Daisy: Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server. Rafiki: AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Rafiki when scoring and coaching reps against a defined sales methodology matters most. Run both through a week of actual calls to see which suits your workflow.
Local-first, open-source macOS meeting recorder and AI notes app that transcribes on-device and exposes meetings to AI tools through a local MCP server.
AI sales intelligence platform that records, transcribes, and analyzes sales conversations to surface deal and coaching insights.
Daisy, from Addicted Studio, is a local-first meeting recorder and AI notes application for macOS that records meetings on the Mac, transcribes them on the device, and then exposes the captured conversations as a local MCP server for AI tools. It captures both microphone and system audio from any source, including Zoom, Google Meet, Telegram, and other apps, using ScreenCaptureKit, and performs on-device transcription with WhisperKit plus speaker identification via Pyannote diarization, so audio never leaves the Mac unless the user explicitly enables a cloud LLM provider. Beyond raw transcription, Daisy generates structured notes with action items and follow-ups and supports multiple summarization backends including Apple Intelligence, Anthropic, and OpenAI, as well as MCP. Because it runs a local MCP server, tools such as Claude Desktop and Cursor can read recorded meetings directly, and Daisy can export results to Notion, Linear, Attio, Slack, or arbitrary webhooks. It offers several capture modes covering meeting recording, voice dictation, and quick voice notes. Daisy is a native Mac application (not Electron) for Apple Silicon, is fully open source on GitHub under the Apache 2.0 license, and emphasizes privacy with no telemetry, tracking, or required account. The project maintains a product site at mydaisy.io with installation, FAQ, and support documentation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Rafiki is an AI-powered conversation and revenue intelligence platform built for SME and mid-market revenue teams. It captures sales conversations by joining calls across Zoom, Google Meet, and Microsoft Teams, and also handles phone calls, then automatically transcribes and analyzes the audio. From each recorded conversation, Rafiki generates meeting summaries, follow-up email drafts, and call scores aligned to popular sales methodologies such as MEDDIC and BANT. Beyond individual call notes, the platform rolls conversation signals up into deal- and pipeline-level views so managers can spot risks and coaching opportunities across the team. It integrates with CRMs including Salesforce, HubSpot, Zoho, and Pipedrive to sync notes and extracted fields, reducing manual data entry for reps. Rafiki also offers AI role play for rep training and a natural-language query tool ("Ask Rafiki") for interrogating call data. It is aimed at sales leaders, account executives, SDRs, customer success managers, and frontline managers who want conversation intelligence and coaching at a lower price point than large enterprise suites. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Rafiki is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Rafiki |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Records and transcribes calls across Zoom, Google Meet, Teams, and phone |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | AI-generated meeting summaries and follow-up email drafts |
| Team usage | Structured AI notes with action items and follow-ups | Call scoring against MEDDIC and BANT frameworks |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Deal and pipeline-level conversation analysis |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | CRM integrations with Salesforce, HubSpot, Zoho, and Pipedrive |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | AI role play for rep training and a natural-language 'Ask Rafiki' query tool |
Daisy
Choose Daisy if you need recording and transcribing meetings privately on a mac without cloud upload — strengths include fully local-first with audio kept on-device unless a cloud llm is explicitly enabled.
Rafiki
Choose Rafiki if you need automatically capturing notes and action items from sales calls — strengths include combines note-taking, coaching, and revenue intelligence in one platform.
Daisy
Rafiki
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Rafiki is strong for automatically capturing notes and action items from sales calls. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Rafiki is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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