This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Dhamark
Turn screen feedback into developer-ready tickets
Turn voice and screen annotations into Jira, Linear, or Notion tickets — with user stories, acceptanCapture your screen, speak your feedback, and add visual annotations. Dhamark uses AI to turn everything into structured, developer-ready tickets with user stories, acceptance criteria, screenshots, and technical context—then sends them to Jira, Linear, or Notion.ce criteria, and edge cases in seconds.
I built Dhamark after seeing how much product context gets lost between feedback and development.
A typical feedback cycle involves recording a call, taking screenshots, drawing annotations, writing notes, and then manually converting everything into tickets. Developers still have to ask follow-up questions because important visual context or expected behaviour is missing.
Dhamark brings that workflow into one place. Capture your screen, speak naturally, and annotate exactly what needs to change. Dhamark turns it into a structured, developer-ready ticket with screenshots, user stories, acceptance criteria, edge cases, and technical context—ready to send to Jira, Linear, or Notion.
I’m launching an early version and would genuinely value your feedback. What part of your current feedback-to-development workflow wastes the most time? 🚀
About Dhamark on Product Hunt
“Turn screen feedback into developer-ready tickets”
Dhamark was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #24 on the daily leaderboard. Turn voice and screen annotations into Jira, Linear, or Notion tickets — with user stories, acceptanCapture your screen, speak your feedback, and add visual annotations. Dhamark uses AI to turn everything into structured, developer-ready tickets with user stories, acceptance criteria, screenshots, and technical context—then sends them to Jira, Linear, or Notion.ce criteria, and edge cases in seconds.
On the analytics side, Dhamark competes within Productivity, Task Management, Developer Tools and Vercel Day — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Dhamark performed against the three products that launched closest to it on the same day.
Who hunted Dhamark?
Dhamark was hunted by Femina Brahmbhatt. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Dhamark including community comment highlights and product details, visit the product overview.