Browser interface for Claude Code, edit any website by clicking on it

Hacker News

Hi HN! I'm Kiran ( https://kiranjohns.com ) I've been using Claude Code a lot lately, and every time I wanted to make small UI tweaks, I found myself taking screenshots and explaining the changes in text. So I built Visual Claude (I should find a better name, open to suggestions) It’s an open-source browser tool that lets you edit any web app’s codebase just by clicking or dragging elements and prompting Claude Code right from the browser! It's like wordpress-ifying any website + stack agnostic Here's a demo: https://x.com/thetronjohnson/status/1983472717375664459 Open Sourced under AGPL-3 Would love your feedback

Visit product View on Hacker NewsOct 29, 2025

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, visual, using · Missing: mac, agents, macos

97%97% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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