Quick Cursor – One hand mode for Android. New edge actions feature

Hacker News

Hi everyone! I've released the new edge actions feature for Quick Cursor today. Preview: https://i.imgur.com/XYjaZzY.mp4 The app has a free version without ads, which is limited in terms of configurations and features, but can be tested to see if it helps you use your phone: https://play.google.com/store/apps/details?id=com.quickcurso... The pro version is an IAP (In-app purchase) and offers a lot more customizations on features and looks. The app is made for power users that want many customizations. Any feedback is welcomed! Thanks!

Visit product View on Hacker NewsJul 27, 2022

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

77%77% 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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, 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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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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