I made an iOS App to dumbify the smart phone

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Hey HN, The app is called Limpio and it uses ios widgets to create a simplified app launcher, mimicking the look and feel of the lite phone. The app has cool launcher pals that pop up before going into the launched apps. In more technical terms, apple doesn't allow direct opens of custom url schemes in widgets, but I can get around this by using ios deep links to pass the url schemes from the widget to the main app and then direct the user to the external app and show the loading screen. I have plans to make the loading screen more customizable by adding words of encouragement and other cool digital characters. I also plan to have custom widget background colors, font sizes, font styles, change app name (finished), change app url scheme (finished), and drag to organize apps in the home page (finished). I have finished a few but my laptop is having a hard time keeping x code running. Previously, I found a couple of apps that are minimal app launchers, however; they were all paid options and didn't have the flexibility and customization that I was looking for so I created the app myself. Let me know if you have any suggestions for where to take this, and if the app is something you'd be interested in. Kenny

Visit product View on Hacker NewsMay 14, 2024

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

91%91% 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.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps, widgets · Missing: mobile apps, personal, entrepreneurs

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

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

68%68% predicted probability of success on Product Hunt, 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

38%38% 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

35%35% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid, smart · 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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