Pinnit – Pin notes and notifications in Android notification panel

Hacker News

Pinnit is a freemium app (no ads, one-time payment with a 14-day trial) that allows you to keep a log of your notifications, and pin them or schedule them to act as reminders on Android. It features a beautiful Material 3 design with smooth transitions and motion between screens and states. It also has a customisable color palette for generating Material 3 dynamic themes. Features - Create and pin your own notifications - Manage your notifications with a history log, search & filtering options - Schedule notifications and add reminders - Add notes to third-party notifications Privacy is an important thing when dealing with notifications, so here is the app privacy policy ( https://sasikanth.dev/privacy-policy-pinnit/ ). TLDR: All notifications are local to the device and nothing ever syncs with any backend or third-party service other than crash reports and billing. We have more things planned for the app to build, so looking forward to that. Give Pinnit a try and let us know what you think. Thank you :D

Visit product View on Hacker NewsSep 22, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

64%64% 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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% 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

29%29% 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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, 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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