Shadow 2.0

The work your meetings create, done before they end

YC ApplicationMeetingsProductivity

▲ 481 votes164 commentsLaunched May 6, 2026

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Every online call creates a to-do list. Shadow clears it live. It understands your conversation, tracks what needs to happen, and executes tasks in real time. PDF creation, slide generation, CRM updates, follow-ups, and scheduling before the call ends. Our goal is to have no post-call work. Just stay focused while Shadow handles everything in the background. Starting with core workflows and expanding to everything your calls create.

AI Analysis

📝 Summary

Shadow 2.0 is an AI-powered meeting assistant that joins online calls to understand conversations, track action items, and autonomously execute tasks in real time before the meeting ends. Core features include generating PDFs and slides, updating CRMs, sending follow-up emails, and scheduling—all without manual post-call effort. It solves the key pain point of tedious after-meeting administrative work that reduces productivity and focus. The unique selling point is its 'zero post-call work' approach, delivering seamless background automation so users stay engaged in discussions. Overall value proposition: transform meetings from task creators into completed workflows instantly.

📈 Market Timing

The timing is highly favorable for 2025-2026 as AI agent technology and real-time multimodal models are maturing rapidly, enabling accurate conversation-to-action capabilities. Remote/hybrid work continues to drive meeting overload, increasing demand for automation tools that reduce follow-up burdens. Economic pressure for productivity gains and advancing API integrations across SaaS tools further support adoption. Excellent Timing.

✅ Feasibility

Feasibility is Medium. Technical challenges include real-time speech understanding, accurate intent detection for diverse tasks, and maintaining reliable integrations with varied tools (CRM, docs, email). Development and operation costs are high for AI training and API management, with risks around compliance (data privacy in calls) and scalability. However, current LLM advancements and the product's focused start on core workflows improve viability for a skilled YC-backed team. Key reasons: strong tech tailwinds but complex execution layer.

🎯 Target Market

Main target segments: sales teams, product managers, executives, and knowledge workers in tech, SaaS, and consulting industries, primarily in the US and Europe. They frequently engage in online meetings generating follow-up tasks. Estimated market size: TAM for AI meeting productivity tools ~$10B+, SAM for real-time automation ~$3B, SOM for early YC-stage adoption ~$200M. Core pain points: hours lost weekly on manual CRM updates, document creation, and scheduling after calls. Potential willingness to pay is high (subscription pricing likely appealing) as it directly saves multiple hours per week per user.

⚔️ Competition

Medium. Direct competitors: 1. Fireflies.ai (fireflies.ai), 2. Otter.ai (otter.ai), 3. MeetGeek (meetgeek.ai), 4. Gong.io (gong.io), 5. Zoom AI Companion (zoom.com). Shadow's advantages: real-time task execution (vs. post-meeting transcription/summaries only) and focus on eliminating all follow-up work. Disadvantages: potentially higher technical risk for accuracy in live actions, less mature ecosystem compared to established players with broader transcription features and lower pricing entry points.

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