Almighty – all the cool Mac tweaks in just 1 app

Hacker News

Hi HN, excited to show a project I've been working on since the last 2 years, Almighty - a native Mac app which gives expose hidden Mac settings and some extra features I started this nearly 2 years ago https://www.producthunt.com/posts/almighty as a quick menu bar to toggle some hidden settings. I know some of these can be done in Terminal, but it requires remembering commands and such. The app luckily got traction that time although I had poor app icon and no landing page. My plan is to gradually add more tweaks over time The app is in beta now and I would love if you can check it out and any feedbacks are welcome https://onmyway133.com/almighty/

Visit product View on Hacker NewsMay 7, 2021

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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: started · Missing: supports, reddit linkedin, podcasting

74%74% 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: excited, io · Missing: https docs, just released, exist

43%43% 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 · Strong signals: way · Missing: mobile apps, ios, personal

35%35% 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

31%31% 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

18%18% 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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