Autotool – open-source gradual automation

Hacker News

Autotool is a native desktop app that helps you formalize and automate processes that give you trouble in terms of toil, difficulty remembering steps, or dealing with workflows someone else has created. The idea was inspired by the "Do-nothing scripting"[1] article published a few years ago. It's actually not an implementation of do-nothing scripting specifically, but enables that if that's what you want to do, and it's something I've been thinking about for a while. Right now this is definitely in very early beta, so currently it's only available for MacOS and Linux. Hopefully this version gets the idea across and is useful for someone. Thanks for checking it out! [1] - https://blog.danslimmon.com/2019/07/15/do-nothing-scripting-...

Visit product View on Hacker NewsNov 23, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% 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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · 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

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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