SiloSync
Description
SiloSync is a unified knowledge retrieval engine that connects fragmented company data across Slack, Jira, Notion, and Gmail using semantic search. It solves the friction of context switching by allowing employees to find information based on meaning rather than exact keywords, regardless of where the file lives. This boosts organizational productivity by reducing the time spent 'hunting' for documentation. It offers a secure, privacy-first way for teams to leverage their internal collective intelligence without migrating data to a new platform.
Why it is great
Context switching is a productivity killer; teams waste hours searching for 'that one link' across multiple apps.
Core Features / MVP
Unified Vector Search
A single search bar that queries indexed metadata across all connected SaaS tools.
Contextual Linker
Automatically suggests related Jira tickets or Slack threads when you open a Notion page.
Privacy-First Indexing
Local-first encryption that ensures sensitive company data is never stored on external servers.
Learning Outcome
OAuth & Integration Architecture
Mastering complex authentication flows for multiple third-party APIs.
Vector Database Management
Implementing tools like Pinecone or Weaviate for semantic retrieval.
NLP Metadata Extraction
Using LLMs to summarize and tag unstructured data automatically.
Real-time Webhooks
Building systems that sync data changes instantly across platforms.
Privacy Engineering
Designing 'Zero-Knowledge' architectures for enterprise data.