I would like to make an agent that creates mermaid diagrams for people based on their chats and documents that they can use to edit on the fly and collaborate with

MermaidMind 9000

ALREADY EXISTS, YOU'RE LATE
5/10
Congratulations, you just reinvented Mermaid's own AI editor, but with more existential dread.

An AI agent that parses conversations and documents, extracts relationships and processes, and auto-generates editable, collaborative Mermaid diagrams in real time.

The core loop — LLM extracts structure, outputs Mermaid syntax, renders in browser — is genuinely a solved problem. Eraser.io does this for engineering docs, Whimsical does it for brainstorming, and Mermaid.js has its own AI assistant. The collaboration angle is the only real differentiator, but even that is covered by tools like GitDiagram for GitHub repos. You're not wrong to want this, it's just that everyone else already wanted it first.

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Viability Analysis

Market Demand78
Tech Feasibility88
Competition82
Monetization55
AI Disruption Risk85
Fun Factor72

Pros & Cons

What's going for it

Mermaid syntax is LLM-friendly — Claude and GPT-4o generate valid Mermaid on the first try at ~85% accuracy, so the core AI feature is almost free.
Chat/document ingestion is a real unsolved niche — competitors focus on prompts, not parsing existing Slack threads or Confluence docs automatically.
Mermaid's 10M+ monthly users means you have a massive, pre-educated audience who already know what they want.
Real-time collaborative diagram editing (think Figma-style multiplayer on Mermaid) is genuinely underserved — nobody has nailed the live collab UX yet.

What's against it

Eraser.io raised $10M and has a full team doing almost exactly this for engineering teams — you're fighting a funded competitor on their home turf.
Mermaid syntax errors are brutal for non-technical users; your agent will hallucinate broken diagrams and users will blame you, not the LLM.
The free tier of Mermaid.live with AI is hard to undercut on price — your CAC could easily exceed LTV for SMB customers.
Document parsing (PDFs, Notion pages, Slack exports) is a deceptively hard ETL problem that will eat 60% of your engineering time.

Who You're Up Against

Open Source Alternatives

When Will Big AI Kill This?

Most Likely Killer

Atlassian

Timeline: 12-18 months

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How They'll Do It

Atlassian ships Mermaid AI generation natively into Confluence and Jira — where your target users already live — making your standalone tool irrelevant overnight. They already support Mermaid rendering in Confluence pages.

Your Survival Strategy

Go vertical and niche hard — build specifically for one workflow nobody owns, like auto-diagramming architecture decisions from GitHub PR comments or generating compliance flowcharts from legal documents. Generalist diagramming is a dead end.

Confidence

72%

If You're Crazy Enough to Build It

Solo Dev Time

3-4 weeks for MVP, 3 months to not be embarrassed by it

Team Size

1 frontend dev who loves Yjs, 1 backend dev who pretends to love document parsing

Estimated Cost

$800-$2,500/month in infra and API costs at early scale

Tech Stack

Next.jsClaude API (claude-3-5-sonnet for Mermaid generation)Yjs (real-time collaboration CRDT)mermaid.jsLlamaIndex (document ingestion)

Want to actually build this?

Work with me to ship it.

Survived the verdict? Good. Let's build the damn thing.

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