An indie dev grew his AI SaaS to $13K/month with zero paid marketing by building 50 free tools that rank on Google — and each new tool now takes under 5 minutes to create with AI.
Starter Story
An indie dev grew his AI SaaS to $13K/month with zero paid marketing by building 50 free tools that rank on Google — and each new tool now takes under 5 minutes to create with AI.
TL;DR
Bhanu, an indie developer from India, grew SiteGPT to $13K/month in MRR without spending a dollar on paid marketing — using a strategy called "engineering as marketing." He built nearly 50 free tools that rank on Google for low-competition keywords, driving 50,000 monthly visitors and around 300 leads per month [1] — Bhanu "90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competi…" 10:35 . His 7-step playbook using Ahrefs keyword research is shared in detail [2] — Bhanu "With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day …" 12:00 . The single most useful takeaway: builders who hate marketing can let their code do the selling.
Bhanu, an indie developer who grew SiteGPT to $13,000 MRR with zero paid marketing, shares his engineering-as-marketing playbook for driving free organic traffic through strategically built free tools.
The episode opens with a pair of back-to-back pre-roll sponsor reads before any guest content begins. The first is a humorous skit for Indeed's Sponsored Jobs product, featuring a hairdresser disaster caused by using hedge shears, with the punchline that qualified professionals on Indeed would have prevented the catastrophe. The second is a straightforward promotional read for Flaschenpost, a German grocery delivery service, offering new customers €10 off each of their first three orders using promo code HALLO30. Both reads conclude with clear URLs and calls to action. These two spots take up the first full minute of the episode.
Pat Walls opens the main content with a sharp hook — almost 1 million website visitors, $0 in paid marketing. He introduces Bhanu as a builder, not a marketer, and frames the episode explicitly for the segment of his audience that always asks: 'building is cool, but how do I market my app?' Pat promises to deliver Bhanu's 7-step process that drives thousands of monthly clicks for free, and flags it as essential viewing for builders who hate marketing. The framing is deliberate: this is not a story about a marketer who can code, but a coder who found a way to market without becoming a marketer.
Bhanu takes over the mic and delivers a remarkably compact origin statement: two SaaS products built, one sold for $250,000, one growing to $13,000 MRR with approximately $500,000 in cumulative revenue since March 2023 [1] — Bhanu "$500K total revenue since launch: SiteGPT has generated approximately $500,000 in total revenue since its launch in March 2023." 03:48 . He notes immediately that most of his customers come through a strategy he calls 'engineering as marketing,' signalling that the conversation is going to be both tactical and replicable. Pat probes further, asking Bhanu to explain what SiteGPT actually does — it's an AI chatbot builder that gives any website a 24/7 intelligent assistant, sold on a subscription model. The business is real, the numbers are disclosed openly, and the stage is set for a deep dive.
With unusual transparency, Bhanu pulls back the curtain on SiteGPT's entire business model. The traffic — 50,000 monthly visitors — breaks down into approximately 200 leads, 60 trial sign-ups, and somewhere between 15 and 24 new paying customers each month [1] — Bhanu "50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–…" 06:00 . At an average revenue of around $100 per customer, those 130 active businesses total $13,000 in MRR. But the metric Bhanu is most proud of is the customer lifetime value: $1,700 to $1,800 per customer [2] — Bhanu "SiteGPT LTV ~$1,700–$1,800: The average customer lifetime value for SiteGPT is approximately $1,700 to $1,800, which Bhanu considers unusua…" 06:55 . Pat describes the LTV as 'really impressive,' and it's easy to see why — at that retention level, every new customer is worth nearly two years of subscription revenue. The conversation then sets up the obvious next question: how does he get all that traffic for free?
Before getting into the marketing tactics, Pat asks Bhanu to rewind and share his origin story. The arc is a classic indie hacker trajectory: graduated, joined a large startup, felt out of place within 8 months [1] — Bhanu "SiteGPT reached $10K MRR in month 1: SiteGPT hit $10,000 MRR within its very first month of launch, driven largely by early traction in the…" 09:42 , quit, moved back to his parents' house to eliminate living costs, and started building. His first app, Feather, grew to around $5,000–$6,000 MRR. Then in early 2023, he noticed the explosion of AI tools on his Twitter feed and decided to spend a weekend building something with the technology — not to launch a product necessarily, but simply to learn. That experiment became SiteGPT. Within two weeks of having the idea, he launched; within one month, it hit $10,000 MRR[2]. The growth was so fast that he had no bandwidth left for Feather, so he sold it for $250,000 and went all-in on SiteGPT. It's a story about momentum, opportunity recognition, and the willingness to double down on what's working.
This is the centrepiece of the episode. Bhanu explains that he built approximately 50 free tools — things like a PDF-to-Markdown converter and an AI chatbot name generator — each chosen specifically because the people likely to use it are also potential SiteGPT customers [1] — Bhanu "90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competi…" 10:35 . He gets around 50,000 clicks from Google per month, and roughly 90% of that traffic is driven by these tools rather than the main product landing pages [2] — Bhanu "60 to 70% of traffic is from Google, and in Google, like almost 90% of Google's traffic is from these free tools that we made." 04:40 . The key insight is alignment: every tool must be adjacent enough to SiteGPT's core offering that the user it attracts is a plausible paying customer. Bhanu then reveals the AI-era advantage: with Cursor, he can now build a new tool in under five minutes by pointing the AI at an existing tool template and specifying the target keyword. What was once a multi-day build is now a lunch-break task.
Mid-interview, Pat breaks away to pitch the Starter Story Build Bootcamp — a structured program designed to help aspiring founders build and launch their first app using AI tools. Pat ties the pitch directly to Bhanu's story: Bhanu's strategy only works if you can build things, and now AI has made building easier than ever. He offers a discount code — BHANU — at checkout, framing the bootcamp as the next logical step for anyone motivated by the episode. The promo is brief, focused, and contextually relevant rather than a jarring interruption.
After the playbook walkthrough, Pat asks about Bhanu's tech stack and monthly costs. Bhanu rattles off a 12-tool setup: Ahrefs for SEO and keyword research, SiteGPT itself for customer support on his own site, Cal.com for scheduling customer calls, Datafast and PostHog for analytics, Sibyl AI for call recordings, Bento for email marketing, his old product Feather for blog writing, Featurepace for feature requests and bug tracking, Mintlify for documentation, Cloud Code for AI-assisted coding, and ChartMogul for subscription revenue analytics. It's a deliberately lean stack — no bloat, all utility — and the fact that one person runs all of this while maintaining $13K MRR is itself a testament to how far AI tooling has shifted the solo-founder ceiling.
This chapter captures Bhanu's most actionable contribution to the episode. Asked to give a step-by-step playbook for founders starting from scratch in 2026, Bhanu outlines seven steps. Step 1: open Ahrefs Keywords Explorer and search with a blank query to surface every possible keyword. Step 2: apply include filters using terms relevant to your product category (e.g. 'AI' + 'generator'). Step 3: filter by keyword difficulty below 10 — the threshold below which any decent website can realistically rank. Step 4: add a minimum monthly search volume of 1,000 to ensure the traffic is worthwhile. Step 5: export the surviving keywords into a Notion page with volume and difficulty columns. Step 6: design a CTA for each keyword that naturally bridges the free tool to the main product. Step 7: score every opportunity by volume, difficulty, build effort, and product relevance, then prioritise accordingly. The playbook is immediately executable by any founder with an Ahrefs account [1] — Bhanu "Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA…" 15:27 .
The episode closes with the perennial Starter Story question: what advice would you give your past self? Bhanu's answer is sharply pragmatic — stop over-engineering, launch the core feature as soon as possible, and let real users tell you what to build next [1] — Bhanu "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 u…" 13:48 . Pat riffs on the broader theme: if you hate marketing and struggle with it, the answer isn't to grind through cold emails and content calendars — it's to lean into the thing you're already good at, which is building, and find a marketing approach that flows from that skill. A co-host chimes in to highlight the AI angle: the fact that Bhanu can spin up a new SEO tool in five minutes changes the calculus entirely compared to just a few years ago. Pat closes with a pitch for the 4x4 bootcamp — four side-project tools in four weeks — and thanks Bhanu for the unusually transparent look inside a real, growing indie business.
Chapter 2 · 01:00
Pat Walls opens the main content with a sharp hook — almost 1 million website visitors, $0 in paid marketing. He introduces Bhanu as a builder, not a marketer, and frames the episode explicitly for the segment of his audience that always asks: 'building is cool, but how do I market my app?' Pat promises to deliver Bhanu's 7-step process that drives thousands of monthly clicks for free, and flags it as essential viewing for builders who hate marketing. The framing is deliberate: this is not a story about a marketer who can code, but a coder who found a way to market without becoming a marketer.
SiteGPT attracted over 1 million visitors and $500K in total revenue without spending a cent on paid marketing. The secret: engineering as marketing — building free tools that rank on Google.
Chapter 3 · 02:08
Bhanu takes over the mic and delivers a remarkably compact origin statement: two SaaS products built, one sold for $250,000, one growing to $13,000 MRR with approximately $500,000 in cumulative revenue since March 2023 [1] — Bhanu "$500K total revenue since launch: SiteGPT has generated approximately $500,000 in total revenue since its launch in March 2023." 03:48 . He notes immediately that most of his customers come through a strategy he calls 'engineering as marketing,' signalling that the conversation is going to be both tactical and replicable. Pat probes further, asking Bhanu to explain what SiteGPT actually does — it's an AI chatbot builder that gives any website a 24/7 intelligent assistant, sold on a subscription model. The business is real, the numbers are disclosed openly, and the stage is set for a deep dive.
Bhanu grew SiteGPT to $13,000 monthly recurring revenue entirely through organic channels, spending nothing on paid marketing.
More than 1 million people have visited SiteGPT's website since launch in March 2023, all through organic channels.
Bhanu sold his first SaaS product, Feather, for $250,000 so he could focus fully on the faster-growing SiteGPT.
SiteGPT has generated approximately $500,000 in total revenue since its launch in March 2023.
Chapter 4 · 04:20
With unusual transparency, Bhanu pulls back the curtain on SiteGPT's entire business model. The traffic — 50,000 monthly visitors — breaks down into approximately 200 leads, 60 trial sign-ups, and somewhere between 15 and 24 new paying customers each month [1] — Bhanu "50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–…" 06:00 . At an average revenue of around $100 per customer, those 130 active businesses total $13,000 in MRR. But the metric Bhanu is most proud of is the customer lifetime value: $1,700 to $1,800 per customer [2] — Bhanu "SiteGPT LTV ~$1,700–$1,800: The average customer lifetime value for SiteGPT is approximately $1,700 to $1,800, which Bhanu considers unusua…" 06:55 . Pat describes the LTV as 'really impressive,' and it's easy to see why — at that retention level, every new customer is worth nearly two years of subscription revenue. The conversation then sets up the obvious next question: how does he get all that traffic for free?
Approximately 90% of SiteGPT's Google search traffic comes from the free tools Bhanu built, not the main product pages.
50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–$1,800 LTV and you have a very healthy SaaS.
SiteGPT receives around 50,000 visitors per month, of which about 200 convert to leads and 60 start free trials.
The average customer lifetime value for SiteGPT is approximately $1,700 to $1,800, which Bhanu considers unusually high.
Chapter 5 · 07:35
Before getting into the marketing tactics, Pat asks Bhanu to rewind and share his origin story. The arc is a classic indie hacker trajectory: graduated, joined a large startup, felt out of place within 8 months [1] — Bhanu "SiteGPT reached $10K MRR in month 1: SiteGPT hit $10,000 MRR within its very first month of launch, driven largely by early traction in the…" 09:42 , quit, moved back to his parents' house to eliminate living costs, and started building. His first app, Feather, grew to around $5,000–$6,000 MRR. Then in early 2023, he noticed the explosion of AI tools on his Twitter feed and decided to spend a weekend building something with the technology — not to launch a product necessarily, but simply to learn. That experiment became SiteGPT. Within two weeks of having the idea, he launched; within one month, it hit $10,000 MRR[2]. The growth was so fast that he had no bandwidth left for Feather, so he sold it for $250,000 and went all-in on SiteGPT. It's a story about momentum, opportunity recognition, and the willingness to double down on what's working.
Bhanu quit his first job after just 8 months, moved back to his parents' house to cut costs, and started building. One product sold for $250K; the next hit $10K MRR in its first month.
SiteGPT launched and hit $10,000 MRR within its first month. That momentum was so overwhelming that Bhanu sold his existing SaaS, Feather, for $250,000 to free up all his time.
SiteGPT hit $10,000 MRR within its very first month of launch, driven largely by early traction in the AI chatbot space.
90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competition keyword and funnels users back to the paid product.
Chapter 6 · 10:40
This is the centrepiece of the episode. Bhanu explains that he built approximately 50 free tools — things like a PDF-to-Markdown converter and an AI chatbot name generator — each chosen specifically because the people likely to use it are also potential SiteGPT customers [1] — Bhanu "90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competi…" 10:35 . He gets around 50,000 clicks from Google per month, and roughly 90% of that traffic is driven by these tools rather than the main product landing pages [2] — Bhanu "60 to 70% of traffic is from Google, and in Google, like almost 90% of Google's traffic is from these free tools that we made." 04:40 . The key insight is alignment: every tool must be adjacent enough to SiteGPT's core offering that the user it attracts is a plausible paying customer. Bhanu then reveals the AI-era advantage: with Cursor, he can now build a new tool in under five minutes by pointing the AI at an existing tool template and specifying the target keyword. What was once a multi-day build is now a lunch-break task.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Chapter 8 · 13:30
After the playbook walkthrough, Pat asks about Bhanu's tech stack and monthly costs. Bhanu rattles off a 12-tool setup: Ahrefs for SEO and keyword research, SiteGPT itself for customer support on his own site, Cal.com for scheduling customer calls, Datafast and PostHog for analytics, Sibyl AI for call recordings, Bento for email marketing, his old product Feather for blog writing, Featurepace for feature requests and bug tracking, Mintlify for documentation, Cloud Code for AI-assisted coding, and ChartMogul for subscription revenue analytics. It's a deliberately lean stack — no bloat, all utility — and the fact that one person runs all of this while maintaining $13K MRR is itself a testament to how far AI tooling has shifted the solo-founder ceiling.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
Don't spend months perfecting before launch. Ship the core feature, get real users, and let their feedback dictate the product roadmap. Premature polish is a trap.
Chapter 9 · 13:50
This chapter captures Bhanu's most actionable contribution to the episode. Asked to give a step-by-step playbook for founders starting from scratch in 2026, Bhanu outlines seven steps. Step 1: open Ahrefs Keywords Explorer and search with a blank query to surface every possible keyword. Step 2: apply include filters using terms relevant to your product category (e.g. 'AI' + 'generator'). Step 3: filter by keyword difficulty below 10 — the threshold below which any decent website can realistically rank. Step 4: add a minimum monthly search volume of 1,000 to ensure the traffic is worthwhile. Step 5: export the surviving keywords into a Notion page with volume and difficulty columns. Step 6: design a CTA for each keyword that naturally bridges the free tool to the main product. Step 7: score every opportunity by volume, difficulty, build effort, and product relevance, then prioritise accordingly. The playbook is immediately executable by any founder with an Ahrefs account [1] — Bhanu "Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA…" 15:27 .
Marketing feels painful for most builders. Engineering as marketing flips the script: instead of writing cold emails or blog posts, you build things — and those things rank on Google forever.
Chapter 10 · 15:20
The episode closes with the perennial Starter Story question: what advice would you give your past self? Bhanu's answer is sharply pragmatic — stop over-engineering, launch the core feature as soon as possible, and let real users tell you what to build next [1] — Bhanu "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 u…" 13:48 . Pat riffs on the broader theme: if you hate marketing and struggle with it, the answer isn't to grind through cold emails and content calendars — it's to lean into the thing you're already good at, which is building, and find a marketing approach that flows from that skill. A co-host chimes in to highlight the AI angle: the fact that Bhanu can spin up a new SEO tool in five minutes changes the calculus entirely compared to just a few years ago. Pat closes with a pitch for the 4x4 bootcamp — four side-project tools in four weeks — and thanks Bhanu for the unusually transparent look inside a real, growing indie business.
Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA linking to your main product, then score by volume, difficulty, build effort, and product relevance. That's the whole playbook.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
No indexed bits in this chapter.
Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA linking to your main product, then score by volume, difficulty, build effort, and product relevance. That's the whole playbook.
90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competition keyword and funnels users back to the paid product.
50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–$1,800 LTV and you have a very healthy SaaS.
This episode
Factual claims made this episode, and whether a source was named.
SiteGPT has received more than 1 million website visitors since its launch in March 2023, all through organic channels.
60 to 70% of SiteGPT's traffic comes from Google, and approximately 90% of that Google traffic comes from the free tools Bhanu built.
SiteGPT generates approximately 50,000 monthly visitors, of which about 200 become leads, 60 start trials, and 25–40% of those convert to paying customers.
SiteGPT's average revenue per customer is approximately $100, with around 130 businesses as customers, resulting in $13,000 MRR.
SiteGPT's customer lifetime value is approximately $1,700 to $1,800.
Bhanu sold his first SaaS product, Feather, for $250,000.
SiteGPT reached $10,000 MRR within its first month of launch.
SiteGPT has generated approximately $500,000 in total revenue since launch.
Bhanu built approximately 50 free tools in total as part of his engineering-as-marketing strategy.
Using AI tools like Cursor, Bhanu can build a new free marketing tool in less than 5 minutes by pointing the AI at existing tools and specifying a new keyword.
Keywords with a difficulty score below 10 in Ahrefs can be ranked for by any decent website, making them viable targets for free tool pages.
Bhanu quit his first software engineering job after only 8 months because he felt it was not what he wanted to do for the rest of his life.
This episode
Primary source of organic traffic for SiteGPT, with 60-70% of all site visits coming from Google search results driven by free tools.
The media brand and community hosted by Pat Walls, the interviewer in this episode; also offers Build bootcamps for aspiring founders.
Bhanu's AI chatbot SaaS product, grown to $13K MRR through engineering-as-marketing, discussed as the central case study of the episode.
SEO tool used by Bhanu to research keywords for building free marketing tools; central to his 7-step playbook.
Bhanu's first SaaS product, a blogging tool, which he sold for $250,000 to focus on SiteGPT; also used as his blog writing tool.
AI-powered code editor that Bhanu uses to build new free tools in under 5 minutes by replicating existing tool templates.
Open-source scheduling tool used by Bhanu to manage customer calls for SiteGPT.
Subscription analytics tool used by Bhanu to track SiteGPT's MRR, LTV, and other revenue metrics.
Used by Bhanu in step 5 of his playbook to list and organize target keywords and their associated metrics.
Open-source product analytics platform used by Bhanu to track user behaviour on SiteGPT.
Bhanu's home country, noted as context for his background as an indie builder who built a globally successful SaaS.
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