHackers right now because you built something great and can't figure out the marketing?

You can code. You can design. You can ship product at 2am. But when it comes to GTM — writing that landing page, figuring out your SEO strategy, creating content consistently, doing outreach — it feels like a different language.

And the advice is always the same. "Just start a blog." "Post on Twitter." "Do cold outreach." Cool. With what time? With what team?

You're already working 16-hour days on the product. Marketing isn't a task you can squeeze in. It's a full-time job pretending to be a side quest.

What I learned from the founders who fail

The hard truth I've seen over 15 years: most startups don't die because the product is bad.

They die in silence.

The founder built something genuinely useful. Maybe even better than the competition. But nobody heard about it. There's no content pipeline. No SEO foundation. No systematic outreach. The Product

Hunt launch got 47 upvotes and then... crickets.

I've watched brilliant technical founders burn out trying to learn marketing on top of everything else. Or worse — spend their runway on agencies that don't understand their product and deliver templated garbage.

The gap between "I built something" and "people know about it" is where startups go to die.

What InfiniteAny actually is

InfiniteAny is the system I built during chemo, turned into a product.

54 AI specialists that handle go-to-market. Not one chatbot trying to do everything. 54 focused agents, each with a specific job:

- Research agents that find keywords, analyze competitors, identify content gaps

- Strategy agents that build positioning, messaging, GTM plans

- Writing agents that create content in your brand voice — blog posts, landing pages, emails

- SEO agents that optimize everything for search

- Analytics agents that track what's working and feed it back into the system

They work together. Autonomously. Every day.

You give it your product context — what you built, who it's for, what problem it solves. The agents take it from there.

Why I'm sharing this here

I'm not posting this to sell you something. I'm posting it because I know what it feels like to be a solo founder staring at a blank marketing doc at 11pm, knowing you should be sleeping but also knowing that nobody's going to do this for you.

I built InfiniteAny because I literally couldn't do the work myself. Cancer took that option away. But the constraint forced me to build something I should have built years ago.

You don't need cancer to deserve help with GTM. You just need to admit that doing everything yourself isn't a strategy — it's a slow way to burn out.

If you're a technical founder and marketing feels like the thing standing between you and traction — I've been there. For 15 years I've been there. And for a few months, I was there from a hospital bed.

The system works. The agents ship. And you get to focus on what you're actually good at.

I built it because I had no choice. It exists so you do.

---

Happy to answer questions about the tech stack, the agent architecture, or the GTM strategy behind it.

posted toAvatar for product InfiniteAny
InfiniteAny
  1. 1

    The marketing workload for solo founders is brutal - you're right that it's positioning, content, SEO, outreach, competitor tracking, and analytics all at once. AI agents can definitely help, but the key is automating the right parts of the workflow.

    I've found the most effective approach is to automate the discovery and monitoring, but keep the actual engagement human. Here's what works:

    1. Automate the listening: Set up systems to monitor Reddit, Twitter, Discord, forums for mentions of your problem space. Track keywords like "looking for [solution type]" or "frustrated with [current tool]."

    2. Automate the research: When you find a potential lead, automatically pull context about their company, role, recent posts, and pain points they've mentioned.

    3. Keep outreach human: Use that research to craft personalized messages that reference specific problems they've mentioned. The automation gives you the intel, but the actual conversation needs to feel genuine.

    For content, automate the topic discovery by tracking what questions come up repeatedly in your target communities. Then write content that directly addresses those specific conversations.

    The competitor tracking piece is huge too - automate monitoring when competitors get mentioned, what people like/dislike about them, and gaps in their offerings.

    I actually built a tool to automate this exact workflow because I was spending 15+ hours a week manually monitoring communities and doing research. The time savings let me focus on the actual relationship building.