Edge Hound vs Nimbalyst
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Edge Hound compared with Nimbalyst
| Detail | 
Edge Hound | 
Nimbalyst |
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| What it does | AI decision intelligence layer for capital markets that delivers explainable trade ideas and market research
| Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | BG
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free tier and paid subscription plans available. Free trial of 7 days offered for new subscribers.
| Free: Nimbalyst app and personal wiki. Wiki Teams: $20 per user per month or $200 per user per year (currently free during beta).
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| Key features | - Customizable widgets with iFrame or web component integration
- Programmable API layer for custom agents and workflows
- Audit trails and model governance for regulated markets
- Real-time market data integration including filings and earnings calls
- Multi-agent reasoning architecture
- Community Discord for self-directed investors
| - WYSIWYG markdown editor with AI-assisted editing
- Red/green inline diffs for AI changes approval
- Visual editors for mockups, diagrams, and drawings
- Parallel agent session management
- File and session linking
- Persistent searchable session history
- Pull request review in Developer Mode
- MCP server support
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| What makes it different | - Autonomous AI agents that research and evaluate trades instead of just providing data or chat
- Thesis-driven trade ideas with conviction levels, not generic signals
- Built for regulated markets from inception with compliance infrastructure
- Already in production with measurable impact on engagement and retention
- Measurable alpha with lower drawdowns compared to Buy & Hold
| - Agents write the wiki as they work, eliminating manual documentation
- Open source and local-first: your data stays on your machine
- Built by Evergage founders who scaled to $250M ARR
- One unified workspace instead of multiple disconnected tools
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 20 ▼ −1 (down) since last check | 45 ▼ −5 (down) since last check |
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| Trust Flow (Majestic) | 7 | 15 |
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| Citation Flow (Majestic) | 27 | 40 |
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| Referring domains (Majestic) | 133 | 709 |
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5 details filled in for both companies.
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