Sculptor – A UI for Claude Code

Hacker News

Hey, I'm Josh, cofounder of Imbue. We built Sculptor because we wanted a great UI for parallel coding agents. We love Claude Code, but wanted to solve some of the problems that come from running multiple agents in parallel (ex: merge conflicts with multiple agents, reinstalling dependencies with git worktrees, Claude Code could deleting your home directory, etc). Sculptor is a desktop app that lets you safely run Claude Code agents by putting them in separate docker containers. This lets you use Claude without having to compromise on security or deal with annoying tool permission prompts. Then you can just tell Claude to keep running the code until it actually works. To help you easily work with containerized agents, we created “Pairing Mode”: bidirectionally sync the agent’s code into your IDE and test/edit together in real time. You can also simply pull and push manually if you want. We have some more cool features planned on our roadmap that are enabled by this approach, like the ability to “fork” conversations (and the entire state of the container), or roll back to a previous state. It’s still very early, but we would love your feedback. Sculptor itself is free to use, so please try it out and let us know what you think!

Visit product View on Hacker NewsSep 30, 2025

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

98%98% 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.

Indie HackersFits the IH revenue-focused audience · Strong signals: created, para · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% 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 · Strong signals: para · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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