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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.
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Yay! Forms
✓ verifiedPaid
AI form builder for surveys and quizzes with automated insights; high traffic.
102K visits/mo956 saves
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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
775K visits/mo
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Jules by Google
✓ verifiedFreemium
Google's asynchronous AI coding agent that autonomously fixes bugs and builds features in GitHub repos, powered by Gemini.
Pricing
Starter: $9/month billed yearly or $19/month
Plus: $29/month billed yearly or $39/month
Professional: $59/month billed yearly or $79/month
No public pricing
No public pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
No public pricing
Core features
- ✦AI-powered insights
- ✦Form creation in 30 seconds
- ✦Customizable branding
- ✦Logic branches
- ✦Integration with various tools
- ✦Drop-off rate tracking
- ✦Emotion and sentiment analysis
- ✦Keyword extraction and text classification
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
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- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
- ✦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
- →Lead capture for marketing teams
- →User feedback collection for product teams
- →Customer retention for customer success teams
- →HR process organization for HR teams
- →Research data analysis for research teams
- →Branding customization for agencies
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
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- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
- →Fixing bugs asynchronously
- →Adding features to a codebase
- →Writing and updating tests
- →Automating routine development tasks
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