Fast notion database entries with offline support

Hacker News

Notion is great for saving all sorts of data but I always found it’s app to be slow and hard to navigate when all I really want is to quickly add an entry to one of my databases. So I created an app that connects with Notion databases and lets you create custom entry forms for all sorts of workflows. These forms can be easily launched via the app or home/lock screen widgets for quick and fast database entries. Another great feature is it works offline! The app will automatically sync any added entries when an internet connection is restored I just launched on the AppStore and hoping to add more features soon such as Siri and Shortcut capabilities. Also open to putting together an Android app if there is interest Would love to get some feedback

Visit product View on Hacker NewsJun 24, 2023

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

89%89% 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.

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

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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

36%36% 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: soon · Missing: plus, platform, intuitive

31%31% 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

18%18% 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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