PastePal – Universal clipboard manager for Mac and iPhone

Hacker News

For the last 6 months I've been working on this app PastePal https://onmyway133.com/pastepal/ which is a universal clipboard manager for Mac, iPhone and iPad. The app is built using Swift and SwiftUI, runs natively with no analytics and no tracking, and use Apple's iCloud Sync to sync history Since launch on Product Hunt https://www.producthunt.com/posts/pastepal-2-0 people have mentioned some other alternatives but I keep improving and adding more features to make PastePal look good. I recently convert from Paid upfront to lifetime IAP upgrade to let more people use the app. Looking forward to all the feedbacks and suggestions from you. Thanks a lot and stay safe

Visit product View on Hacker NewsMay 6, 2021

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

91%91% 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

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal

53%53% 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

41%41% 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

22%22% 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

16%16% 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 · 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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