Se

Secure Execution of AI-Generated Code Locally on macOS/Linux MicroVMs

Hacker News

Secure Execution of AI-Generated Code Locally on macOS/Linux MicroVMs

Built a Rust project that lets you securely run untrusted/AI-generated code in lightweight VMs. Spins up in milliseconds, runs on your own infra, no containers. And it works on Macos and Linux. Python, Rust, and TypeScript SDKs are available now so you can spin up vms with just 4-5 lines of code. Run code, plot charts, tear down VMs programmatically with no complex setup. Early days though. Thoughts appreciated if you're building dev tools or AI agents that need proper isolation without performance headaches.

Visit product View on Hacker NewsMay 22, 2025

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

86%86% 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: io · Missing: https docs, excited, just released

63%63% 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 · Missing: supports, reddit linkedin, podcasting

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

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Syntix70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatic Execution of AI-Generated Code

Minimal Linux sandboxes to manage AI-Generated Code with ease47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minimal Linux sandboxes to manage AI-Generated Code with ease

AISlop, a CLI for catching AI generated code smells38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AISlop, a CLI for catching AI generated code smells

gait72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Git-Blame for AI-Generated Code

Product Hunt+168Software Engineering

Audit AI Generated Code with Go Std Lib38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Audit AI Generated Code with Go Std Lib

Daytona64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Secure and elastic infra for running your AI-generated code.

Product Hunt+453SaaS

YepCode Run – Perfect for Running AI-Generated Code in Secure Sandboxes51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YepCode Run – Perfect for Running AI-Generated Code in Secure Sandboxes

MergeShield23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Govern AI-generated code before it ships

Indie Hackerscommitment-full-time

Security Cards – Reducing insecure AI-generated code by 72%38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Security Cards – Reducing insecure AI-generated code by 72%

DiffSentry32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Catch risky AI-generated code before it hits production

Indie Hackers1$500/moproductivity

Browse all products Analyze your launch