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Runcell - Jupyter AI Agent
✓ verifiedFreemium
Jupyter-native AI agent that remembers a data project across sessions and reads chart/plot outputs, not just code.
👁 170K/mo♥ 5.5K
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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
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Lovable
✓ verifiedFreemium
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
👁 35M/mo♥ 69K
Pricing
No public 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)
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)
- ✦Cross-session project memory recalling prior decisions and state
- ✦Autonomous execution of long, multi-step notebook tasks
- ✦Reads cell outputs (plots, tables, metrics), not just code
- ✦In-notebook cell-level assistance and error fixing
- ✦Installs directly into existing JupyterLab via pip, no new editor
- ✦Concept explanations with runnable example cells
- ✦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
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Data scientists running multi-week model iteration projects
- →Domain experts (e.g. risk/fintech) who know the problem but not deep Python
- →Researchers wanting an agent that remembers project context across days
- →Analysts needing help understanding unfamiliar algorithms or libraries
- →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
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
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