Karabiner Generator (DSL to easily modify Karabiner configuration)

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I was fascinated by how life changing rebinding my keyboard to do what I want has been in my life. After I discovered the power of hyper keys (i.e. making caps lock into escape on single press and cmd+opt+shift modifier when caps lock is held), my workflow changed fundamentally. I took this idea further and have defined every single key on my keyboard into hyper keys. So for example, holding w key and then pressing k will open Safari for me or if I press j while w is held, iTerm will get opened. This ability to create hyper keys for every key, allows me to activate any action I want on my mac in less than a second at any time. One problem however is that the app I use to achieve this (Karabiner Elements) is quite complex so I decided to build a special language with nice API that would allow to make any kind of modifications on the keyboard with ease. Here is the project: https://github.com/nikitavoloboev/karabiner-generator Instructions on how you can run it for yourself are in the README of the project. Let me know your thoughts on this project. My goal with this is to bring the power of keyboard modifications to everyone.

Visit product View on Hacker NewsSep 4, 2018

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

88%88% 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

84%84% predicted probability of success on Indie Hackers, 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

59%59% 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

41%41% 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

35%35% 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 · 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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