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AI Pine Script generator for TradingView strategies and indicators.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
AI-assisted coding-tutorial tool for learning to code; now unmaintained as its creator moved to another project.
Community platform running free online and hybrid AI hackathons where builders form teams and ship prototypes with new AI tech.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦AI-powered Pine Script code generation
- ✦Custom strategy and indicator creation
- ✦Error correction and code optimization
- ✦TradingView integration
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦Real-time AI answers during technical interviews
- ✦Invisible to screen sharing and recording
- ✦Hidden from dock, tray and activity monitor
- ✦Click-through overlay
- ✦Live audio capture and transcription
- ✦Lifetime unlimited access license
- ✦AI-powered coding tutorials
- ✦Interactive, developer-style lessons
- ✦Guided learning with modern tools
- ✦Demo project walkthrough
- ✦Waitlist sign-up (courses coming soon)
- ✦AI hackathon events (online and hybrid)
- ✦Team formation and mentorship
- ✦Boilerplates and tutorials
- ✦Project submissions and leaderboard
- ✦Access to sponsor AI tech and credits
- ✦Builder community
- →Generating custom trading strategies for backtesting on TradingView
- →Creating custom indicators for technical analysis
- →Automating the process of writing Pine Script code
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews
- →Learning to code with an AI assistant
- →Following interactive coding tutorials
- →Practicing with guided project examples
- →Joining AI hackathons
- →Building and showcasing AI prototypes
- →Learning new AI tools
- →Networking with AI builders and labs