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. Luster: AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Daisy when recording and transcribing meetings privately on a mac without cloud upload matters most, and Luster when identifying which reps are at risk of underperforming on upcoming deals 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 Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps.
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
Luster is a sales enablement platform that describes its approach as Predictive Enablement, combining AI-powered roleplay practice with analysis of real sales conversations. Reps rehearse high-stakes scenarios such as discovery calls and objection handling against AI buyer personas tuned to different sales stages, personas, and deal sizes, and receive feedback designed to surface where they are likely to struggle before those weaknesses show up in live deals. The platform pairs this practice environment with a live-call analysis capability the company calls EchoIQ, which reviews actual customer calls to detect how well reps apply the skills they have been practicing and where execution gaps remain. For managers and enablement leaders, Luster provides predictive insights into skill readiness, prescriptive guidance for onboarding and hiring, certification workflows, and AI-assisted coaching so that practice can be scaled across a go-to-market team. Luster is aimed at sales reps, frontline managers, and enablement teams who want to connect roleplay performance to real revenue outcomes rather than treating training as a one-off event. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Daisy is a free tier with paid upgrades (freemium); Luster is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Daisy | Luster |
|---|---|---|
| Core capability | Local recording of mic and system audio from any source via ScreenCaptureKit | AI roleplay environment for rehearsing discovery, objection handling, and other high-stakes scenarios |
| Standout feature | On-device transcription with WhisperKit and speaker diarization via Pyannote | Buyer personas configurable by sales stage, persona type, and deal size |
| Team usage | Structured AI notes with action items and follow-ups | EchoIQ live-call analysis that reviews real customer conversations for skill application |
| Integrations | Multiple summarization backends: Apple Intelligence, Anthropic, OpenAI, and MCP | Predictive insights that flag rep readiness risk and skill gaps |
| Languages & capture | Local MCP server so Claude Desktop, Cursor, and similar tools can read meetings | AI-assisted coaching tools for managers to scale feedback |
| Best-fit workflow | Exports to Notion, Linear, Attio, Slack, or custom webhooks | Certification and onboarding workflows for enablement teams |
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.
Luster
Choose Luster if you need letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls — strengths include connects practice performance with analysis of real live calls rather than roleplay alone.
Daisy
Luster
It depends on your workflow. Daisy is strong for recording and transcribing meetings privately on a mac without cloud upload, while Luster is strong for letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls. Both transcribe and summarize meetings.
Daisy is a free tier with paid upgrades and Luster is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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