Subquadratic vs Nimbalyst
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Subquadratic compared with Nimbalyst
| Detail | 
Subquadratic | 
Nimbalyst |
|---|
| What it does | Efficiency is Intelligence
| Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
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| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Paid
| Freemium
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| 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 | - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
| - 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 | - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
| - 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) | 53 ▲ +1 (up) since last check | 50 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 15 |
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| Citation Flow (Majestic) | 37 | 40 |
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| Referring domains (Majestic) | 654 | 709 |
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5 details filled in for both companies.
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