What is display-name-effect?

This repository provides code and documentation for Discord bots that want to apply visual styling to user display names, using experimental features in Discord's profile API. The effects include custom fonts, glow and neon visuals, gradient coloring, and other decorative treatments that Discord has made available through its API but does not surface through normal bot libraries. The workspace is organized around three programming languages: TypeScript, JavaScript, and Python. Each language folder contains a working implementation, a setup guide, and a set of supporting reference files covering fonts, visual effects, color codes, API endpoints, experimental feature flags, and library compatibility notes. A companion repository in Go exists separately. All three language versions implement the same three-layer design: a transport layer that handles authenticated API requests and rate limiting, a business logic layer that resolves which style configurations to apply, and a startup hook that runs when the bot connects to Discord without blocking any of the bot's other features. The documentation is detailed. The fonts reference lists 12 named fonts including Bangers, Pixelify Sans, and GG Sans. The effects reference covers six visual styles. The colors reference translates hex color codes into the decimal format Discord's API requires. The endpoints reference documents the exact request payloads for the relevant Discord REST API routes. Each language folder has its own version of all these files. The project describes the capabilities it documents as experimental, meaning they rely on Discord API behavior that is not officially supported for third-party bots and could change. The startup discovery system is designed to detect what is currently available rather than assuming a fixed set of features will work. The README is a navigation document pointing to the per-language folders, the actual implementation details live inside those subfolders. There is a Discord community server linked for questions and collaboration.