I made a site to simplify your news browsing

Hacker News

Hey HN! I've been heads down crafting a new kind of fitness tracker for the past month, and today marks our soft launch. Presenting Ezy-Newz, your personalized news aggregator! Simply get to know about news that matters to you… 1. Want to read news in your preferred language? Just select the necessary language from the Language Selector. 2. Select different categories ranging from Technology and Politics to Sports that you want to know about. 3. Find relevant news by typing keywords in the input box and stay updated on topics that matter to you. As we roll out, I encourage you to join for free and explore the features. Your feedback will shape the future of Ezy-Newz. Ready to stay updated with news that matters, no more switching...

Visit product View on Hacker NewsMay 30, 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 · Missing: supports, reddit linkedin, podcasting

65%65% 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.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

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

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

36%36% 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

25%25% 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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