wtf is fireplexity?

Fireplexity is an AI-powered search engine that answers your questions using real-time web data. Instead of giving you a static answer from training data, it searches the live web, writes a response, and cites its sources so you can verify the information yourself. When you ask a question, it uses a service called Firecrawl to scrape and search current web content, then passes that information to OpenAI's GPT-4o-mini model to generate a streaming answer. Each claim in the response is backed by a citation pointing to where the information came from. If your question involves stocks, it automatically displays a live TradingView chart alongside the answer. It also suggests follow-up questions to help you dig deeper into the topic. This project would be useful for someone who wants to build their own AI search interface, similar to Perplexity, without starting from scratch. For example, a founder could deploy it as a starting point for a research tool, or a developer could use it as a reference for how to combine web scraping, AI responses, and source citations in a Next.js application. It is designed to be easy to deploy, with a one-click option to host it on Vercel. One notable aspect of the project is its simplicity. It uses GPT-4o-mini, which is OpenAI's smaller, faster, and cheaper model, rather than the more powerful GPT-4o. This suggests the project prioritizes speed and low cost over maximum answer complexity. The README does not go into detail about limitations, customization options, or how citation matching works under the hood, so there may be more to explore in the code itself. The project is open source under the MIT license, meaning you are free to use and modify it.