SUUR Things vs The new v0
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 The new v0 leads with 431 upvotes
An AI agent + Kanban, matrix & time-blocking for Things 3
SUUR Things is an innovative add-on for Things 3 on macOS that combines AI capabilities with enhanced task management features. It functions as a free, open-source MCP server paired with a local dashboard, enabling users to integrate AI agents like Claude in a safe, read-only capacity. The tool enhances productivity by introducing features such as Kanban boards, the Eisenhower matrix, and day time-blocking—features that are notably absent from the official Things 3 app. Designed as a companion rather than a replacement, SUUR Things emphasizes privacy and security, operating without cloud dependencies or accounts, and ensuring data integrity through strict access controls. Its open-source nature and offline operation make it an appealing choice for power users seeking more control and customization in their task management workflow.
Pros
- Open-source with no cloud or account requirements, ensuring privacy and security
- Enhances task management with Kanban boards, Eisenhower matrix, and time-blocking
- Provides safe AI integration via read-only access, preventing data corruption
- Runs locally on macOS, offering fast and reliable performance
- Acts as a companion tool, complementing existing task workflows without replacing them
Cons
- Requires technical setup and familiarity with local servers and integrations
- Limited to macOS, excluding Windows and Linux users
- Features may be less polished compared to official or commercial task management tools
Best for
- • Enhancing task prioritization with Eisenhower matrix and Kanban views
- • Integrating AI assistants for task insights without risking data security
- • Implementing structured day time-blocking to improve daily productivity
- • Using as a local dashboard for comprehensive task overview on macOS
Pricing: Free and open-source, with no subscription or hidden costs, making it accessible for users seeking a privacy-focused productivity enhancer.
Full stack vibe coding platform. Created by Vercel.
The new v0 is an innovative full-stack coding platform designed by Vercel that integrates AI-powered development into enterprise workflows. It offers a seamless environment for building, testing, and deploying applications with production-ready AI coding features, enhanced security, and robust integrations. Tailored for teams and agents, it accelerates development cycles by enabling faster code generation, collaboration, and deployment within familiar git workflows. Its unique blend of vibe coding—an intuitive, creative approach to coding—combined with enterprise-grade security and automation makes it stand out in the AI-driven development space. This platform is ideal for organizations seeking to streamline their full-stack development process with AI assistance and collaborative tools, thereby reducing time-to-market and increasing productivity.
Pros
- Enterprise-ready with strong security and integration features
- Supports collaborative team workflows and agents for faster development
- Built-in AI coding capabilities to boost productivity and code quality
- Seamless git integration for efficient version control
Cons
- Relatively new, so some features or integrations may still be evolving
- Potential learning curve for teams unfamiliar with vibe coding or AI-powered tools
- Pricing details are not explicitly disclosed, which could be a consideration for some organizations
Best for
- • Accelerating full-stack application development for enterprise teams
- • Automating routine coding tasks with AI assistance
- • Streamlining collaboration across distributed development teams
- • Enhancing security and compliance in enterprise deployments
Pricing: Likely follows a subscription model with tiered plans, possibly including a free tier or trial, with paid plans starting around a moderate monthly fee for enterprise features and team collaboration tools. Exact pricing details are not publicly specified.