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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

👁 775K/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
Surface Labs
✓ verifiedPaid

AI-plus-human lead operations platform that captures, qualifies, routes, and nurtures B2B leads to increase booked demos.

👁 8.9K/mo880
Pixels2Flutter
✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K
Qoder
✓ verifiedFreemium

Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.

👁 2.7M/mo32K
Pricing

No public pricing

No public pricing

Light: $500/mo

No public pricing

No public pricing

Free trial available

Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • 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)
  • Multi-step lead capture forms with higher email capture rates
  • AI spam filtering and lead scoring against ICP criteria
  • Plain-English routing rules to match leads to the right rep
  • Automated no-show recovery via email and iMessage follow-up
  • Bi-directional CRM sync with Salesforce and HubSpot
  • Funnel analytics, audit trails, and agent observability
  • Multi-agent collaboration for end-to-end tasks
  • Persistent memory and custom rules
  • Extensible skills and plugins
  • Rich context across code, images, and directories
  • Automatic codebase documentation generation
  • Terminal-native CLI and JetBrains IDE plugin
  • Cloud-hosted agents for enterprise use
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • B2B marketing teams wanting more demos booked from existing traffic
  • Sales ops teams needing automated lead routing rules
  • Companies wanting to recover and re-engage no-show leads
  • Enterprises requiring SOC 2/GDPR-compliant lead handling
  • Autonomous feature development in large codebases
  • Terminal-based AI pair programming
  • Cross-department task automation for legal, finance, HR
  • Onboarding developers to unfamiliar codebases
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