Rocky Surf – Open-source control plane for coding-agent cloud VMs

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Rocky Surf started late last year after Claude Code crashed my laptop. The alpha version was designed as a commercial product, but I ditched the idea because it would have required significant capital. Basically, the business would have been a cloud reseller with a bit of software on top. I built the core for my own projects - simple stuff like bash commands to create, stop, start, and terminate EC2s. Added features along the way, like other clouds and making tool bundles so I could spin up a VM and automatically install Pi, OpenCode, etc, etc. Finally decided to turn it into an open source platform. It's pretty cool because a) it's easy to use; b) there's an MCP so servers can be managed outside of the UI; c) it's modular and the repo comes with skills to create new tool bundles or add other cloud providers. Claude Code, Codex, Cursor, etc all offer their own cloud-based infrastructure but they have to be controlled somewhere. This makes it so my controlling agent doesn't have to live on my laptop.

Visit product View on Hacker NewsSep 10, 2026

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

99%99% 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 NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

17%17% 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.

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