Atlas.
Atlas is built around one honest promise: connect the tools you already use, search across them through one interface, and stay explicit about connector coverage, permissions, and beta limitations.
Most teams already have the data they need, but it lives across too many systems. Atlas brings that sprawl into one terminal-like workspace for connected search, previews, and source-aware actions without pretending every connector works the same way.
- Atlas already exposes 16 live connectors and keeps roadmap connectors separate instead of blurring what works now versus later.
- The product is explicit about source-aware actions such as browse, search, preview, download, upload, and folder creation only where a connector truly supports them.
- The beta surface is honest about manual onboarding, public updates, and current limitations, which makes the product feel authored instead of overpromised.
- Invite-based beta onboarding, a public updates hub, and FAQ/status surfaces that clearly separate live functionality from roadmap items.
- Live connector coverage across Google Drive, Gmail, Google Photos, OneDrive, Dropbox, GitHub, Notion, Slack, Box, GitLab, Confluence, Microsoft Teams, Figma, Linear, Airtable, and AWS S3.
- Connected search, previews, browsing, and selected file actions driven by source-aware permissions and connector-specific capabilities.
- Lean beta runtime with Postgres search today plus a clearer production path toward OpenSearch, Redis/BullMQ, and object-storage-backed scale.
Atlas treats search, preview, and browsing as the primary interface across approved providers.
The product is designed to help users find and inspect connected data quickly before layering on heavier workflow or AI behavior.
Each connector advertises what is actually live, what actions are supported, and what limits still exist.
That keeps the product trustworthy for users and easier to extend as more providers and entity types come online.
The current runtime stays lean while the architecture is already framed for OpenSearch, Redis/BullMQ, and object storage.
That shows practical systems thinking instead of forcing expensive infrastructure into the product before the beta needs it.