Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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forms app
✓ verifiedPaid
Established online form/survey/quiz builder with automation; very high traffic.
👁 1.1M/mo♥ 4.2K
✕
Kiro AI
✓ verifiedFreemium
Kiro spec-driven AI IDE from prototype to production; notable AWS-backed dev product.
👁 3.8M/mo
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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
👁 4.4M/mo♥ 2.0K
Pricing
Forever Free: $0
Basic: $19
Professional: $49
Agency: $149
No public pricing
Basic: 15 USD /month
Pro: 25 USD /month
Premium: 59 USD /month
KIRO FREE: $0 /mo. per user
KIRO PRO: $19 /mo. per user
KIRO PRO+: $39 /mo. per user
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
- ✦TinyForms: Build smart forms with customized APIs, real-time logic, and dynamic APIs.
- ✦TinyWorkflows: Create no-code automations with a visual drag-and-drop builder, human-in-loop capabilities, and AI assistance.
- ✦TinyTables: Manage, analyze, and visualize data with live sync, built-in AI enrichment, and smart insights.
- ✦TinyEmails: Create and send personalized emails directly from workflows with AI-crafted messages and data-driven timing.
- ✦TinyAgents: Deploy specialized AI agents for research, qualification, or enrichment tasks, with prebuilt expertise and customizable logic.
- ✦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)
- ✦Form Builder
- ✦Survey Maker
- ✦Quiz Maker
- ✦Store Builder
- ✦AI Form Generator
- ✦500+ Integrations
- ✦Template Library
- ✦Data Analysis Tools
- ✦Workflow Automation
- ✦AI IDE for prototype to production
- ✦Spec-driven development
- ✦Agent hooks for task automation (e.g., generating documentation, unit tests, code optimization)
- ✦Multimodal chat
- ✦Model Context Protocol (MCP) integration for connecting to docs, databases, APIs
- ✦Autopilot mode for autonomous execution of large tasks
- ✦Configurable agent interaction via steering files
- ✦Support for state-of-the-art AI models (Claude Sonnet 3.7, Sonnet 4)
- ✦VS Code compatibility (Open VSX plugins, themes, settings)
- ✦Image input for UI design or architecture guidance
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
Use cases
- →Lead Management: Automate lead capture, enrichment, and CRM syncing to turn form fills into qualified prospects.
- →Sales Pipeline: Automate handoffs and streamline sales processes for efficiency.
- →Marketing Campaigns: Boost marketing campaign impact through automation.
- →Recruitment Flow: Automate hiring and onboarding by collecting applications, shortlisting with AI, and notifying teams.
- →Community Flow: Manage community onboarding, approvals, and communication on platforms like Telegram.
- →Campaign Flow: Streamline voucher availing journeys, rewards, and coupon redemptions with full automation.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Collecting customer feedback
- →Conducting market research
- →Creating online quizzes for education or entertainment
- →Selling products through online forms
- →Automating business processes
- →Building secure file sharing applications from scratch quickly.
- →Creating games without extensive manual coding.
- →Accelerating development from concept to working prototype in a short timeframe (e.g., a weekend).
- →Generating detailed user stories and capturing requirements like a product manager.
- →Automating routine development tasks such as documentation generation, unit testing, and code performance optimization.
- →Implementing complex features on larger codebases with fewer prompts and less repetition.
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
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