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All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Zero-config AI browser testing that auto-runs end-to-end tests on every GitHub PR and posts results as comments.
GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.
No public pricing
No public pricing
- ✦Drag-and-drop form builder with conditional logic
- ✦Workflow automation with 60+ node types and 400+ integrations
- ✦Prebuilt and custom AI agents for tasks like lead scoring
- ✦Relational database with AI-enriched columns
- ✦Drag-and-drop email builder with AI-drafted content
- ✦Company and contact enrichment and web research tools
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦No-config automated browser testing
- ✦GitHub-native PR testing with inline results
- ✦Fully managed cloning, build, and tunneling
- ✦AI app mapping and targeted test generation
- ✦Recorded, replayable test sessions
- ✦MCP server for Claude and Codex
- ✦Contribution and work-quality analytics
- ✦Automated, AI-powered performance reviews
- ✦Retrospective insights
- ✦Operational bottleneck alerts
- ✦Gamification with XP, levels and leaderboards
- ✦Uses Git metadata without accessing source code
- →Capturing and automatically routing sales leads
- →Building onboarding or support-triage workflows
- →Running AI-driven lead scoring and qualification
- →Sending personalized, data-merged email campaigns
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Catch UI regressions before merge
- →Test user flows automatically on each PR
- →Validate flows against a local dev server
- →Replace hand-written Playwright/Selenium suites
- →Automating developer performance reviews
- →Spotting delivery bottlenecks
- →Generating retrospective insights
- →Motivating teams via gamification