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Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
No-code AI platform using multi-agent 'employees' to research, build, deploy and market full-stack apps from a prompt.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Data-labeling and RL data platform supplying training data, environments and evaluation for frontier AI labs and enterprises.
Online OCR tool that scans business cards and exports contacts to vCard, CSV or Excel, plus other converters.
No public pricing
No public pricing
No public pricing
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- ✦Multi-agent AI team (PM, engineer, analyst, etc.)
- ✦Chat-to-build full-stack apps
- ✦Built-in backend: auth, database, Stripe
- ✦SEO and ads agents
- ✦Race Mode across multiple models
- ✦Code export and GitHub sync
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Data labeling across modalities
- ✦RL environments and reward signals
- ✦Custom model evaluations and benchmarks
- ✦Human preference/annotation from an expert network
- ✦Recursion RL platform for enterprise agents
- ✦Robotics data (video, trajectories)
- ✦AI OCR business-card scanning
- ✦Export to vCard, CSV and Excel
- ✦Batch upload of multiple cards
- ✦Multi-card-type support
- ✦Related OCR and file converters
- ✦API plans
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags
- →Build SaaS and e-commerce apps
- →Launch MVPs in minutes
- →Add payments and user login
- →Drive SEO and ad growth
- →Export code and self-host
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Building training and evaluation datasets
- →Post-training and RLHF for models
- →Benchmarking model capability
- →Training enterprise specialist agents
- →Digitizing physical business cards
- →Bulk importing contacts
- →Building CRM contact lists
- →Extracting data from documents