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Feedbacks
Team and client annotations for developers and AI agents
Make website feedback easy for clients. They point, annotate and comment; your developer team and its AI agents get the same screenshots, exact text requests and replay context. Keep the conversation with the work. Free, Apache-2.0 and self-hosted. Start with one Docker command.
Hi Product Hunt — I’m Suyog, building Feedbacks at Softinator TechLabs.
A screenshot can show where something is wrong. The handoff still loses the original page, the exact wording someone wants changed, what happened before a bug, and what the developer’s coding agent needs to investigate.
We built Feedbacks to keep those pieces together. Point at a website, mark the screenshot and explain the change. For harder bugs, explicitly record a session and inspect its activity, console and network timeline together. Save a frame when one moment explains the problem best.
Then give your coding assistant the same thread, images and approved project context through MCP. It can read the evidence and discuss the requested work while you decide what to implement. That shared context is the part we care about most.
The complete app, Chrome extension and agent interfaces are Apache-2.0. You control the server and data. The new one-command local setup keeps PostgreSQL and screenshots in Docker volumes, so trying the workflow needs no cloud-storage account. Shared HTTPS deployment has its own guide. Infrastructure and any optional model service remain your costs.
Try the walkthrough, or install it and send your first marked screenshot to your coding assistant. Which part of the feedback-to-fix handoff do you still have to reconstruct manually?
I’d love to hear where it helps, where setup gets difficult, and what you would change.
About Feedbacks on Product Hunt
“Team and client annotations for developers and AI agents”
Feedbacks was submitted on Product Hunt and earned 8 upvotes and 2 comments, placing #37 on the daily leaderboard. Make website feedback easy for clients. They point, annotate and comment; your developer team and its AI agents get the same screenshots, exact text requests and replay context. Keep the conversation with the work. Free, Apache-2.0 and self-hosted. Start with one Docker command.
On the analytics side, Feedbacks competes within Chrome Extensions, Open Source, Developer Tools and GitHub — topics that collectively have 684.8k followers on Product Hunt. The dashboard above tracks how Feedbacks performed against the three products that launched closest to it on the same day.
Who hunted Feedbacks?
Feedbacks was hunted by Suyog Dixit. 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 Feedbacks including community comment highlights and product details, visit the product overview.
Suyog Dixit