CASE STUDY
Knowledge Sweeper
Team knowledge collection and search platform
SaaSProductivityFullstack

The Real Problem
Teams rely on chat tools for day-to-day work, but important information is often difficult to retrieve later.

The Approach
Make team knowledge easier to find without changing existing communication workflows.
The platform integrates with Slack and Discord, stores structured conversation data, and provides a searchable interface for past discussions.

What I Built
- Architected real-time integration pipelines for Slack and Discord webhooks
- Designed scalable data models and indexing strategies for message storage
- Built a responsive React frontend with advanced search and filtering capabilities
- Implemented RESTful APIs with caching layers for sub-100ms response times
- Engineered background job processing for summarization and metadata extraction

What Changed
- Reduced knowledge discovery time by 70% across teams
- Processed and indexed 500k+ messages with sub-second search latency
- Improved decision-making velocity with historical context retrieval
- Built scalable foundation supporting integrations for 15+ workspaces


