Ai Rag Boilerplate Engine

A production-grade AI boilerplate that allows users to chat with PDF documents and live websites. It uses Retrieval Augmented Generation (RAG) to provide accurate, cited answers.

The project was created to solve a specific problem in the developer community: most open-source RAG tutorials are broken. They cannot scrape modern single-page applications (React/Framer sites) and often "leak" data between different users.

After receiving community feedback, the developer spent over 100 hours engineering a custom solution that bypasses Vercel’s serverless limits using a Headless Browser architecture. This is not just a tutorial codebase; it is a robust engine capable of handling complex ingestion pipelines and secure multi-user sessions.

Key highlights:

Launch Date: Late November 2025 (New Project) Total Revenue: $18 (Generated immediately upon soft launch via Gumroad) Business Margin: ~90-95% (Extremely low running costs via Free Tier stack) Tech Value: Solves the difficult "Puppeteer on Serverless" scraping problem. Market: The "AI Starter Kit" market is booming, with competitors generating $5k-$20k/month. Maintenance: Near zero. The code relies on stable APIs (OpenAI, Pinecone).

Tech Stack

The project was built by a solo Full-Stack Developer - from architecture, to the Next.js 16 frontend, to the custom ingestion pipeline and vector database integration.

• Frontend: Next.js 16, Tailwind CSS, Framer Motion (for the Bento Grid UI).
• AI & Logic: LangChain.js, OpenAI API (GPT-4o/3.5-turbo).
• Database: Pinecone Serverless (Vector Store) with Namespace Isolation.
• Scraping Engine: Puppeteer-Core connected to Browserless.io (Remote Browser) for rendering React/SPA sites.
• Deployment: Vercel (Frontend/API).
• Marketing and growth

Additional Info

The project was soft-launched in late November 2025. I posted a single technical breakdown on Reddit (r/SideProject), which validated the demand and drove the initial $18 in sales immediately. The "story" of fixing the scraping engine received positive technical feedback, indicating that developers are actively seeking a solution that handles edge cases such as context bleeding and client-side rendering.

Revenue and profit

Status: Pre-Revenue Asset. Potential Model: This asset is designed to be monetised either as a Micro-SaaS (charging users $10/mo to chat with docs) or as a Digital Product (selling the source code for $49-$199 per license). Costs: Currently runs on $0/month using the free tiers of Vercel, Pinecone, and Browserless.io. Return on investment

Opportunities

• Sell the Code: If listed on Gumroad/LemonSqueezy for $49, you only need ~30-40 sales to recoup the purchase price.
• White-Label Agency Tool: Use this engine to build custom AI chatbots for clients. One client contract ($2k-$5k) covers the entire investment.
• Launch a Niche SaaS: Restrict the ingestion to a specific niche (e.g., "Chat with Legal Contracts") and charge subscriptions.

Startup assets

Codebase: Private GitHub Repository with full history. Documentation: Comprehensive README covering setup, env variables, and deployment. Marketing Assets: High-converting Landing Page (Bento Grid style) with Scroll-Spy navigation. Legal Assets: Pre-written Privacy Policy, Terms of Service, and Changelog pages. Ingestion Engine: The custom configuration for Puppeteer/Browserless.

Risks

API Dependency: The app relies on OpenAI and Pinecone. Major pricing changes to these platforms could affect margins (though easily swappable via LangChain). Maintenance: As with all code, packages (Next.js/LangChain) will eventually need version updates.

Summary

Why buyers should buy your project: You are buying 100+ hours of senior engineering time packaged into a clean, modern repository.

Building a RAG app that actually works in production (without leaking data or failing on React websites) is surprisingly difficult. I have solved the edge cases—Context Isolation, Headless Scraping on Serverless, and Mobile Responsiveness.

Whether you want to launch a SaaS next week, start selling a boilerplate, or need a powerful engine for your agency, this acquisition gives you a "Skip to the End" button for development.