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Maker
📌
Hey Product Hunt! 👋
I’m a backend developer and student from India. I’ve been building a lot of AI agents lately, but I kept running into the same annoying problem: whenever I scraped a website to feed into my LLM (like GPT-4 or Claude), the data was full of "junk" like nav bars, ads, cookie banners, and messy HTML.
It wasted my tokens, cost me money, and confused my AI.
Existing scrapers were either too expensive or too slow. So, I decided to build my own solution using Rust 🦀 to make it blazingly fast.
Meet RAG Playground. It’s a simple tool (and API) that takes any URL and peels away the HTML "skin," giving you clean, formatted Markdown that is perfect for RAG.
What it does: ⚡️ Fast: Built in Rust (Axum) for millisecond latency. 🧹 Clean: Removes ads, scripts, and navbars automatically. 🤖 AI-Ready: Outputs pure Markdown that LLMs understand perfectly.
I built this to solve my own itch, but I’d love to hear what you think! The playground is free to try, paste a URL and see the difference yourself.
Note: This is an early MVP. It currently focuses on core extraction, but with your feedback, I plan to improve the parsing logic step-by-step.
Let me know if you have any feedback on the Rust backend or the extraction quality! 👇
