iOS Safari web push notifications demo

Hacker News

iOS launched web push notifications a month ago with 16.5, but there has been a surprising lack of examples to try out. We built [WebPushTest.com]( https://WebPushTest.com ) and made the code open source so more web devs can try it out and share it with their coworkers. It used to be the case that an iPhone app needed to be “native” and downloaded from the App Store to utilize push notifications, but you will see that this is no longer true :) As long-time HN users, we also included an option to subscribe to a feed of top Hacker News posts delivered to you via push every six hours. It makes it a fun little app instead of a boring demo! Worth noting that we don't track any personal info (random UUIDs for user IDs, so not even device IDs).

Visit product View on Hacker NewsJun 22, 2023

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Actual performance

6points

1comments

Did not reach leaderboard

Launch Intel predictions

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

85%85% 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: user, new, code · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% 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: users · Missing: plus, platform, intuitive

45%45% 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

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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