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CodeRunner – Generate and run LLM code locally on Apple containers
Hacker NewsCodeRunner – Generate and run LLM code locally on Apple containers
We used Apple Containers to run LLM generated code locally. Leverage remote LLMs (like ChatGPT or Claude Sonnet 4) to work with your local files—such as videos—securely on your Mac. The LLM runs in a sandboxed environment where it can install external libraries, generate code, and execute it locally without uploading your data to the cloud.
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, claude, apple · Missing: agents, macos, agent98%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 · Missing: supports, reddit linkedin, podcasting66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released53%53% 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: video · Missing: mobile apps, ios, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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