Teen builds RapidRAW RAW editor

RapidRAW is one of those projects that reads like a portfolio flex at first glance and then gets more interesting when you look at the implementation. The core claim is straightforward: Timon Käch says he began building the app as a personal challenge when he was 18, aiming to make a fast RAW editor for his own photography workflow while learning React, WGSL and Rust, with support from Google Gemini. The project is now public, free and open source, with downloads for Windows, macOS and Linux. What makes it notable is not just that it edits RAW files. It is that the app is trying to combine three things that usually do not sit together in a small indie project: GPU-first image processing, modern desktop packaging, and AI-assisted editing features. Käch’s own materials describe it as a non-destructive editor in a package “under 20MB,” while the project site markets it as “just 20 MB.” ### Why are people paying attention to a RAW editor built by a teenager? (github.com) The GitHub repository gives the clearest reason: RapidRAW is not framed as a toy demo. Käch describes it as “a modern, high-performance alternative to Adobe Lightroom” and says it is already packaged for the three major desktop operating systems. The repository also shows active development, with thousands of commits and recent updates logged this week. (github.com) The project site adds a public timeline. It says the idea started on June 13, 2025, the first public release came on June 27, 2025, and an initial Reddit post followed on June 29, 2025. The same page says the project later reached the top spot on Hacker News on July 9, 2025. ### What is RapidRAW actually built with? Käch’s public documentation says the application uses a Rust backend and a React or React-TypeScript frontend, packaged with Tauri to keep the app lightweight. (github.com) That combination matters because it explains how the project gets a web-style interface without shipping a heavier Electron-style desktop bundle. The most technical detail is the rendering pipeline. Käch wrote on the Pixls.us forum that “the entire image processing pipeline is a custom WGSL shader that runs on the GPU,” with critical image processing handled in the Rust backend on the GPU before display. (getrapidraw.com) That is the part that turns the project from a design exercise into a graphics and systems project. ### Which features make it look more like a product than a demo? RapidRAW’s website lists AI subject, sky and foreground masking, batch operations, presets, and a non-destructive workflow that stores edits in sidecar files rather than altering the original image. The site also says users can do generative remove-or-replace edits with text prompts through an optional ComfyUI backend. The Pixls.us post fills in more of the editing model. (discuss.pixls.us) Käch says the AI masking tools use local models and can be combined with linear, radial and brush masks. He also says the app can connect to a local ComfyUI server so users can run their own Stable Diffusion models and workflows for generative edits. ### How much of the “AI app” label is really built in? (getrapidraw.com) The public materials suggest two separate AI layers. One is local and built into the editing workflow, including masking and tagging tools that the site says run entirely on the user’s computer. The other is optional generative editing through either a self-hosted ComfyUI setup or a cloud service described on the website. Käch’s GitHub README is also explicit about development assistance. (discuss.pixls.us) He says he built the project while deepening his understanding of React, WGSL and Rust “with the support from Google Gemini.” That wording supports the claim that Gemini helped in development, but it does not specify how much code or design work the model contributed. ### Why does this stand out as a developer portfolio piece? The repository and forum posts show a mix that hiring managers usually have to infer from several separate projects: UI work, desktop packaging, systems performance, GPU programming and applied AI integration. (getrapidraw.com) That is an inference from the project’s architecture and feature set, rather than a claim Käch makes directly. The next public checkpoints are easy to track. (github.com) RapidRAW’s GitHub repository shows ongoing commits, and the project website continues to list downloads, documentation and feature updates as the app remains in active development.