Show HN: Project2txt – Export your codebase to a single text file for LLMs (project2txt.com)

Project2txt is a new browser-based utility that converts an entire codebase into a single, LLM-friendly text file so you can paste project context into ChatGPT, Claude or other models without uploading your code to a server. It runs entirely in the browser (no servers/data collection), supports any IDE (VSCode, IntelliJ, Visual Studio) and language, and offers instant local export with configurable inclusion rules. Built-in smart filtering strips node_modules, .git, images and build artifacts, while options let you precisely select folders and file types so only relevant source files are included. For AI/ML practitioners, this simplifies feeding large projects into assistants for debugging, summarization, refactoring, or code-review prompts while preserving privacy and speed. The output preserves file paths and structure in a clean text format optimized for LLM consumption, making it easier for models to locate context within a monolithic input. Practical caveat: very large projects may still hit model context limits, so the tool’s selective filtering and folder-level control are important for reducing noise before sending to an LLM. Overall, Project2txt is a lightweight, privacy-first bridge between development workspaces and interactive language models.