Auto – A TypeScript-powered automation tool

Hacker News

Hey, I wanted to share this tool I've been working on for automating things using TypeScript. It's in a very early stage, and any bug reports & feature requests would be greatly appreciated. Before making Auto, I had a big list of aliases that would call some global scripts that would generate files in different ways depending on the project I was in (cwd). It takes a lot of inspiration from zx, but has a different model, without shebangs, and with global and per-project scripts. I hope it will save time for other people as well. Thanks for checking it out!

Visit product View on Hacker NewsMay 30, 2023

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

80%80% 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, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, 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

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% 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

12%12% 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.

Correct prediction on native model

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