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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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textit.com
✓ verifiedFree trial
No-code visual flow builder for launching multichannel SMS, WhatsApp and Facebook chatbots at scale, aimed at NGOs and enterprises.
👁 7.1K/mo
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v0.dev
✓ verifiedFreemium
Vercel's AI app builder that generates and deploys full-stack React web apps and UI components from natural-language prompts.
👁 176K/mo
Pricing
No public pricing
No public pricing
Standard: $25/mo (1,000 messaged contacts, additional at $0.01/contact/mo, unlimited messages)
Free trial available
Free: $0/mo ($5 included monthly credits, 7 messages/day limit)
Team: $30/user/mo ($30 included monthly credits per user)
Business: $100/user/mo ($30 included monthly credits per user, training opt-out by default)
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)
- ✦Drag-and-drop flow designer
- ✦Contact database with custom fields
- ✦Automated campaign scheduling
- ✦Omni-channel messaging (SMS, WhatsApp, Facebook, etc.)
- ✦Ticketing for bot-to-human hand-off
- ✦Zapier/Wit.ai/webhook integrations
- ✦Nonprofit discount pricing
- ✦Prompt-to-app generation of full-stack web applications
- ✦One-click deployment to Vercel hosting
- ✦GitHub sync for pushing generated code to a repository
- ✦Visual design mode for fine-tuning generated UI
- ✦Prebuilt templates for apps, dashboards and landing pages
- ✦Agentic building with automatic database and API connections
- ✦iOS app for building and editing on mobile
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
- →Running patient or research-subject engagement programs
- →Building customer support chatbots across multiple channels
- →Automating recurring outreach campaigns
- →Handling large-scale SMS surveys in developing regions
- →Escalating complex chatbot conversations to human agents
- →Developers rapidly prototyping and deploying web apps
- →Teams generating UI components and design systems from prompts
- →Non-technical founders building MVPs without writing code
- →Students and hobbyists building and publishing small projects
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