Blck Alpaca vs Nimbalyst
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Blck Alpaca compared with Nimbalyst
| Detail | 
Blck Alpaca | 
Nimbalyst |
|---|
| What it does | AI readiness check for websites: measures how well AI agents can access, understand and navigate your site
| 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 | 2024
| Not given
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| Based in | AT
| Not given
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| Pricing model | Free
| Freemium
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| Pricing | Not given
| 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 | - 28 automated checks across access, understanding, discoverability, EU transparency and usability
- Static HTML analysis without JavaScript execution
- AI crawler identifier testing with GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google-Extended
- Rendered page analysis with JavaScript execution comparison
- Observed agent task execution with logging
- Five weighted scoring layers with consequence-based assessment
- Letter grade result from A to F based on rubric version 1.1.3
- Instant results with no registration required
- Checks for robots.txt, sitemap, llms.txt and trust pages
- Optional in-browser JavaScript rendering check
| - 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 | - Weighted scoring model that treats missing features as not applicable rather than failures, preventing unfair penalties
- EU-focused transparency and privacy layer addressing GDPR and consent requirements specific to European compliance
- Versioned rubric that allows results to remain comparable across time
- Real agent task execution logging showing exactly where AI agents get stuck on your site
| - 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) | 45 ▲ +1 (up) since last check | 50 ● no change since last check |
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| Trust Flow (Majestic) | 15 | 15 |
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| Citation Flow (Majestic) | 33 | 40 |
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| Referring domains (Majestic) | 268 | 709 |
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4 details filled in for both companies.
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