SiteGPT Case Study: How Bhanu Teja Hit $10K MRR in 30 Days with Zero Marketing

SiteGPT case study examines how a solo bootstrapped founder turned a weekend learning project into $10,000 MRR in 30 days, then scaled past $300,000 total revenue with zero paid marketing.

What SiteGPT Is

SiteGPT is an AI customer support chatbot that trains on your website content to answer visitor questions instantly, supporting 95 languages and integrating with platforms like Zendesk, Crisp, and Intercom.

The Founder Story

Bhanu Teja is an Indian indie hacker who quit his software engineering job at Swiggy after eight months. He moved back to his parents’ house to eliminate expenses and started building products. Before SiteGPT, he built Feather, a Notion-to-blog platform that he grew to $6,000 MRR over 15 months, then sold for $250,000 at 3.5x ARR multiple.

Bhanu launched multiple failed products over three years before finding success. His Twitter bio documents the journey: “Previously built and exited Feather for $250K. Tweeting about SiteGPT’s journey from $10K MRR → $1M ARR.”

The Problem SiteGPT Solves

Every website has content buried in pages and documentation. Visitors have questions but hate digging through FAQs or waiting for support responses. Generic chatbots sound robotic and can’t answer specific product questions because they’re not trained on your actual content.

SiteGPT targets businesses with existing website content, documentation, or knowledge bases who want 24/7 automated customer support without hiring more support staff. Use cases include SaaS companies, e-commerce stores, educational platforms, and service businesses.

Product Snapshot

Based on the SiteGPT site, core features include:

• Train chatbot by entering URLs, uploading files, or pasting raw text
• Embed chatbot on unlimited sites (marketing site, app, help center)
• 95 language support
• Quick prompts for frequently asked questions
• Email summaries tracking chatbot performance and user behavior
• Escalate to human button for complex inquiries
• Lead capture functionality
• Integrations with Zendesk, Crisp, Intercom, Slack, Zapier
• Functions allowing task automation through chat interactions

Technical infrastructure runs on Prisma Postgres handling 10 million+ database operations daily, with 13+ LLM models in production managed through Portkey.

Pricing: $39/month Starter, $79/month Growth, $259/month Scale, custom Enterprise (40% discount with annual billing per pricing page).

Growth Signals

Bhanu documented the launch in detail:

• Built MVP in two weeks (April 2023)
• Posted on Hacker News Show HN, hit front page
• Launched on Product Hunt two days later, hit #1 Product of the Day
• Reached $10,000 MRR within first 30 days
• 50% churn after month one (hype buyers filtered out)
• Recovered to $5K, then scaled to $15.8K MRR by August 2025 per ARRfounder
• Hit $95K MRR in February 2024 (reported, approximately 11 months post-launch per Market Clarity)
• Generated $300,000+ total revenue as of mid-2024 per Nextfounder
• 50,000 monthly website visitors with 90% of Google traffic from free SEO tools

Reported current status: Solo founder, bootstrapped, no external funding, aiming for $1M ARR.

Monetization Model

SiteGPT operates on subscription SaaS model with four tiers. Revenue driven by monthly recurring subscriptions, with potential add-ons ($39/month each for additional features per pricing page).

No free trial currently offered, though some sources reference free tier for testing. Competitive positioning emphasizes cost savings versus alternatives like CustomGPT AI ($99/month entry) per blog comparison.

What’s Smart About the Strategy

Engineering as marketing: Bhanu built 50+ free tools that drive 90% of his Google traffic. No marketing budget, just useful calculators, converters, and utilities ranking for low-competition keywords with search volume over 1,000.

Launched on hype cycle: SiteGPT launched in April 2023 during peak ChatGPT hype. Every business wanted AI chatbots. Timing created instant demand.

Two-week MVP: Bhanu didn’t build for months. He shipped core functionality in 14 days, validated demand immediately, then iterated based on paying customer feedback.

Churn as filter: When half his customers churned after month one, he didn’t panic. He recognized hype buyers exiting and real businesses with real problems staying. That mental reframe prevented destructive pivots.

Target low-hanging SEO fruit: He uses Ahrefs to find keywords with difficulty under 10 and volume over 1,000. Build tools targeting those keywords. Rank fast, capture organic traffic forever.

Previous exit credibility: Selling Feather for $250K gave him financial runway and proven execution credibility when marketing SiteGPT.

Risks and Limitations

OpenAI dependence: Product relies on third-party LLM providers. If OpenAI changes pricing, API access, or model behavior, it directly impacts margins and product quality.

Intense competition: AI chatbot space is crowded with funded competitors like Intercom, Drift, and dozens of indie alternatives at lower price points.

High initial churn: 50% month-one churn indicates weak onboarding or poor product-market fit for certain customer segments. Even with recovery, this signals retention challenges.

Solo founder constraint: No co-founder means no complementary skills, no accountability partner, and burnout risk. Product development, customer support, and marketing all fall on one person.

Limited moat: Core functionality (train chatbot on website data) is easily replicable. Differentiation relies on execution, not proprietary technology.

Takeaways for Bloggers and Solopreneurs

Build free tools to own SEO traffic. Bhanu gets 50,000 monthly visitors from free calculators and utilities. Each tool targets keywords with difficulty under 10 and volume over 1,000. That’s repeatable for any niche.

Launch fast, survive the first churn wave. Two-week MVP validated demand immediately. 50% churn after month one filtered hype buyers from real customers. Don’t over-polish pre-launch.

Solve your own problem first. SiteGPT started as a chatbot for Bhanu’s 100 Feather customers. Building for people you already serve reduces guesswork about product-market fit.

Ride macro trends, but execute fast. ChatGPT hype created temporary demand spike. Bhanu shipped during the wave. If you wait for perfect timing, the wave passes without you.

Previous exits fund future experiments. The $250K Feather sale gave Bhanu financial runway to build SiteGPT without revenue pressure. Small exits compound into bigger opportunities.

For a broader breakdown of how online founders scale revenue across different business models, explore our complete income reports analysis featuring creators earning from $1K to six figures monthly.

While rapid growth is impressive, consistent income typically comes from following a structured monetization roadmap rather than relying on one-off launches.