Last year, I wrote a post on Indie Hackers about how we grew Olympia — our AI SaaS for solopreneurs and small teams — to $6K MRR in just ten months, without relying on big budgets or expensive ads.

It blew up.

What resonated most wasn’t just the numbers — it was the story of scrappy experiments, fast feedback loops, and community-driven growth. Continue reading to learn more about what we did right in a bit more detail.

The Starting Line

Our journey began in May 2023. My co-founder and I launched Olympia as a lightweight MVP: an AI-powered team of assistants for solopreneurs and small startup teams that don’t have the time (or budget) for large operations or marketing.

We kicked things off by creating a waitlist and began collecting emails, and shared it in our personal networks, a few online communities, and — crucially — involved friends and early supporters from day one.

Later, we sent private invites in small batches, listened obsessively to feedback, and refined the product in near real-time. By the time we had 30–40 people using it, we had already made major UX and feature changes.

This early intimacy with our first users turned them into fans. Word of mouth started to do the heavy lifting.

Finding Our Product-Market Fit

Listing Olympia on AI directories was a breakthrough moment. Our waitlist exploded — we started seeing 5–10 pages of new subscribers daily.

While sending more private invitations, we continually improved the product on a weekly basis and shared our progress openly through newsletters and social media.

At some point, we tried newsletter ads, but most turned out disappointing. The traffic was okay, but conversions were low. Lesson learned: expensive ads don’t beat community trust.

The Hard Launch (and a Price Increase)

By September, we rolled out of beta and raised prices. We grandfathered our early adopters into their original pricing as a thank-you.

At this point, we:

We wrote articles on Indie Hackers, Medium, Hacker News, Entrepreneur, and HackerNoon. We also appeared on Twitter Spaces, sponsored a few in-person events, and started speaking gigs, and online and offline AI workshops.

Our Product Hunt launch provided a significant boost, and we began to see increased traction.

The Strategy That Actually Worked

Here’s what really moved the needle (and what didn’t):

✅ Direct community engagement — real conversations, feedback loops, and showing up at events.

✅ Content with substance — honest updates, behind-the-scenes posts, and educational articles.

✅ Leaning into product velocity — weekly updates, quick iterations, and new features.

✅ Personal connection — founder-led sales built long-term trust with our customers.

❌ Paid ads — we tested them, but they failed to deliver meaningful ROI.

❌ Overhyped newsletter sponsorships — too expensive for the results.

2024: Expanding the Foundation

In 2024, we focused on content marketing, expanding our blog, and growing our newsletter.

We launched an affiliate and referral program, which included referral links in the emails our AI assistants send directly from the platform, and built unique, powerful features our users asked for.

I believe that was the reason why we saw a big drop in churn and a 48% increase in LTV.

What We Learned

The biggest surprise wasn’t the growth — it was seeing how many founders feel stuck chasing quick wins and paid growth hacks instead of building real momentum.

Sustainable SaaS growth isn’t about how much you spend; it’s about how fast you can learn and improve, and how deeply you stay connected to your customers.

🌱 The 90-Day Organic SaaS Growth Blueprint

After sharing our story, I received dozens of messages from founders asking how to replicate it.

So, I turned the experience into a practical resource:

It’s a FREE PDF that outlines:

👉 Get the Blueprint here with a bonus inside.

Final Thought

We didn’t grow because of ads or funding — we grew because we moved fast, listened harder, and built community trust first. If you’re trying to figure out how to grow your SaaS without burning cash or chasing vanity metrics, I promise this will help.