Notchy – add the notch back to your iPhone X screenshots

Hacker News

Notchy is a simple iOS app that adds the notch back to your iPhone X screenshots. A few friends and I thought that iPhone X screenshots looked weird, given that they have sharp corners, and no notch. The iPhone X doesn't look like a rectangle...so why should the screenshots? So, after 8 rejections from App Review, countless icon redesigns, and lots more work than you'd expect for an app this simple, it's finally out. Notchy was built to be speedy and efficient. Just take a screenshot on your iPhone X, use the share extension, and then share your screenshot via iMessage, Twitter, etc. There's also no tracking or analytics. It feels weird to have to call that out but it was a deliberate decision. There's a $2 In-App Purchase to remove the watermark from screenshots and add the ability to add the iPhone X frame. If you have any comments, the team will be checking HN, so please post any ideas or thoughts about the product. Cheers! Link: https://www.notchyapp.com

Visit product View on Hacker NewsMar 15, 2018

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

86%86% 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: ios · Missing: supports, reddit linkedin, podcasting

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

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%44% 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 · Strong signals: efficient · Missing: plus, platform, intuitive

40%40% 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

19%19% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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