Hours worked, tasks completed, screenshots taken, activity levels teams have more productivity data than ever.
But having more data doesn't necessarily mean understanding productivity better.
We ve been building Dyzo to connect tasks, projects, time, activity, reporting, and AI so managers can understand what is actually getting done rather than just watching activity.
Project management in 2026 feels strangely fragmented. One tool for tasks, another for time tracking, another for team activity, another for reports, and now another layer for AI.
We ve been building Dyzo around a simple question: what if all of this lived in one workspace and the system could actually understand the work happening inside it?
We re launching Dyzo on Product Hunt tomorrow and would genuinely love opinions from founders, managers, developers, and remote teams.
What are the tools you currently use to manage your team and what still annoys you about them?
Most AI productivity tools are great at generating text. But what about actually understanding your team's projects, tasks, time, activity, reports, and workflows and then helping execute the work?
That s the direction we ve been exploring with Dyzo.
We re combining work management, time tracking, team visibility, reporting, and AI, with API + MCP capabilities so AI can work with the actual workspace instead of just sitting beside it.
Before we launch tomorrow, I d love to hear from people actually using AI at work:
Dyzo brings project management, automatic time tracking, productivity insights, remote-team monitoring, reporting, and AI into one workspace. Manage work, understand where time goes, automate repetitive tasks, and give your team the visibility to stay aligned all without stitching together multiple tools.
