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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
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Kaggle
✓ verifiedFree
Google-owned hub for data scientists to find datasets, enter ML competitions, run notebooks, and learn.
Pricing
Forever Free: $0
Basic: $19
Professional: $49
Agency: $149
No public pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦TinyForms: Build smart forms with customized APIs, real-time logic, and dynamic APIs.
- ✦TinyWorkflows: Create no-code automations with a visual drag-and-drop builder, human-in-loop capabilities, and AI assistance.
- ✦TinyTables: Manage, analyze, and visualize data with live sync, built-in AI enrichment, and smart insights.
- ✦TinyEmails: Create and send personalized emails directly from workflows with AI-crafted messages and data-driven timing.
- ✦TinyAgents: Deploy specialized AI agents for research, qualification, or enrichment tasks, with prebuilt expertise and customizable logic.
- ✦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)
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
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- ✦Public dataset repository
- ✦Machine-learning competitions with prizes
- ✦Browser-based notebooks with free GPU/TPU
- ✦Micro-courses on data science topics
- ✦Community forums and shared code
Use cases
- →Lead Management: Automate lead capture, enrichment, and CRM syncing to turn form fills into qualified prospects.
- →Sales Pipeline: Automate handoffs and streamline sales processes for efficiency.
- →Marketing Campaigns: Boost marketing campaign impact through automation.
- →Recruitment Flow: Automate hiring and onboarding by collecting applications, shortlisting with AI, and notifying teams.
- →Community Flow: Manage community onboarding, approvals, and communication on platforms like Telegram.
- →Campaign Flow: Streamline voucher availing journeys, rewards, and coupon redemptions with full automation.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
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- →Practicing and benchmarking ML models
- →Finding datasets for analysis
- →Competing in predictive-modeling contests
- →Learning data science skills
- →Sharing reproducible notebooks
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