Products

Remarc

AI-nativeMCPSkill

Your feedback layer for AI collaboration.

remarc.app SourceAI Models & Agents / Agent Tools & MCP Servers

AI Benchmark
Desktop
Mobile
Monthly visits
None yet
No traffic data yet
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Mete Polat
@young__mete· 1,022 followers
Launched
3mo ago
2026-08-11 · Est.

Traffic

Last 12 months
Monthly visits

No traffic data yet.

Events6 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
X accounts@metedata

  • Launched on Show HN (1 pts)Launch

    Remarc – better contextual feedback for AI agents — Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own…

    Sep 8 · 2mo agoLaunch page

  • Launched on Show HN (1 pts)Launch

    Remarc – provide more contextual and structured feedback to AI agents — Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own…

    Aug 16 · 3mo agoLaunch page

  • Launched on Show HN (3 pts)Launch

    Remarc – contextual feedback for coding agents via MCP — Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI a…

    Aug 14 · 3mo agoLaunch page

  • Launched on Show HN (2 pts)Launch

    Remarc – comment on anything on your screen and send it to your agent — Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI a…

    Aug 13 · 3mo agoLaunch page

  • Launched on Show HN (3 pts)Launch

    Remarc – Your feedback layer for AI collaboration — Hey HN, Mete here Today I released Remarc - the missing feedback layer between you and your coding agent. Point at anything on your Mac -…

    Aug 11 · 3mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2026-08-11Source
Post excerpt:
Hey HN, Mete here Today I released Remarc - the missing feedback layer between you and your coding agent. Point at anything on your Mac - text, screenshots, web elements, or voice - and your agent reads and resolves your comments over MCP. Think of it like Google doc commenting for anything on your screen. It's also completely free, local, and open-source. A
Show HN
2026-08-13Source
Post excerpt:
Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI agents on their own output. Social media may make building with AI seem like this: ask for the thing, blindly approve the plan, get the thing. Post “omg claude just one-shotted blah”. Profit. But if you’ve ever worked on a
Show HN
2026-08-14Source
Post excerpt:
Like any side project, Remarc had its innocent beginnings in my own problem — there was no good way to provide contextual feedback to AI agents on their own output. There are a plethora of tools for collaborating with humans, but surprisingly little for collaborating with AI. Chat just wasn’t cutting it for the kind of contextual feedback I wanted to give my
Show HN
2026-08-16Source
Post excerpt:
Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output. There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give: This thing in the implementation plan? Change it
Show HN
2026-09-08Source
Post excerpt:
Like any side project, Remarc started with my own problem: there was no good way to give AI coding agents contextual feedback on their own output. There are plenty of tools for collaborating with humans, but surprisingly few for collaborating with AI. Chat was not cutting it for the feedback I wanted to give: This thing in the implementation plan? Change it

Open Source & Agent Ecosystem

GitHub · MCP / Skill
metedata/Remarc
Last commit 2026-10-04
GitHub Stars
Public repo
Forks
—
License
See repository
Primary language
—
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Agent, MCP & Developer Integration

MCP ServerAgent Skill
Integration docs
Ecosystem & integrations:
Claude CodeCodexCursorClaude
Exposed tool capabilities:
Voice transcription runs on-deviceAutomatically attaches web context
Browse all MCP Server products →

Traffic sources

Traffic breakdown

No traffic channel or country breakdown data for this website yet.

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Search

Domain authority —Domain registered 2026-02-06

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Website does not list public plan prices.

Trial: None · Observed 2026-11-06 · Source page

Pages & changes

Tracked since 2026-08-11

Key pages

Weekly snapshots
Home
remarc.app/ Snapshot 2026-11-06

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

What is Remarc and what platforms does it support?
Remarc is catalogued under Agent Tools & MCP Servers: Your feedback layer for AI collaboration.. Supported platforms: Browser Extension.
Is Remarc open source?
Remarc has a public repository (https://github.com/metedata/Remarc) with its source repository published.Source

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