Real-time push notifications for Hacker News comments

Hacker News

Hello folks, I built a service to provide you with real-time push notifications whenever someone replies to you on Hacker News, served right through your browser: https://hcker.news/notifications It has always been difficult to keep track of replies here, especially across long threads (purposefully so[0]). What makes this differe nt from other implementations (notable prior art: hnreplies.com by @dangrossman): 1. Real-time or once a day: You can choose to have notifications sent immediately (you get notified within ~20 seconds) or once a day. 2. Stories + Replies: Choose to get notified of replies to your comments and your submissions. 3. Private: You don't have to provide an email address (many people value their pseudonymity) How it works: 1. Go to https://hcker.news/notifications and enter your HN username. 2. Allow browser notifications when prompted. 3. That's it. When someone replies to you, your browser receives a push notification. Caveats: It works on Desktop (Chrome, Safari, Firefox, Edge), Android, and iOS. On desktop, your browser must be open to receive notifications. On iOS, it works via PWA – you must add it to your home screen. Give it a try, I'd love your feedback. Cheers! 0: https://news.ycombinator.com/item?id=27897211#27901918

Visit product View on Hacker NewsSep 10, 2026

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7points

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Launch Intel predictions

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

89%89% 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 NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

64%64% 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: user, new, email · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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, way · 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

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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