News – Personalized Feed Reader for Android

Hacker News

Hello everyone! Your News is a personalized RSS Feed reader that helps you only consume the news you want to see. Currently, Your News has the following functionalities: - Dedicated buttons to add YouTube and RSS feeds. - Search for RSS feeds using the feedsearch.dev API. - Categorizing RSS feeds. - OPML Import. - Mark as favorite/read later. - Keyword filters. - Dark Mode. - YouTube video player without ads. I want to add more features in the upcoming versions, like widgets and notifications. In the future, the application will also be available on iOS, the web, and desktop. I hope the application can help you stay up-to-date with your news. Have a good one!

Visit product View on Hacker NewsMar 26, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

85%85% 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: new, using · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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

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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