toolspool

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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
Cody
✓ verifiedPaid

Enterprise AI coding assistant that pulls context from an entire codebase to power chat, code edits and debugging.

👁 245K/mo
Link Shield
✓ verifiedFree trial

A developer URL-scanning API that returns 0-100 risk scores for phishing, malware and scam links, following redirects and short links.

👁 1.3K/mo
Lovable
✓ verifiedFreemium

AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.

👁 35M/mo69K
Pricing

No public pricing

Enterprise: starting at $16K (includes AI feature credits, scales with team size)
Hobby: $10/mo (10,000 scans/month)
Pro: $100/mo (100,000 scans/month)
Business: $1,000/mo (1,000,000 scans/month)

Free trial available

No public pricing

Core features
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Codebase-aware developer chat
  • AI code completions and inline edits
  • Customizable and shareable prompts
  • Automatic bug identification and debugging help
  • Context filters to exclude sensitive repos
  • Integrates with major code hosts and IDEs
  • AI-assisted URL scanning across phishing, malware, scam and other categories
  • 0-100 risk score returned with supporting reasons
  • Redirect-aware detection that unwraps short links and chains
  • Bulk URL scoring in a single request
  • Simple REST endpoints and usage-based billing
  • Chat-to-app and website generation
  • Real-time prototype building
  • One-click deploy and hosting
  • Templates to start projects
  • Credit-based building with shared workspaces
  • You own your code and data
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Engineers asking questions about an unfamiliar large codebase
  • Teams standardizing common coding tasks with shared prompts
  • Developers debugging errors faster with AI-assisted context
  • Enterprises running large-scale code migrations
  • Screen user-submitted links inside an app
  • Block phishing and malware before users click
  • Score large batches of URLs programmatically
  • Build web apps without coding
  • Prototype product ideas quickly
  • Create landing pages and sites
  • Ship internal tools
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