I made an iOS app that puts motivating quotes in your widgets

Hacker News

Hey HN, I love a good daily quote for motivation and inspiration so I made this app to submit to a hackathon. It has a quote library with thousands of quotes that you can browse and save, then turn into pretty word art using a fun little editor. Once you have a cool design you can set them as iOS widgets, export as wallpapers, social posts etc. It also has a quote of the day feature that will send a curated quote as a notification on a schedule of your choosing. All SwiftUI, Firebase, usual indie iOS stack. It's fun to use and can feed you a daily dose of motivation when you need it. Launching on Product Hunt today too if you want to support: https://www.producthunt.com/posts/quotable-3 Thanks all, Jack

Visit product View on Hacker NewsSep 16, 2024

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

82%82% 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.

TrustMRRFits verified-revenue profile · Strong signals: ios, widgets · Missing: mobile apps, personal, entrepreneurs

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

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

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% 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

24%24% predicted probability of success on Acquire.com, 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

21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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