Toolspool.ai

Compare tools

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

Zigpoll AI
✓ verifiedPaid

Survey and feedback platform collecting zero-party data.

👁 123K/mo2.4K
👁 775K/mo

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

5.2K
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

👁 4.4M/mo2.0K
Pricing
Lite: Free
Basic: $5 /mo
Standard: $12 /mo
Plus: $25 /mo
Premium: $50 /mo

No public pricing

No public pricing

No public pricing

Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)

Free trial available

Core features
  • No-code survey setup
  • On-site, email, and SMS survey options
  • Integrated AI insights
  • Intuitive dashboard with charts and reporting
  • Advanced targeting rules and third-party integrations
  • Fully translatable surveys
  • AI-powered code autocompletion
  • Context-aware code referencing and chat
  • Natural language code editing
  • Customizable AI code assistants
  • 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)
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
Use cases
  • Collect zero-party data using post-purchase surveys
  • Run email capture campaigns
  • Create interactive polls and forms
  • Drive change in marketing spend and product line (Ecommerce)
  • Gather feedback for product while rewarding & engaging your users (SaaS)
  • Ask your audience what types of content they want to see (Blogs & Media)
  • Accelerate development with AI-powered autocompletion.
  • Improve code understanding with context-aware chat.
  • Refactor code using natural language instructions.
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
Visit
More in Developer Tools