An

Android Hacker News Widget and App

Hacker News

Android Hacker News Widget and App

This app and widget and related code is free to use for anyone. This was a side project to learn Android, Kotlin and the many libraries that came along with it. Screenshots in the Google Play link above. app code: https://github.com/ddxv/hackernews-app backend api: https://github.com/ddxv/hackernews-api There are many Hacker News apps, but this one focused on two features: - Widgets: This app supports dynamic widgets using Compose Glance. The widgets can be themed and set up with one of the three main categories: "New", "Top" and "Best". - Themes: Both the widgets and the main app support a number of color schemes based on user preference.

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Actual performance

50points
41comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
81%81% 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: apps, google, widgets · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, ide · Missing: https docs, excited, just released
50%50% 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
27%27% 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 · 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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