Dhamark

Dhamark

Turn screen feedback into tickets in under 60 seconds

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@femina
Published on Sep 10, 2026
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AI-readyAI-readyWhether this product carries the structured data - use cases, audiences, platforms - that lets AI match it to the right questions.
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Described for AI with use cases, audiences, platforms and pricing so assistants can match it to the right questions.
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Queryable through the PeerPush API, MCP and semantic search from day one.

About Dhamark

Dhamark is an AI-powered product context capture tool that turns screen feedback, bugs, feature ideas, and product discussions into build-ready tickets and specs. Capture a user journey with screen recording, screenshots, annotations, voice notes, and technical context such as console errors, network activity, page details, and interactions. Dhamark then converts that context into structured user stories, acceptance criteria, edge cases, priorities, story points, and frontend, backend, design, QA, and DevOps subtasks. Unlike traditional bug-reporting or screen-recording tools, Dhamark doesn’t stop at showing what happened—it helps teams decide what needs to be built next. Product managers, founders, designers, QA, and developers can capture context once and reuse it across Jira, Linear, Notion, or AI coding workflows. The result: fewer clarification calls, less manual documentation, faster handoffs, clearer requirements, and shorter cycles from feedback to implementation.

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