This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Vynix
Vynix turns visual website feedback into structured context.
## AI-Powered Website Feedback & Visual Bug Reporting
Vynix is an AI-powered website feedback, website annotation, and visual bug reporting platform built for developers, QA teams, designers, product managers, and digital agencies.
Collect actionable website feedback directly on live websites with point-and-click annotations while automatically capturing everything developers need to reproduce and fix issues faster.
### Key Features
- 🖍️ Visual website annotation and commenting
- 📸 Automatic screenshots
- 🐞 Visual bug reporting
- 🌐 Browser, device, OS and screen resolution capture
- 📜 JavaScript console logs
- 🌍 Network request capture
- 🤖 AI-powered issue summaries and developer handoff
- 🔗 GitHub integration
- 👥 Team collaboration and website review workflows
- 🔒 Privacy-focused with secure data handling
### Perfect For
- Software Development Teams
- QA & Testing Teams
- UI/UX Designers
- Product Managers
- Digital Agencies
- Web Development Companies
- Client Website Reviews
Unlike traditional feedback tools that only collect comments, Vynix automatically gathers technical diagnostics such as browser details, console logs, network requests, screenshots, and page context, enabling developers and AI coding assistants to reproduce and resolve issues much faster.
Whether you're reviewing a client website, testing a new feature, or reporting production bugs, Vynix simplifies website feedback from discovery to resolution.
How does it actually capture the DOM and network info, does it run a local script or do I need to install a browser extension?
how does it handle sites behind a login since most of the bugs we find are in authenticated flows?
Does the structured context get fed into the agent in real time as I click around, or do I need to manually capture each session for it to pick up properly?
Would love a way to auto-tag recurring feedback patterns across sessions, like grouping "broken layout on mobile" issues so I can spot trends before they pile up. Could save a lot of triage time.
Plugged it into a Next.js project I was stuck on and the DOM + network context it pulled back actually let my agent fix the auth bug without me copy-pasting anything. Felt like magic for about ten minutes.
Would love a way to pin specific issues to a thread so agents can reference earlier findings instead of re-scanning the whole site every session.
About Vynix on Product Hunt
“Vynix turns visual website feedback into structured context.”
Vynix was submitted on Product Hunt and earned 11 upvotes and 13 comments, placing #51 on the daily leaderboard. Vynix turns visual website feedback into structured context AI coding agents can act on: DOM, console, and network included.
Vynix was featured in Design Tools (261.2k followers), Productivity (655.7k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 208.7k products, making this a competitive space to launch in.
Who hunted Vynix?
Vynix was hunted by Suraj Sharma. 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.
Want to see how Vynix stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Suraj Sharma