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Push Notifications for Hacker News

Hacker News

Push Notifications for Hacker News

Hey all, James here (creator of Hazumi for HN), after years of working on Hazumi for iOS/Apple Watch, I finally brought all the app's features to Web with tons more that I think you're gonna love Radar - watch any post for changes, you get a browser push notification - set a custom topic or select from what's there, when it's posted you get a browser push notification Profiles - you can view any profile and browse their latest activity, posts, comments and stats Feeds - add custom RSS feeds to your home page - add an automatically refreshing HN search feed for topics your interested in on HN Posts - each post is enriched with SEO metadata pulled from the linked site - AI summary of the story too Weekly digest - an in app weekly newsletter (automatically compiled top weekly stories and their summaries) Bookmarks - not much to say here but collect stories and organize them as you want I'd love to hear what you think, how I can improve it, what you want added Thanks! James

Visit productView on Hacker NewsSep 14, 2026
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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, new, activity · Missing: mac, agents, macos
82%82% 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 HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released
54%54% 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
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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.

Incorrect prediction on native model

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