LayerStack’s Arm-based cloud virtual machines, powered by cloud-optimized CPU based on Arm architecture that deliver excellent cost-effective processing power, allowing you to easily complete the most demanding application development.

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Website feedback tool for agencies, designers, engineers and product teams to annotate any element on a live page, from prototype to production, so teams or coding agents can act on it.

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LayerStack Arm-based Cloud Server
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| Website | layerstack.com | skyelight.ai |
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| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of LayerStack Arm-based Cloud Server yet.
Skyelight is for agencies, designers, engineers and product teams who build live sites with clients and stakeholders. Reviewers pin comments directly on any part of a live site, prototype or preview, so each thread arrives tied to the exact element and source line. Comments are classified...
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Meet Skyelight
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As answered by people managing LayerStack Arm-based Cloud Server and Skyelight.
Skyelight's answer:
I've spent 18 years designing and building for the web, from marketing sites to full applications. Across the table from product teams, engineers and clients, I kept hitting the same problem: feedback was hard to get, and once it came in it was scattered across screenshots, email threads and Slack messages. Then someone had to work out what each comment meant before anything could be fixed. I built Skyelight so feedback lands on the page it's about, with the context a developer or their AI agent needs to act on it.
Skyelight's answer:
Skyelight is used by digital agencies running client website reviews, product and design teams reviewing prototypes and staging builds, and developers building with AI coding agents.
Skyelight's answer:
Skyelight turns website feedback into a conversation that both people and coding agents can work from. Reviewers press C and click any element on a live site, prototype, or staging build to start a thread, including menus, modals, and highlighted copy. Skyelight classifies each thread in real time as the discussion develops, captures a screenshot of the element, and connects it to your GitHub repo and branch previews so the feedback carries the source context behind it. From there, a thread can be assigned to a teammate or handed straight to a coding agent like Claude Code, Cursor, or Codex through the Skyelight MCP.
Skyelight's answer:
Most website feedback tools were designed to collect reports and push them into a ticket queue, with agent support added later. Skyelight is built for teams where the next step after feedback is often an AI agent writing the fix. Comments stay as live threads that get classified as people talk them through, instead of one-off reports someone has to triage afterward. Each thread is tied to the element and the code behind it, so whoever picks it up, a developer or an agent, starts with the context already in place.
Skyelight's answer:
Skyelight is for teams that review websites together and increasingly build them with AI coding agents. That includes agencies collecting client sign-off, product and design teams reviewing prototypes and staging builds, and developers who want feedback delivered straight to their coding agent. What they share is a mixed team: non-technical reviewers on one side, developers and agents on the other.
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