A CLI to kick-start any language

Hacker News

I'm working on a CLI that helps you create the boilerplate of your project in multiple languages and frameworks. In case of front-end frameworks/libraries, with cli you'll be able to create the project, set up git on your local, add the UI-framework, testing framework, and linting, and in the future releases you'll be able to even add pre-designed components. The CLI currently supports React, Angular, Vue, Svelte and Node.js will be released today. Also soon, you'll be able to deploy your applications to AWS with a single command. Appreciate your feedbacks and all the contributions are welcome. https://github.com/utopiops/utopiops

Visit product View on Hacker NewsMay 10, 2022

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Launch Intel predictions

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

72%72% 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: supports · Missing: reddit linkedin, podcasting, created

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

42%42% 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 · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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

15%15% 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

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