Hazumi now has Push Notifications for keywords posted on HN

Hacker News

Hey HN! I'm James, a solo dev working on Hazumi, a Hacker News reader for iOS and web. It's hard to believe it has been around 10 months since I launched my app here on HN. I'm happy to announce that keyword based Push Notifications are now available. It has quickly become my favourite feature as I've been developing and testing it these past few weeks. Widgets still have a place in my heart though. It has been super neat to follow the Apple and Epic saga and various programming languages through notifications as soon as they're posted. Essentially, there are a list of keywords you can subscribe to, and when they appear in the title of a post on Hacker News, you'll get notified immediately. I'm adding more keywords to that list as time goes on. I'm happy to add your suggestions too. It's worth noting that the app does cost $/€1 to download and it also requires a subscription of $/€1 per month for push notifications. However, there is a free trial for new users. Your financial support really helps me afford the server, database, AI summaries, and now Push Notifications. As always, I welcome everyone's feedback and feature requests. Web version is here: https://www.hazumi.news Cheers HN! James

Visit product View on Hacker NewsMar 12, 2024

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

91%91% 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: apple, user, new · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

42%42% 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 · Strong signals: soon, users · 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 · Strong signals: subscription · Missing: arr, mrr, revenue

21%21% 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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