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Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month
Starter: $49
Business: $99
Pro: $149
Enterprise: POA
Free: 0
Pro: 20
No public pricing
Free trial available
Core features
- ✦Integration with Notion databases
- ✦Unlimited fields and submissions
- ✦Customizable form styling
- ✦Conditional logic and validation rules
- ✦Ready-made form templates
- ✦File uploads
- ✦Multi-page forms
- ✦Email, Slack, and Discord notifications
- ✦Submission editing
- ✦Form protection (password, captcha)
- ✦Interactive quizzes and scorecards
- ✦Personalized results and recommendations
- ✦Data-driven assessments
- ✦Seamless CRM and marketing tool integrations
- ✦Customizable templates and branding
- ✦Built-in analytics and reporting
- ✦Agent that can execute cells, running commands, fix bug for you.
- ✦AI Code completion, copilot for Jupyter
- ✦Agent that automate planning and coding in notebook
- ✦Understand code, data, charts in notebooks
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
Use cases
- →Guest blog submission forms
- →Event attendee check-in forms
- →Customer satisfaction surveys
- →Patient intake forms
- →Photography quotation requests
- →Equipment rental requests
- →Photo shoot permit requests
- →Attracting leads with irresistible quizzes
- →Converting leads into clients with personalized insights
- →Qualifying leads with data-driven assessments
- →Delivering value to existing clients with real-time feedback
- →Building waitlists with custom landing pages and questions
- →Boosting webinar attendance with optimized funnels
- →Driving sign-ups for video courses with high-converting landing pages
- →Collecting valuable data through surveys
- →Automate data analysis in Jupyter Lab
- →Use AI to generate interactive tutorial and lession through notebooks to study data science
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
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