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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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✓ verifiedFreemium

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

775K visits/mo

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

5.2K saves
1.5M visits/mo
QuickFiling logo
QuickFiling
✓ verifiedFreemium

AI-guided immigration petition drafting for NIW, EB-1A, EB-1B, O-1, I-485, and EB-5 cases, priced per case type.

17K visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
Dr. I-485: $299 (free to start)
Dr. Visa: $199 (free to start)
Dr. NIW: $749 (free to start)
Dr. EB1A: $949 (free to start)
Dr. EB1B: $949 (free to start)
Dr. O-1: $949 (free to start)
Dr. EB-5: $999 (free to start)
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)
  • Web scraping
  • Web crawling
  • Data extraction in Markdown, JSON, and screenshot formats
  • Dynamic content handling
  • Rotating proxies
  • Rate limits management
  • Open-source availability
  • Media Parsing
  • Category-specific AI specialists for NIW, EB-1A, EB-1B, O-1, I-485, and EB-5
  • Free initial eligibility evaluation before payment
  • Automated organization of supporting evidence and exhibits
  • Drafts full USCIS-ready petition letters and document checklists
  • Optional RFE (Request for Evidence) response drafting
  • DS-160 prep and consular interview guidance for nonimmigrant visas
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
  • Powering AI assistants with real-time web content
  • Enhancing sales data with web information
  • Adding scraping capabilities to code editors
  • Enabling customers to build AI apps with web data
  • Extracting comprehensive information for in-depth research
  • Self-filing petitioners building an NIW or EB-1A case without full attorney drafting
  • Immigration attorneys speeding up evidence organization and drafting
  • Employers preparing EB-1B outstanding researcher petitions
  • Visa applicants preparing DS-160 answers and interview readiness
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