TL;DR I've personally juggled tools to search for creators, outreached to thousands of them across different languages, and had my inbox constantly flooded. With my co-founder Lucas, we built Koli to automate that painful work.
Product Demo Video
Koli is an AI productivity and task management platform that helps individuals and teams organize work, prioritize tasks, and maintain focus through AI-assisted planning that adapts to their actual work patterns rather than imposing a rigid productivity methodology.
The platform's AI analyzes task priorities, deadlines, estimated effort, and the user's historical completion patterns to generate dynamic daily plans that are achievable given real constraints meetings, energy levels, and interrupt-driven work rather than idealized schedules that fall apart by mid-morning.
This adaptive planning approach addresses one of the fundamental failures of traditional task management tools: they capture what needs to be done but offer no intelligence about when and in what order to do it.
Koli's natural language task input allows users to add tasks by typing or speaking in plain sentences 'prepare the Q3 report before Thursday's board meeting' and the platform automatically extracts the task, assigns a due date, and slots it into the appropriate position in the priority queue.
Recurring tasks, multi-step projects, and delegated items are tracked with appropriate context so that nothing falls through the planning gaps that single-list task systems create.
The platform's focus mode blocks distracting apps and notifications during planned deep work sessions, creating the protected time that complex tasks require.
Koli integrates with calendar systems, email clients, and project management tools to incorporate external commitments into planning calculations ensuring that scheduled meetings are accounted for when planning what can realistically be accomplished in a given day.
Progress tracking and retrospective features allow users to review how their planned time compared to their actual time, identifying patterns in where estimation regularly goes wrong and building a more accurate personal productivity model over time.
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