Dart is an AI-native work management platform built to transform how teams collaborate, automate, and execute work. With artificial intelligence at its core, Dart unifies chat, agents, and skills into one seamless environment, helping organizations streamline projects, reduce manual effort, and accelerate outcomes.
Unlike traditional tools that bolt on AI, Dart embeds intelligence into every interaction. Its AI chat enables natural, context-aware communication for brainstorming, task management, and real-time insights. Customizable agents handle routine tasks like scheduling, reporting, and coordination, while skills extend automation into specific processes, from data handling to complex project orchestration.
Designed for teams of all sizes, Dart offers agility for startups and scalability for enterprises. Its modular design lets organizations adopt what they need today and expand into advanced automation over time. Through its MCP server and APIs, Dart integrates with existing tools, ensuring AI-driven workflows connect across the digital workplace.
The platform emphasizes usability with an intuitive, natural language interface that shortens onboarding and drives adoption among technical and non-technical users alike. Security and compliance are built in, protecting sensitive business data while enabling AI at scale.
By embedding intelligence into work, Dart reduces manual effort with automation, strengthens collaboration through AI chat, improves decision-making with contextual insights, and helps teams deliver faster, higher-quality results. More than a productivity tool, Dart redefines how projects are managed and executed in the AI era.
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Based on our record, Linear seems to be more popular. It has been mentiond 144 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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In one of my previous companies, we had a separate project on GitHub (think of it as a Jira epic) where we collected various feedback after every release. Not to say we weren't expecting feedback outside of that time frame, but after every release is just when we received the most feedback. Once the bigger wave of feedback came in, that project went through triage (usually by the project managers, etc), where... - Source: Hacker News / 4 months ago
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