Scattered Conversation Summarizer
Unifies fragmented conversations from multiple apps into concise, context-aware summaries and searchable memory.
The problem
People increasingly lose context across scattered conversations and want a way to retrieve key points without copy-pasting across tools.
Proposed solution
A cross-app summarization layer that ingests imported threads, detects themes, summarizes decisions, and lets users search by topic, project, or person.
Target audience
Founders, operators, managers, and teams with conversations spread across Slack, email, chat, and notes
Key features
- Thread import/connectors
- AI summaries by topic
- Search across conversation history
- Decision/action-item extraction
- Project timelines
- Tagged highlights
Monetization strategy
Per-seat SaaS pricing for teams, with higher tiers for more connectors and retention history.
Skills to build it
- API integrations
- LLM summarization
- Search/indexing
- Permission and privacy handling
- Team collaboration UX
An idea is a starting point for research. Validate customer demand before building.