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 saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Pixels2Flutter logo
Pixels2Flutter
✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K saves
Supermaven logo
Supermaven
✓ verifiedFreemium

Fast AI code-completion tool with a 1M-token context window, offering free and paid tiers for individuals and teams.

Jules by Google logo
Jules by Google
✓ verifiedFreemium

Google's asynchronous AI coding agent that autonomously fixes bugs and builds features in GitHub repos, powered by Gemini.

Pricing

No public pricing

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

No public pricing

Free Tier: $0/mo
Pro: $10/mo (1M token context, 30-day free trial)
Team: $10/mo per user (unlimited users, centralized billing)

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)
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
  • Low-latency AI code completions
  • 1 million token context window for large codebases
  • IDE support for VS Code, JetBrains, and Neovim
  • Built-in chat with multiple model options
  • One-click diff/apply for AI-suggested changes
  • Automatic error-fixing using compiler diagnostics
  • Autonomous coding agent
  • GitHub repository integration
  • Runs in a cloud VM
  • Multi-step task planning
  • Opens pull requests with changes
  • Powered by Gemini
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • Solo developers wanting a fast, free code-completion tool
  • Professional developers working in large codebases needing more context
  • Engineering teams standardizing on one AI coding assistant with central billing
  • Fixing bugs asynchronously
  • Adding features to a codebase
  • Writing and updating tests
  • Automating routine development tasks
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