Nosh – Fast native shell with built-in AI (natural language commands)

Hacker News

I've been a zsh user for a long time, and I grew tired of how heavy it is. I made nosh as a replacement for my own use. I open-sourced it yesterday for everyone to use. AI features are entirely optional, and there's no telemetry. Compared to zsh: - 90x faster startup time - toml-based configuration, customization, and plugin system AI features require signing in to the nosh cloud, free plan included. Usage looks like this: ? what's using port 3000 to 3010 or agentic mode: ?? what's eating up disk space on my laptop Adds a bit of convenience so you don't have to leave the terminal to look up a specific command. There's a built-in safety feature to prevent you from shooting yourself in the foot. Happy to answer questions and get your feedback :)

Visit product View on Hacker NewsFeb 25, 2026

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2points

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Launch Intel predictions

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

95%95% 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: 000, io · Missing: https docs, excited, just released

60%60% 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

51%51% 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

41%41% 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

39%39% 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

16%16% 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.

Incorrect prediction on native model

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