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. Terret: AI revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching. 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 Terret when generating coaching playbooks from patterns in top-performer conversations matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
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 revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching.
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
Terret is an AI-powered revenue intelligence platform for B2B sales, account management, and customer success teams, and was formerly known as BoostUp before rebranding in September 2025. Its conversation-intelligence product records and analyzes sales calls, identifying patterns across thousands of conversations to surface what top performers do differently and to feed deal and forecasting models. Terret natively combines that conversation data with its forecasting engine, using call insights and sentiment to predict deal outcomes and project revenue attainment at both the deal and aggregate level. The platform automatically analyzes calls, populates sales-methodology fields, and generates follow-up actions, reducing manual CRM work. Additional capabilities include automatically generated sales playbooks based on winning behaviors, AI-generated real-time call briefs delivered via Slack ahead of meetings, deal-risk detection with intervention recommendations, and analysis that surfaces product gaps from lost deals and expansion signals in existing accounts. Terret integrates with Salesforce for auto-syncing and with Slack for real-time briefs. It is aimed primarily at CROs, RevOps leaders, and revenue teams at mid-market and enterprise B2B organizations that want conversation intelligence tied directly to forecasting and pipeline execution. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Terret is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Terret |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | Conversation intelligence that records and analyzes sales calls at scale |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Native integration of call insights with AI forecasting and deal scoring |
| Team usage | Structured AI notes with action items and follow-ups | Automatic CRM field population and follow-up action generation |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | AI-generated sales playbooks based on top-performer behavior |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | Real-time pre-call briefs delivered via Slack |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Deal-risk detection, product-gap analysis, and expansion-signal surfacing |
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.
Terret
Choose Terret if you need analyzing recorded sales calls to inform forecasting and deal-health scoring — strengths include conversation intelligence is tightly coupled to forecasting and pipeline analytics.
Daisy
Terret
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Terret is strong for analyzing recorded sales calls to inform forecasting and deal-health scoring. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Terret is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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