Yahoo News Digest Alternative

Hacker News

Hello, I've built Quill News Digest. Its a daily new digest with a simple idea, the important news is the most talked about news. The goal is to be the best place to stay informed. Both quickly and easily. Without bias or motives. We read 5000+ articles every morning, combine them into similar collections, and deliver you a visual story. Each story contains a summary, quote, images, and maps. __________ Ever since Yahoo News Digest was shut down I wanted an alternative. No one built one, so I went ahead and built something for myself. So far its been incredibly useful and I think it could be useful to others as well. Check it out if you're interested in staying informed without spending hours reading the news!

Visit product View on Hacker NewsApr 24, 2024

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Actual performance

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Launch Intel predictions

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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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