In early 2023, while most developers were still playing with ChatGPT prompts, a 24-year-old software engineer from a small town in Andhra Pradesh, India, built something different.
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He didn’t raise VC.
He didn’t hire a team.
He didn’t even quit his day job at first.
Bhanu Teja P spent a single weekend coding a prototype. He launched it as a paid-only product with zero marketing budget. Within 30 days, SiteGPT.ai hit $10,000 MRR. Fast-forward to 2026: the bootstrapped AI customer-support chatbot platform has generated over $500,000 in lifetime revenue, reached $15.8K MRR (nearly doubling in 2025), and in March 2026 alone pulled in $58.3K combined with his other AI tools. All while running with just one co-founder—his brother.
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This isn’t another hype story. It’s a repeatable playbook for any solo founder who wants to build a real AI business in their spare time. Here’s exactly how Bhanu did it—step by step, with the exact tactics, tools, and mindset that turned a weekend experiment into a million-dollar empire.
From Corporate Job to Indie Maker: The Decision That Changed Everything
Bhanu Teja P grew up in Kandukur, a small town in Andhra Pradesh. After studying at the International Institute of Information Technology (IIIT), he landed a software engineering role—reportedly at a major Indian startup like Swiggy. The pay was solid (around ₹18 lakhs per year at one point), but after just eight months he realized: “This is not what I wanted to do for the rest of my life.”
He quit. Moved back in with his parents to slash expenses to $500–700 per month. He freelanced briefly to build a runway, then went all-in on indie products. His first solo venture was MDX.one (later rebranded Feather), a tool that turns Notion pages into beautiful published blogs. He bootstrapped it to $6K MRR before selling it in a clean micro-acquisition for $250K—a 3.5x ARR exit with zero funding.
That exit gave him confidence and capital. But more importantly, it taught him the golden rule he still lives by: “Build what you personally need.”
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The Weekend Spark That Created SiteGPT
In January–February 2023, Bhanu’s Twitter feed was flooded with AI hype. He already ran Feather and noticed his 100+ blog-owner customers kept asking the same support questions. “What if I could give them a chatbot trained exactly on their own site content?”
He built the first version over one weekend and a couple of nights. No complex RAG pipelines at first—just OpenAI’s API + Pinecone for vector storage + Cloudflare Workers for cheap, scalable hosting. The MVP was dead simple:
- User pastes their website URL (or uploads files).
- SiteGPT scrapes and chunks the content.
- It creates an instantly trainable AI chatbot embed.
He launched it as a completely separate product from Feather, with a paid-only model from day one—no free plan, no trial. Why? He’d learned from Feather that free users taught him nothing and burned cash on hosting.
The tweet announcing it went semi-viral in AI circles. Product Hunt crowned it #1 of the day. Hacker News picked it up. Within 2–3 days he had $750–780 MRR. By the end of the first month: $10K MRR.
Exact Step-by-Step Build Process (You Can Copy This Today)
Here’s the precise playbook Bhanu followed—no fluff, no $100K engineering team:
Week 1 (Weekend MVP)
- Core stack: OpenAI API (for chat), Pinecone (vector DB), Cloudflare Workers (hosting).
- Scraping + chunking logic kept ultra-simple.
- Landing page: Minimalist (freelance designer from Feather helped).
- Pricing: Paid-only tiers starting low to test demand.
Weeks 2–3 (Polish & Launch)
- Added auto-sync for website changes.
- Embed code for any site.
- Basic dashboard for training data + chat history.
- Total build time before launch: ~2 weeks part-time.
Post-Launch Iteration (Months 1–3)
- Switched hosting aggressively to keep costs under $4–5K/month even at scale.
- Used user chat logs as the best feedback loop (no fancy surveys needed).
- Expanded data sources: CSV, TXT, PDF, DOCX, PPTX, MD, raw text.
By month 4–5, real enterprise customers started signing up—teams that actually needed reliable 24/7 AI support.
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The “Engineering as Marketing” Flywheel That Drove 1M+ Visitors for $0
Bhanu hates traditional marketing. Instead, he turned coding into his entire growth engine.
He built 50+ free AI tools targeting low-competition keywords (KD < 10, volume > 1,000 via Ahrefs). Examples:
- PDF to Markdown converter
- AI Chatbot Name Generator
- Sitemap Validator
- FAQ Generator
Each tool takes him under 5 minutes now using Cursor (AI coding assistant) + templates. Every tool has a subtle CTA back to SiteGPT.
Results (as of early 2026):
- 50,000 monthly visitors
- 1M+ lifetime visitors
- 90% of Google traffic comes from these free tools
- Zero dollars spent on ads
This created a self-reinforcing loop: free tools → organic rankings → leads → paid customers → more data to improve the product → better tools.
Revenue Timeline: From $0 to $500K+ Lifetime (Real Numbers)
| Milestone | Timeframe | Revenue | Key Trigger |
|---|---|---|---|
| First 2–3 days | Launch week | $750–780 MRR | Twitter + AI hype |
| End of Month 1 | 30 days | $10K MRR | PH #1 + HN |
| Month 6 | Mid-2023 | $15K MRR | Real business customers |
| End of 2024 | 1 year | $251K total revenue | Free tools flywheel |
| End of 2025 | 2+ years | $15.8K MRR (doubled) | Steady enterprise growth |
| March 2026 | Single month | $58.3K (combined) | SiteGPT + new AI tools |
| Lifetime (early 2026) | Ongoing | $500K+ | Bootstrapped scale |
He runs it with just his brother Sai Dheeraj as co-founder. The two of them handle sales, support, demos, and product—proving you don’t need a 10-person team to hit serious revenue.
7 Lessons Every Solo AI Founder Must Steal
- Launch paid-only from day one. Free users waste your time and money.
- Solve your own problem first. Bhanu built SiteGPT because he needed better support for Feather customers.
- Use AI to 10x your output. Cursor let him ship new free tools in minutes.
- Obsess over infrastructure costs early. Cloudflare + smart architecture kept margins healthy even at scale.
- Let churn teach you. Early 50% churn from curiosity users? Normal. Focus on the customers who stay.
- Engineering is marketing. 50+ free tools beat any ad spend.
- Build in public—but quietly. Consistent LinkedIn/X updates + real revenue screenshots create trust without hype.
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Why This Story Matters in 2026
AI is no longer just for Big Tech. Tools like OpenAI APIs, vector DBs, and cheap hosting have lowered the barrier so much that one determined 24-year-old (now running a multi-hundred-thousand-dollar business) can compete with funded startups.
Bhanu Teja P’s journey proves: you don’t need a fancy degree from Stanford, a co-working space in San Francisco, or $2M in seed money. You need a laptop, a real problem you care about, and the willingness to ship fast and iterate in public.
Ready to build your own million-dollar AI side project?
Start this weekend. Pick one problem your current users complain about. Ship the tiniest paid version. Then let the engineering-as-marketing flywheel do the rest.
SiteGPT is living proof it works.
What will your weekend project become?
— Written for AI Discoveries | April 2026
Follow Bhanu on X @pbteja1998 and try SiteGPT at sitegpt.ai.
FAQ
How old was Bhanu when he launched SiteGPT?
He was 24 in early 2023 when the idea struck and the product launched.
Did he have any co-founders at launch?
Completely solo for the first 4 months. His brother joined full-time once it scaled.
What tech did he use?
OpenAI, Pinecone, Cloudflare Workers—kept deliberately simple and cheap.
Can I really copy this in 2026?
Yes. The stack is even more powerful and affordable now. The only irreplaceable ingredient is the willingness to ship without waiting for permission.
Start building. The AI gold rush is still wide open for solo founders.
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