HWT, an open-source alternative to GitHub Copilot CLI

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HWT is an open-source tool with which you can generate terminal commands using natural language. It is based on GPT-3 (so you need an OpenAI API key) and can generate commands with the user typing `hwt list all the hidden files`. (it works for more complex queries as well) I started working on this a while ago in a slightly different format (i.e., using a backend and with more languages). Then Github announced Copilot CLI and I put it on hold. After a while, I thought: why not share HWT as an open-source alternative? This way people can have another option with more control. HWT is the first time I built a more "complex" terminal user interface (TUI). It was surprising how much you can do nowadays with terminal applications in terms of interactivity and "design". It uses Ink.js and runs over Node. It was quite a smooth experience. Let me know what you think and if have some feedback!

Visit product View on Hacker NewsApr 18, 2023

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

98%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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

71%71% 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: way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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

11%11% 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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