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Supernormal
✓ verifiedFreemium
AI meeting assistant for agencies that turns calls directly into finished client deliverables like slides, briefs, and proposals.
102K visits/mo203K saves
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The New GitBook
✓ verifiedFreemium
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
653K visits/mo2.9K saves
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Qodo
✓ verifiedFree trial
AI code-review and governance platform that reviews pull requests with full-repo context and enforces coding standards across the SDLC.
160K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
Free trial available
Pro Team: $30/mo (pooled team credits)
Free trial available
Core features
- ✦CSV to API conversion
- ✦Data parsing (CSV to JSON)
- ✦Filtering capabilities
- ✦Bot-free AI meeting notetaking
- ✦Auto-generated slides, documents, and spreadsheets from meetings
- ✦Pre-built templates for briefs, proposals, and pitch decks
- ✦AI image generation tied to meeting context
- ✦Desktop notetaker for Mac and Windows
- ✦Integrations and MCP support
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Agentic PR review with full codebase context
- ✦Local real-time review inside the IDE
- ✦Cross-repo change and dependency detection
- ✦Self-learning rules and standards system
- ✦Governance dashboard and audit trails
- ✦Git and IDE integrations
Use cases
- →Sharing CSV data with a team via an API
- →Creating a public API from CSV data
- →Filtering and accessing specific data within a CSV file programmatically
- →Agencies converting client calls directly into briefs or proposals
- →Teams turning brainstorm meetings into pitch decks
- →Client services teams producing one-pagers from discovery calls
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Automate pull-request reviews
- →Enforce organization-wide coding standards
- →Catch breaking changes across repositories
- →Review and fix code in the IDE
- →Govern AI-generated code at scale
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