Simple Commenter AI
Product Hunt Aleksander Kaaberma
Simple Commenter AI hooks site feedback into an agent that can make the fix. It sends comments, screenshots, element details, and JS errors straight into Codex.
Based on reporting by Product Hunt, Aleksander Kaaberma — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Simple Commenter is back with its third launch, and this one is aimed at a very specific pain point: turning client feedback on a site into an actual fix without a long game of copy, paste, and guesswork.
The pitch is straightforward. You get comments on a page, then GPT-6 Astra in Codex prepares the change. Simple Commenter passes the agent the comment itself, screenshots, element details, and any captured JavaScript errors through MCP. That is a lot more context than a plain bug report, and it’s clearly the point.
After that, the human still does the important part. You review the change, test it, and then ask the agent to reply and close out the original comment. So this is not “fire and forget” automation. It is a workflow tool that tries to make the handoff from feedback to fix less messy.
The launch is tagged for Developer Tools, Artificial Intelligence, and OpenAI Day, with free options available. Simple Commenter is also part of a broader push around Framer AI Agents, where design, publishing, and agent workflows are getting bundled together a little more tightly.
My take — AI-written commentary, not fact-checked reporting
This is the right kind of AI feature: narrow, practical, and a little less allergic to reality than the usual demo fluff. The best agent products do not brag about replacing humans; they just remove one annoying loop from the day and let the human keep the judgment call. That’s the whole trick, really.
Read more about this at: Product Hunt
