Luster and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Luster: AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Luster when letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls matters most, and joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI Predictive Enablement platform that pairs realistic sales roleplay with live-call analysis to find and close rep skill gaps.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
Luster is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Luster | joinly |
|---|---|---|
| Core capability | AI roleplay environment for rehearsing discovery, objection handling, and other high-stakes scenarios | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Buyer personas configurable by sales stage, persona type, and deal size | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | EchoIQ live-call analysis that reviews real customer conversations for skill application | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Predictive insights that flag rep readiness risk and skill gaps | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | AI-assisted coaching tools for managers to scale feedback | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Certification and onboarding workflows for enablement teams | Docker-based self-hosting with optional CUDA GPU image |
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.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Luster
joinly
It depends on your workflow. Luster is strong for letting sdrs and aes rehearse cold calls and discovery conversations with ai buyers before live calls, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Luster is a free tier with paid upgrades and joinly 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 and the budget is justified.