Mina - Meeting Assistant

Your AI Teammate now responds and executes during your calls

Artificial IntelligenceProductivityNo-Code

▲ 363 votes68 commentsLaunched Jun 1, 2026

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Mina is an AI meeting assistant that actively participates in meetings, responds in real time, pulls context from your tools, and helps move work forward while the conversation is still happening. Unlike traditional meeting tools, Mina can speak during calls, use skills, generate outputs, and support sales calls, interviews, standups, customer conversations, and team workflows before, during, and after meetings.

AI Analysis

📝 Summary

Mina is an AI meeting assistant that actively participates in calls by responding in real-time, speaking during meetings, pulling context from integrated tools, generating outputs, and executing tasks to advance workflows instantly. It supports sales calls, interviews, standups, customer conversations, and team meetings before, during, and after. Unlike passive transcription tools, its USP is acting as a proactive 'AI teammate' that moves work forward live. It solves key pain points like inefficient meetings, delayed action items, context loss, and manual follow-ups, delivering value through enhanced productivity and real-time collaboration.

📈 Market Timing

Favorable in 2025-2026 due to maturing real-time voice AI (e.g. advanced LLMs with low-latency audio), rising demand for AI agents in productivity suites post-hybrid work shift, and enterprise adoption of no-code automation. Economic focus on efficiency tools aligns well; tech infrastructure like reliable APIs supports it. Excellent Timing.

✅ Feasibility

Medium. Real-time voice participation and tool integrations present high technical complexity and latency challenges; AI inference costs for lengthy meetings can be high. Privacy/compliance risks (call recording, data access) are notable. Scalability is promising via cloud and no-code, but requires strong AI/team expertise for accuracy across diverse scenarios.

🎯 Target Market

Primary segments: Sales teams, recruiters, product managers, and knowledge workers in tech/SaaS/startups (ages 25-45). Industries focus on remote/hybrid teams using video tools. Geographic: mainly North America and Europe. Core pain points include unproductive meetings and follow-up delays. Strong willingness to pay for time-saving AI (subscription model implied). Market size not detailed in sources but aligns with growing multi-billion AI productivity sector.

⚔️ Competition

Medium. Direct competitors: 1. Fireflies.ai (fireflies.ai), 2. Otter.ai (otter.ai), 3. tl;dv (tldv.io), 4. MeetGeek (meetgeek.ai), 5. Gong (gong.io). Advantages: Unique real-time speaking/execution as an active teammate vs. mostly passive transcription/summaries; broader workflow support. Disadvantages: Potentially higher complexity in real-time accuracy; less established brand than incumbents; may face integration or pricing pressures.

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