Observed Signal · Mar 24, 2026 · Product Launch · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
MeetingMind: Auto-extract Tasks from Meeting Transcripts
MeetingMind is an open-source tool that extracts action items, decisions, blockers, participants and sentiment from meeting transcripts or audio and writes structured pages to Notion via the Notion MCP server. The project supports local Whisper transcription (optional), uses Claude Haiku via OpenRouter for extraction (quoted cost ~ $0.001/meeting), and produces full JSON including assignees, due dates and priorities before pushing to Notion. The author built it to solve shift-handoff problems at a 236-person restaurant chain; the code is on GitHub under an MIT license. A prompt rule—extract only explicit factual information and mark missing fields null—reduced hallucinations by ~60% in production. The repo includes CLI examples for transcript, audio, and dry-run modes and instructions to run Notion MCP for authentication and API handling.
Practical open-source demo of LLM-based meeting extraction and Notion MCP integration; relevant to productivity/MarTech tooling but not major platform policy or industry-shifting.
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Key Takeaways & Evidence Grounding
- MeetingMind extracts tasks, decisions, blockers, participants and meeting sentiment from transcripts or audio and creates structured Notion pages.
- The tool can use local Whisper for audio transcription and calls Claude Haiku via OpenRouter for extraction (noted cost ~ $0.001/meeting).
- Integration to Notion is done through the Notion MCP server (@notionhq/notion-mcp-server) to handle auth and API/versioning.
- Repository: github.com/AlessandroTrimarco/meetingmind; code is MIT licensed and includes CLI examples for transcript, audio, and dry-run modes.
- A prompt pattern—extract only explicit factual information and set unspecified fields to null—reduced hallucinations by about 60% in production.
Connected Companies & Entities
2 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
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