Findr

Aggregates search queries across fragmented workplace platforms (Slack, Gmail, Google Drive, Microsoft 365) through a single search interface by maintaining synchronized indexes of each platform's content. Implements a federated search architecture that queries multiple backend connectors in parallel and merges ranked results into a unified result set, eliminating the need for users to manually search each platform individually.

Maintains continuously synchronized full-text indexes of content from multiple SaaS platforms by establishing persistent API connections to each integrated platform and crawling/polling for new or modified content at regular intervals. Uses a distributed indexing backend (likely Elasticsearch or similar) to store normalized document representations with platform-specific metadata, enabling fast retrieval and ranking across heterogeneous content types (messages, emails, files, links).

Ranks and merges search results from multiple platforms into a single ordered list using an undisclosed relevance algorithm that likely considers factors like keyword match quality, content recency, and result source platform. Implements result deduplication to prevent the same document from appearing multiple times if indexed across platforms, and applies platform-specific result formatting to display snippets, metadata, and direct links consistently.

Provides a unified search bar and query interface that abstracts away platform-specific search syntax and UI patterns, allowing users to enter natural language or keyword queries without learning each platform's search operators. Implements query parsing to handle common search patterns (quoted phrases, boolean operators, date ranges) and translates them into platform-specific API calls or index queries appropriate for each backend.

Implements OAuth2 authentication flows for each supported platform (Slack, Google, Microsoft) to securely obtain user authorization and access tokens without storing plaintext credentials. Uses platform-specific OAuth2 endpoints and scopes to request minimal necessary permissions for indexing and searching content, and manages token refresh to maintain long-lived access without requiring users to re-authenticate.

Implements a freemium pricing model that provides basic search functionality across integrated platforms at no cost, with premium tiers offering advanced features (likely including higher search limits, advanced filtering, or priority indexing). Uses account-level feature flags and usage quotas to enforce tier restrictions, allowing teams to test value before committing to paid plans.

Optimizes search performance through distributed indexing, caching, and query optimization techniques to return results faster than native platform searches. Likely implements query result caching, index sharding across multiple servers, and optimized full-text search algorithms to minimize latency between query submission and result display.

Provides a clean, minimal user interface for search that prioritizes simplicity and ease-of-use over feature complexity. Implements a single search bar as the primary interaction point, with optional filters and advanced search options hidden behind secondary UI elements, reducing cognitive load and making the tool accessible to non-technical users.

Implements native integrations with four major workplace platforms (Slack, Gmail, Google Drive, Microsoft 365) through their respective APIs, enabling content indexing and search across these specific tools. Each integration handles platform-specific authentication, API pagination, rate limiting, and data normalization to fit a common indexing schema.