refern.'s answer

I'm an artist, and too often I was frustrated: I couldn't find the right pictures, I struggled to organize and keep track of my reference images, and I was juggling too many apps when all I wanted to do was draw. I wanted one tool that could do it all, with every component well integrated. So I made refern.

RepDB's answer:

RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.

refern.'s answer

The flow of collecting references for art usually goes like this:

find references and inspiration online -> save and organize those images -> use them on their own or in a moodboard -> reuse them for the next project or share them with others

Normally that means a different app for each step. refern does all of it in one place, with every part built to work together.

RepDB's answer:

RepDB is sold as a one-time download, not a metered API — you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.

refern.'s answer

Most tools solve only one part of the reference workflow, so artists end up juggling several. refern combines them in one app: Eagle-style organization and search, a PureRef-style infinite canvas, and an Obsidian-style graph of how your references connect. It never copies your files, so it doesn't double your disk usage. It runs on Windows, macOS, and Linux, works fully offline, and is a $30 one-time purchase with no subscription. Built in Rust, it stays fast even on libraries with hundreds of thousands of images.

RepDB's answer:

Most alternatives are subscription APIs — you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.

refern.'s answer

Individual artists and creative professionals: illustrators, concept artists, digital painters, designers, and photographers. They collect and organize large libraries of visual references, build moodboards, and study from reference. refern is built for solo creators rather than teams, spanning hobbyists and students through working professionals.

RepDB's answer:

Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.

refern.'s answer

refern is a Tauri v2 desktop app with a Rust backend and a React 19 (with React Compiler) plus TypeScript frontend. Data is stored locally in SQLite (rusqlite) with FTS5 full-text search. The interface uses Tailwind CSS, Zustand, and TanStack Query, with motion/react for animation. The infinite canvas and graph view are built on react-three-fiber and three.js. Thumbnailing, perceptual hashing, and color and visual similarity run in Rust with rayon and SIMD.