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The New GitBook
✓ verified
Widely used technical-documentation platform with AI-powered search; very high traffic.
👁 653K/mo♥ 2.9K
Pricing
Free: $0 /month
Solo: $35 /month
Startup: $499 /month
Advanced: $1,499 /month
Enterprise: from $2,999 /month
No public pricing
No public pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Core features
- ✦AI Demo Automation (AI-gen content, translation, voiceover, avatars)
- ✦Interactive Demo Creation (Screenshot & HTML-based capture)
- ✦No-code Editor for Customization and Personalization
- ✦Advanced Analytics & Insights
- ✦Sandbox & Demo Center Environments
- ✦Extensive Integrations with Business Tools
- ✦AI-powered search and insights
- ✦Git-based workflow
- ✦WYSIWYG editor
- ✦OpenAPI spec file support
- ✦SEO and AI data ingestion optimization
- ✦Adaptive content
- ✦Built-in analytics
- ✦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)
- ✦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
Use cases
- →Product Marketing: Boost product adoption and generate qualified leads.
- →Pre-Sales & Sales: Craft and customize demos to close more deals.
- →Customer Success: Reduce support tickets and boost user retention.
- →Product Team: Validate product ideas and share updates effectively.
- →Partnership Team: Educate affiliates and manage demo assets.
- →Onboarding & Training: Foster quicker understanding and reduce onboarding time.
- →Build product documentation your users will love
- →Create interactive API docs
- →Localize your docs with AI
- →Centralize product docs, API reference, help center, and changelog
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →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.
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