Englishell – Plain english shell command executor, powered by ChatGPT

Hacker News

There are easy and there are hard unix shell commands to remember, nobody knows them all. Why not use ChatGPT to translate plain english instructions into executable shell commands. Here are a few examples how `englishell` CLI can be used: $ englishell kill the process that listens to port 8080 -> lsof -i :8080 | awk '{print $2}' | tail -n 1 | xargs kill -9 $ englishell print current git branch -> git branch --show-current $ englishell show the sizes of all folders in parent of the current directory -> du -sh ../* $ englishell how long the system has been running -> uptime $ englishell generate strong password -> openssl rand -base64 14

Visit product View on Hacker NewsAug 10, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, open, plain · Missing: mac, agents, macos

77%77% 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

61%61% 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

59%59% 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

48%48% 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

36%36% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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