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AI social-listening and customer-feedback platform that tracks brand mentions, creators, and sentiment across video-first social platforms.
AI knowledge-management app oriented toward ADHD users.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Open-source Stable Diffusion/Kandinsky image generator with a free daily tier and paid plans for faster, commercial use.
Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.
No public pricing
No public pricing
Free trial available
- ✦Cross-platform social listening including video (TikTok, Reels, Shorts)
- ✦Competitive analysis of rival brands' content and creators
- ✦Speech-to-text and AI vision analysis of video content
- ✦Plain-language query interface for filtering data
- ✦Creator discovery and campaign tracking
- ✦Centralized customer feedback intake with AI tagging and sentiment
- ✦MCP connector for using data inside Claude/ChatGPT workflows
- ✦AI-powered note-taking and organization
- ✦Smart inbox for managing new notes
- ✦Tag suggestions using AI
- ✦Relevant note suggestions
- ✦AI writing assistance
- ✦Task management
- ✦Integration with other apps
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Text-to-image and image-to-image generation
- ✦Open-source codebase
- ✦Free daily image quota with slower generation
- ✦Paid tiers with faster and parallel generation
- ✦Commercial usage rights on paid plans
- ✦Optional credit top-ups on paid plans
- ✦500+ AI models at zero inference markup
- ✦Bring-your-own-keys and local model support
- ✦MIT-licensed, fully open source
- ✦Works in VS Code, JetBrains, CLI and cloud
- ✦Agent modes (Code, Architect)
- ✦Parallel isolated worktrees
- ✦Slack code reviewer and gateway
- →Consumer brands monitoring sentiment and share of voice on social video
- →Marketing teams finding and vetting influencer partners
- →CX teams unifying feedback from tickets, chat, surveys and reviews
- →Learning new knowledge
- →Brainstorming new ideas
- →Summarizing meeting notes
- →Creating newsletters
- →Synthesizing training documents
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Hobbyists trying AI image generation for free
- →Creators needing private, commercially licensed AI art
- →Developers wanting an open-source Stable Diffusion front end
- →Writing and refactoring production code with AI
- →Planning features before implementation
- →Running agents across multiple IDEs and the CLI