toolspool

Compare tools

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
Sherpa Coder
✓ verifiedFree

VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.

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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo
Angular.dev
✓ verifiedFree

Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.

👁 1.1M/mo
OpenTrain AI
✓ verifiedFreemium

Talent marketplace linking AI labs with 257,000+ vetted data labelers and trainers for RLHF, red-teaming and evaluation.

👁 574K/mo
Pricing

No public pricing

No public pricing

No public pricing

No public pricing

Self-Service: 10% marketplace fee + $9.95 contract initiation fee
Managed Service: 20% management fee
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)
  • in-editor chat with OpenAI assistants
  • workspace source-code context sharing
  • support for custom, user-defined assistants
  • secure management of the user's OpenAI account
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Signals-based fine-grained reactivity
  • Built-in control flow and deferrable views
  • Server-side rendering and hydration
  • First-party routing, forms and dependency injection
  • AI-forward tooling and MCP resources
  • In-browser tutorials and playground
  • Network of 257,000+ pre-vetted AI data experts
  • AI-matched shortlists with skills tests and interviews
  • Bring talent into any annotation platform, no lock-in
  • Self-service or fully managed engagements
  • Job feed aggregating 20+ platforms for freelancers
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • getting coding help without switching out of VS Code
  • using a personalized OpenAI assistant tuned to a project
  • quick in-editor Q&A while writing code
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Building scalable single-page apps
  • Enterprise web application development
  • Performance-critical front ends
  • Learning modern web development
  • Sourcing experts for RLHF and model evaluation
  • Staffing red-teaming and data-labeling projects
  • Scaling annotation teams into existing tools
  • Finding AI training gigs as a freelancer
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