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Survey and feedback platform collecting zero-party data.
Pay-per-use cloud API to run, fine-tune, and deploy thousands of open-source and proprietary AI models with one line of code.
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Free trial available
No public pricing
No public pricing
No public pricing
- ✦No-code survey setup
- ✦On-site, email, and SMS survey options
- ✦Integrated AI insights
- ✦Intuitive dashboard with charts and reporting
- ✦Advanced targeting rules and third-party integrations
- ✦Fully translatable surveys
- ✦One-line API calls to run community and proprietary AI models
- ✦Support for image, video, speech, and LLM generation models
- ✦Fine-tuning and custom model deployment via Cog
- ✦Per-second usage billing on shared or dedicated hardware
- ✦Automatic scaling for high-traffic private models
- ✦Thousands of community-published models with production APIs
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦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
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Collect zero-party data using post-purchase surveys
- →Run email capture campaigns
- →Create interactive polls and forms
- →Drive change in marketing spend and product line (Ecommerce)
- →Gather feedback for product while rewarding & engaging your users (SaaS)
- →Ask your audience what types of content they want to see (Blogs & Media)
- →Developers embedding image/video/speech generation into an app via API
- →Teams deploying and scaling their own fine-tuned models
- →Builders comparing outputs from multiple AI models in one playground
- →Companies avoiding GPU infrastructure management for ML inference
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts