Chrome Extension
40+ teams in private beta

Screen feedback
→ build-ready tickets.

Point at any part of your product, speak your feedback, and Dhamark generates the complete spec — user story, acceptance criteria, edge cases, FE/BE tasks, and screenshots attached. Exports to Jira, Linear, or Notion in one click.

Your voice. Their ticket. Nothing lost.

Voice → Ticket·Screenshots attached·User story + AC generated·Jira · Linear · Notion

No credit card. Built for PMs, QA teams, and agencies shipping fast.
Used by early teams across SaaS, e-commerce, and internal tools.

<60s
Voice to ticket
10×faster than typing
1-clickto Jira, Linear, or Notion
app.northwind.io/orders
DHAMARK
1
2
N
Northwind
OrdersCustomersProducts
All Orders
OrderCustomerSKUStatusTotal
#NW-8821Priya SharmaSKU-441Fulfilled$284
#NW-8820Arjun RaoSKU-112Pending$1,042
#NW-8819Vikram NairSKU-309Cancelled$538
0:24
NW-412
J
Exported
Global search with grouped autocomplete
As a Northwind operator, I want to search orders, SKUs and customers from a single bar.
Givena logged-in operator on any page
Whenthey type 2+ chars in the search
Thenresults appear grouped within 250ms
6 criteria
3 edge
API
J
Jira
L
Linear
N
Notion
G
GitHub
Get Dhamark where your team already works
The problem

Your team is not slow.
Your feedback is scattered.

“Your engineer builds what they understand — not what you meant.”

A Loom nobody watches. A screenshot without context. A Jira ticket that says “see screenshot above.” A Slack thread that disappears before sprint planning. Dhamark captures the exact screen region, your voice context, and the expected behavior before the nuance disappears.

Context dies between demo and ticket.
45 minutes after the demo, half the nuance is already gone — buried in your short-term memory.
“See screenshot above.”
Engineers get an image and a guess. What region? What behavior? What edge case?
Three tools, zero spec.
Figma + Loom + Jira without a bridge means context lives in Slack DMs.
Rebuilt, not right.
The dev built what they understood. Nobody's fault — there was no spec.
How it works

Three steps.
One complete ticket.

01 · Capture

Open any screen. Draw on anything.

Click the Dhamark extension on any live web app. Draw boxes around the exact pixels you mean, drop numbered pins, or just hit record.

5 seconds to first mark
02 · Describe

Speak your feedback — Dhamark structures it.

Record a voice note per annotated region. Dhamark auto-generates user story, acceptance criteria, edge cases with severity, and API sketch.

Spec structured for you
03 · Export

One click to Jira, Linear, or Notion.

Every spec exports as a structured ticket with the annotated screenshot attached — into the tracker your team already uses. Zero copy-paste.

Zero copy-paste
See what your team receives

From voice to a complete, structured spec.

This is what your engineer actually receives. Not a screenshot. Not a Loom. A complete, exportable spec — auto-generated from your voice annotation.

NW-412
Global search with grouped autocomplete
Feature
High priority
Frontend + Backend
J
Exported to Jira
L
Synced to Linear
Annotated regions
app.northwind.io/orders
1
Search orders, customers, SKUs…
2
ORDERCUSTSKUSTATUSTOTAL
#8821Priya441✓ Done$284
#8820Arjun112⏳ Pend$1,042
Northwind Orders · 2 regions marked · 0:24 voice note
User story
As aNorthwind operator
I wanta global search bar that queries orders, SKUs, and customers simultaneously with grouped autocomplete results
So thatI can find any record in under 3 keystrokes without switching between views
Acceptance criteria
Given
a logged-in operator on any Northwind page
When
they type 2+ characters into the search bar
Then
results appear grouped by Orders, Customers, SKUs within 250ms (debounced)
And
each result shows ID, name, and status in one line
And
selecting a result navigates directly to that record
And
an empty state appears if no results match
Edge cases
HIGH
Network failure mid-search
Show inline error, allow retry without clearing input
MED
Special characters (/, #, @) in query
Sanitize input, do not break URL routing
LOW
Rapid repeated keystrokes
Cancel prior request on new input — debounce 250ms
API sketch
GET
/api/search?q={query}&types=orders,customers,skus&limit=5
{"results": {
  "orders": [{id, ref, status, total}],
  "customers": [{id, name, email}],
  "skus": [{id, name, stock}]
}}
The difference

From “see screenshot above”
to a build-ready spec.

Before: feedback scattered across screenshots, Looms, Slack, and Jira comments. After: one structured ticket your engineer can actually build.

Before Dhamark
see screenshot above
attached to Jira comment
screen-recording-final-v3.mp4
37 min · 0 views
fix that thing
Jira comment
“it's broken on mobile, not sure which screen”
No AC · No repro
🐛
Bug #441
Owner: ???
Status: ???
45mavg to write a spec
rebuilt on average
vs
After Dhamark
NW-412
J
Jira
Global search with grouped autocomplete
FeatureHigh priority
Givena logged-in operator on any page
Whenthey type 2+ chars in search
Thenresults grouped within 250ms
✓ 6 AC
⚠ 3 edge
</> API
NW-411
L
Linear
Order status filter with multi-select
QA approved
NW-410
N
Notion
Export orders to CSV with date range
NW-409
J
Jira
Fix pagination bug on orders table
<60svoice to full spec
0sync calls needed
Who it's for

Built for teams that turn
messy feedback into tickets every week.

Whether you're a PM wrangling stakeholders, a QA lead filing bugs, or an agency bridging clients — Dhamark closes the gap between feedback and spec.

Product Managers
Recording Looms nobody watches. Rewriting stakeholder notes after every call. Jira tickets that say "see screenshot above."
Turn any stakeholder call into build-ready tickets — user story, AC, edge cases — without touching a keyboard after the meeting.
QA Engineers
Filing bugs with "it looks wrong" and chasing devs for repro steps. Hours lost writing structured reports for issues found in seconds.
Capture the exact screen region, voice the expected vs actual, and get a complete bug report — repro steps, severity, and edge cases included.
Agencies & Client Teams
Translating client voice notes, WhatsApp messages, and scattered screenshots into sprint tasks manually every week.
Clients point, speak, and explain. Your team receives structured tickets with subtasks, story points, and specs — not another voice note.
Engineering Managers
Manually estimating story points. Breaking epics into subtasks in planning meetings. Specs that arrive vague and need three follow-up calls.
Every ticket arrives with AI-generated subtasks and story point estimates. Sprint planning starts from a spec, not a guess.

Also used by designers, frontend developers, and stakeholders who need feedback to land as actionable work — not more messages.

What you get

The complete workflow —
from screen to shipped ticket.

No extra tools. No new process. Just point, speak, and export.

Speak it. Don't type it.

Record per region. Dhamark transcribes and structures it — no typing, no context loss.

Mark the exact pixel

Draw regions, drop numbered pins, layer annotations on any element of any live page.

Full spec, generated for you

User story, given/when/then criteria, edge cases with severity, API sketch — auto-generated per ticket.

Push to Jira, Linear, Notion

Every spec exports as a structured ticket with the annotated screenshot attached. Zero copy-paste.

The error ships with the ticket

While you record, Dhamark captures console errors and failing API calls from the page. Say "the orders endpoint is broken" — the ticket arrives with the exact 500 linked to your words, plus the curl to reproduce it.

Privacy-first by design

Dhamark captures only what you mark, say, and record — runtime evidence is method, URL, and status only. No request bodies, no headers, no cookies, ever.

AI-generated subtasks

Dhamark breaks every ticket into actionable subtasks and assigns AI-estimated story points to each — no manual decomposition, no sprint planning overhead.

Copy as AI prompt

One click copies your full spec as a ready-to-paste prompt for Claude, GPT, or Cursor — hand off to an AI agent without rewriting anything.

Similar tickets

Every new ticket is checked against your history — duplicates and related work surface before your team builds the same thing twice.

On the roadmap

Figma integration

Connect your Figma file and Dhamark names the exact components in every spec — frontend tasks reference your design system, not vague descriptions.

On the roadmap

Design reference

Get an AI-generated visual reference alongside the spec — a starting point for how the fix should look, attached straight to the ticket.

On the roadmap

Knowledge Base

Every exported spec is searchable. Decisions and patterns accumulate into a living knowledge base.

Common questions

Everything you need
to get started.

Is $19/month actually worth it?
If one bad build costs you a sprint cycle — two weeks of dev time at $150–200/day — the math writes itself. One first-time-right ticket pays for six months. Start free with 25 full tickets a month and find out before you pay anything.
Does Dhamark work on any web app?
Yes. Use the Chrome extension on live web apps, internal tools, dashboards, Figma prototypes, staging links, or client portals — any page you can open in Chrome.
Will you still exist in six months?
Dhamark is built by Uptevo, a GST-registered product studio with 40+ teams in private beta. We're not a side project. If that changes, you'll know before your next billing cycle.
Do I need Jira to use it?
No. Dhamark supports Jira, Linear, and Notion out of the box. You can also copy the full spec to clipboard — ready to paste wherever your team works.
Is this actually for someone like me?
If you've ever written "see the Loom" in a ticket — and later found out dev didn't watch it — yes. If you have a scrum master, a BA, and a dedicated technical writer, you probably don't need this yet. We're built for the person who is all three.
Is my data private?
Dhamark captures only what you mark and record. Screenshots, voice notes, and generated specs stay in your workspace — nothing is shared without your consent. Runtime evidence is limited to console messages and the method, URL, and status of failed requests — never request bodies, headers, or cookies.
Works with your tools

One platform.
Every tracker you use.

Dhamark exports to Jira, Linear, and Notion. Your team never leaves their workflow.

J

Jira

Export tickets directly to Jira Cloud. Every spec becomes a complete issue with attachments, labels, and custom fields populated automatically.

Direct ticket creation
Screenshot attachment
Custom field mapping
Assignee sync
L

Linear

Push tickets to Linear with full structure. Acceptance criteria map to Linear's native format, and edge cases become subtasks automatically.

Native Linear format
Subtask generation
Team assignment
Cycle assignment
N

Notion

Create database entries in Notion with your full spec. Perfect for teams using Notion as their project hub — no copy-paste, all automated.

Database integration
Property mapping
Block formatting
Relation support
All integrations sync instantly. No webhook setup. No custom API code. Just connect your account and start exporting.
Pricing

Start free.
Pay when it clicks.

3 complete tickets free — user story, AC, edge cases, the whole spec. No credit card. No truncated output.

Free
$0

25 tickets per month. Full output on every one — AC, edge cases, FE/BE split. No credit card.

  • 25 tickets/month
Get started free →

Self-serve Pro billing opens after Stripe activation — talk to us meanwhile. · 40+ product teams already in private beta

Your annotation.
Their ticket. Nothing lost.

Tell us about your team — we'll get back within one business day.
Takes 2 minutes.

<60sVoice to ticket
10×Faster than typing
1-clickto Jira, Linear, or Notion
Contact sales
Enter your work email — we'll ask a few questions so we can help the right way.
No spam. We reply within one business day.