After two failed products, this founder dogfooded his way to $10k/mo
After two failed products, Yasha Boroumand built an AI-agent builder called FlowHunt. Then he used his own product to scale SEO. And now, it's bringing in $10k/mo.
Here's Yasha on how he did it. 👇
Early failures
I started programming in middle school, and I started tweaking and playing with Transformer models in high school. I liked the idea of building chatbots, but it was too soon for that — GPT-2 wasn't even out. So, I started with scrapers and an SEO WordPress plugin.
My first failed project was urlslab.com, a scraper that helps you monitor changes on your website. It failed because it was so technically difficult to make a scraper on a huge scale.
My second failed project was also urlslab.com, though it was a rebrand. This one was a WordPress plugin that helped websites improve their SEO, technical SEO, content writing, caching, image optimization, etc.
Currently, I'm working on FlowHunt.io. One of the first AI-agent builders that helps users make chatbots and complex AI workflows to solve SEO, back-office tasks, or sales use cases. It's currently at $10k/mo — $6k from subscriptions and $4k from one-off credits.
Technical challenges
We started by building a highly flexible tool to help our customers build AI chatbots, but then it evolved into specific workflows like SEO, back-office work, and sales. We built the first prototype of FlowHunt in two months and started marketing in July 2024. The first demos validated our assumption that each use case would be different and that flexibility would be key. Our platform had to adapt to new tech stacks with each customer, not to mention new AI paradigms, from RAG to Agentic RAG to AI Agents, etc.).
We got our first customer in that first month. And six months into marketing, we landed our first enterprise customer. And every week, we found a new use case to build an AI workflow from. It was a big technical challenge for us.
Here's our tech stack:
Python
PostgreSQL
FastAPI
Next.js
The challenge of building an AI tool
Since AI is a new market, volatility is high and only startups that innovate fast can continue competing and win. Every day, there is a new paper that can potentially change the future of AI — and in particular, how AI might be integrated into large enterprises.
That means that every day, after grinding the whole day, I go through the news and read AI papers. I learn what's new, test new tools and models, and think about how to integrate them into FlowHunt.
It's not easy. But I'm getting used to it and even beginning to enjoy it.
Using a hybrid model
As I mentioned, we use a hybrid model: tier-based subscriptions + credit-based AI tokens. Each tier has a specific number of credits. And in higher plans, we offer users the option to buy one-off credits.
We've used the same pricing from the start. We focus on bringing value, and the customers that see value buy more credits per month.
So far, our revenue is roughly a 60:40 split.
Dogfooding automated SEO
SEO is our main growth channel. From the start, I wanted to grow traffic organically, so we post content consistently.
We ate our own dogfood and used FlowHunt to generate thousands of pages, translate them, and update/analyze the search console — all automated from end to end. With only one copywriter on our team, we generated more than 2k pages, which are ranking on 6k+ keywords with 40k+ organic traffic.
This is what we are also delivering to most of our customers, which helps them grow traffic by using our automated flows consistently.
Every founder should handle customer support
Customer support and customer care are the most important aspects of any startup at any stage. That's how you retain the customers, keep the startup engine going, and find the best UI/UX for your users.
No startup can succeed if the founder doesn't communicate directly with the customer. In my previous startups, I didn't do that much and I learned from that mistake. With FlowHunt, I stay in contact with my customers. And because of that, I've been able to point out the exact UX flaws that they were getting hung up on.
These UX flaws that customers point out are the low-hanging fruits to fix retention and upgrades.
Deploy fast
Just deploy fast.
It's easier now than ever before to start. Just use a coding agent, deploy it fast, get your first customers, and keep iterating fast.
That's your only advantage as a startup. You have to be fast.
What's next?
We aspire to be the go-to closed-source AI Agent platform. We want to increase the accuracy and proactivity of our AI Agents' executions every day. And we want to be on the cutting edge of tools that help businesses of all sizes adopt AI.
One way we're doing this is through events. We have held several events in the Central EU to help all companies use Vibe coding in production.
You can follow me on LinkedIn. Or check out FlowHunt and our FlowHunt YouTube channel.
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This was really insightful, I love to see how you used it on yourself to prove results. This "client 0" way of architecting cannot be undervalued. I look forward to seeing more of your growth in the future!
Amazing founding growth story. Congrats Yasha.
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