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Phoenix – a lightweight OS X window manager scriptable with JavaScript

Hacker News

Phoenix – a lightweight OS X window manager scriptable with JavaScript

I just released Phoenix 2.0! I took over the project this summer and rewrote it from the ground up. :) Phoenix is a lightweight OS X window and app manager scriptable with JavaScript. You can also easily use languages which compile to JavaScript such as CoffeeScript. Phoenix aims for efficiency and a very small footprint. If you like the idea of scripting your own window or app management toolkit with JavaScript, Phoenix is probably going to give you the things you want. With Phoenix you can bind keyboard shortcuts and system events, and use these to interact with OS X. Take a look! https://github.com/kasper/phoenix/

Visit product View on Hacker NewsNov 28, 2015

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

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

39%39% 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

28%28% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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