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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.

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

5.2K
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/mo
devActivity
✓ verifiedFreemium

GitHub-based engineering analytics that tracks contributions, automates performance reviews and adds gamification for dev teams.

👁 52K/mo
GitFluence
✓ verifiedFree

Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.

Pricing

No public 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)
Free: $0/contributor (up to 7 contributors, 90-day retention)
Premium: $10/contributor (unlimited contributors, AI insights)

No public pricing

Core features
  • 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)
  • 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
  • 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
  • Natural-language to Git command suggestions
  • AI-driven command matching
  • Copy-ready command output
  • Git guides and reference
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • 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
  • Automating developer performance reviews
  • Spotting delivery bottlenecks
  • Generating retrospective insights
  • Motivating teams via gamification
  • Find the correct Git command quickly
  • Learn Git syntax by describing a goal
  • Avoid memorizing Git flags
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