Bridge your live frontend directly to your AI agent.
Stop manually copying HTML and taking screenshots of frontend bugs. Vibeocus Lens captures exact DOM nodes, visual state, and annotations from your browser, streaming them straight into your local workspace via MCP.
Like many of you, I’ve been heavily using AI agents (Cursor, Claude Desktop, Claude Code) to build web apps lately. The execution speed is incredible, but I constantly hit a massive friction point when working on the frontend.
Every time a UI element broke, or validation didn't work, I had to take a screenshot, open the browser inspect tool, manually copy the raw HTML/CSS snippet, switch to my AI tool, and type a long prompt explaining *what* and *where* the issue was. It completely destroyed the "vibe-coding" momentum.
I wanted a way to bridge my live browser frontend directly to my AI's project memory. That’s why I built Vibeocus Lens.
Now, instead of wasting time copy-pasting, you can just click any element on your page, add a quick annotation, and Lens automatically extracts the exact DOM nodes, semantic CSS selectors, and visual state. It then streams everything via a secure local bridge directly into your Vibeocus project workspace, making it immediately accessible to your AI tools over MCP. 100% local, no cloud backend, zero RAM hogging.
Fun fact: You can actually test the core extension UI live right on our landing page without even installing it yet!
I’m here all day and would absolutely love your honest feedback. How do you currently handle feeding UI/frontend context to your AI tools? What features should I add to Lens next?
Let's chat in the comments! 🚀
About Vibeocus Lens on Product Hunt
“Bridge your live frontend directly to your AI agent.”
Vibeocus Lens launched on Product Hunt on May 29th, 2026 and earned 77 upvotes and 1 comments, placing #23 on the daily leaderboard. Stop manually copying HTML and taking screenshots of frontend bugs. Vibeocus Lens captures exact DOM nodes, visual state, and annotations from your browser, streaming them straight into your local workspace via MCP.
On the analytics side, Vibeocus Lens competes within Chrome Extensions, Productivity and Developer Tools — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Vibeocus Lens performed against the three products that launched closest to it on the same day.
Who hunted Vibeocus Lens?
Vibeocus Lens was hunted by Ekhtiram Mammadkarimov. 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 Vibeocus Lens including community comment highlights and product details, visit the product overview.
Ekhtiram Mammadkarimov
Hey Product Hunt! 👋
I’m Ekhtiram, the solo creator of Vibeocus.
Like many of you, I’ve been heavily using AI agents (Cursor, Claude Desktop, Claude Code) to build web apps lately. The execution speed is incredible, but I constantly hit a massive friction point when working on the frontend.
Every time a UI element broke, or validation didn't work, I had to take a screenshot, open the browser inspect tool, manually copy the raw HTML/CSS snippet, switch to my AI tool, and type a long prompt explaining *what* and *where* the issue was. It completely destroyed the "vibe-coding" momentum.
I wanted a way to bridge my live browser frontend directly to my AI's project memory. That’s why I built Vibeocus Lens.
Now, instead of wasting time copy-pasting, you can just click any element on your page, add a quick annotation, and Lens automatically extracts the exact DOM nodes, semantic CSS selectors, and visual state. It then streams everything via a secure local bridge directly into your Vibeocus project workspace, making it immediately accessible to your AI tools over MCP. 100% local, no cloud backend, zero RAM hogging.
Fun fact: You can actually test the core extension UI live right on our landing page without even installing it yet!
I’m here all day and would absolutely love your honest feedback. How do you currently handle feeding UI/frontend context to your AI tools? What features should I add to Lens next?
Let's chat in the comments! 🚀