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Give your website a 24/7 AI brain — and siphon free Google traffic with dozens of free mini-tools
A developer who hates marketing turned “marketing” into “just build another mini-tool” — acquire customers with whatever you're already good at
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
[Video] Bhanu (indie developer, India) launched SiteGPT in March 2023 and hit $10K MRR in the very first month. Now at $13K MRR, ~$500K lifetime revenue, ~130 customers, and an LTV around $1,700-1,800. He previously grew another SaaS, Feather, to $5-6K MRR and sold it for $250K. In the interview he showed his analytics dashboard (millions of visits) — verified.
The first customers came from a list Bhanu already owned. He had about 100 paying customers on Feather, his previous SaaS, and the question he asked was narrow: "I have 100 Feather customers. So, what can I build for them? Everyone has a blog. So, I thought, okay, why not build a chatbot that can answer everything that is on their blog?" Two weeks took it from idea to launch, and the first month produced $10,000 MRR, a number that says at least as much about the existing customer list as about the product. No money went to ads then or since. The repeatable engine came afterwards and is the part worth copying: free mini-tools sitting on keywords his buyers were already typing into Google. Today 60-70% of all traffic arrives from search and roughly 90% of that search traffic lands on those tools — about 50,000 clicks and 300 leads a month. For a developer starting with no list at all, that second engine is the real answer, and it begins paying around tool ten rather than tool one.
The first dollar was a monthly subscription rather than a one-off sale. SiteGPT sells a chatbot you drop onto your own site, and the price meters on three things: how many chatbots you need, how much content you feed them, and how many messages you expect each month. That averages out near $100 per customer per month, and about 130 businesses at that average is the $13,000 MRR. The speed is the striking part. Launched in March 2023 after two weeks of building, it reached $10,000 MRR inside the first month, because the buyers were the hundred Feather customers who already ran blogs and already paid him for software. Metering on usage instead of seats is what makes the number hold: an account that grows buys more rather than leaving, and lifetime value works out to $1,700-$1,800, roughly seventeen months of survival per customer. Cumulative revenue since launch is around $500,000.
One of the rare acquisition playbooks a developer can copy verbatim — and the founder showed his real analytics. The SaaS itself (AI website support) is a crowded space, but the free-tool SEO method transfers extremely well: nearly any vertical SaaS can run it. Evidence is solid. Strongly recommended for inclusion.
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Data credibility: Founder Bhanu showed his analytics dashboard in the Starter Story interview (millions of visits, 50K clicks/mo) — verified; the exact MRR was stated verbally but backed by the dashboard walkthrough. All revenue figures are founder-reported or estimated by the video creator — unaudited.
The flywheel is that every free tool lowers the cost of building the next one. Close to 50 exist now — a PDF-to-markdown converter, a chatbot name generator, and so on — and once that library was in place, a new one stopped being a project: "I can just tell Cursor, okay, look at these free tools. Now, in a similar way, create this new free tool. This is the keyword for it and it will just build it out in less than 5 minutes." Five minutes for a permanent Google asset is what turns SEO from a grind into compounding. The accumulated traffic then runs a fixed funnel: roughly 50,000 visits a month produce 200 leads, those produce 60 trials, and 25-40% of the trials become paying customers at about $100 each. Because each tool targets a keyword with difficulty under 10, it ranks without link building, and because each one ends in a CTA pointing at the paid product, the visitors arrive pre-qualified. More than a million visits have come through since launch with nothing spent on paid marketing.
Two different quiet stretches sit inside this story. The first was personal: Bhanu left a large startup eight months after joining and "moved back to my parents' house so that I won't have any expenses and just started building my own things" — a cost structure chosen so that a long run with no revenue would not end the attempt. The second is structural, and it is the one anyone copying the tool strategy will hit. A free tool aimed at a keyword with difficulty under 10 still takes months to rank, so the first handful return almost nothing and produce no readable signal in week one. What to watch during that period is position rather than traffic: whether each tool is climbing for its target keyword, and whether the people landing on it plausibly need the paid product underneath. His own answer to the waiting is to shorten what you are waiting on: "I would not spend months and months on launching something. I would say just launch with a very core feature of your product. And then let users' feedback guide you."
[Video] Built ~50 free tools related to the core product (PDF to markdown, chatbot name generator, etc.), which drive ~90% of his Google traffic — roughly 50K clicks and ~300 leads per month. The funnel: 50K visits → 200 leads → 60 trials → 25-40% converting to paid, at roughly $100 per customer.
[Video] 1) Leave Ahrefs Keywords Explorer blank to search the full keyword universe; 2) use 'include' filters for terms like AI + generator; 3) filter KD < 10; 4) filter volume > 1,000; 5) dump everything into a Notion list; 6) design a CTA for each keyword that funnels into the core product; 7) prioritize by volume / difficulty / build cost / relevance. Then clone each new tool in 5 minutes with Cursor.
[AI] The core SaaS (AI website support) is already a crowded space, but the free-tool SEO acquisition method ports to virtually any vertical SaaS. The capital bar is near zero, and AI pushes the cost of building tools toward zero. For developers who “can build but can't sell,” this is the optimal play — the only price is that SEO takes time to compound.
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