About Lagoon
Lagoon is an art discovery platform for finding artists, styles, tags, colors, and trends across multiple platforms. Search in plain English, browse random discoveries, build a taste profile, or follow relationships between tags.
The index currently covers 564,924 works from 102,853 artist handles. Each result is connected to tags, platform metadata, artist handles, descriptions, and similarity signals that power the discovery tools.
New posts are ingested continuously as they are published on tracked platforms. Deleted source posts are flagged but their metadata remains available.
What you can do
- Explore by describing what you want in plain English
- Build a Taste Profile from artwork you like and discover matching artists
- Follow trends as tags and topics rise across recent posts
- Browse randomly when you want something unexpected
- Move through tag relationships with the co-occurrence graph
For builders
The same index is available as a paid API for developers who need structured art metadata without maintaining their own scrapers, parsers, or tag databases. Typical integrations include:
- Discord and Telegram bots that search art by natural language commands
- Gallery and portfolio apps that aggregate an artist's work across platforms
- Recommendation engines that use semantic similarity and tag co-occurrence to surface related content
- Content moderation pipelines that need per-post rating classifications and tag data
- Research and analytics tools that analyze trends, tag relationships, and artist style clusters across the illustration ecosystem
What you get
Art metadata is scattered across platforms, each with its own tag format, handle conventions, and search behavior. Lagoon normalizes that into one discovery layer. Query an artist handle and find linked accounts. Search in plain English and Lagoon extracts platform, date, tags, and sort order. Use similarity to find visually related posts or artists with nearby styles.
The public discovery tools are free to use. Builders can use the API reference and integration guides when they want to build on the index directly.
Contact
For questions, bug reports, or enterprise inquiries: [email protected]