Mission Critical Notifications that bypass DnD

Hacker News

I created a push notification app (Alertifii) that can bypass do not disturb on your phone (Android + iPhone). Alertifii easily integrates to any monitoring system through webhooks or email. You can easily configure the mapping between webhook data and alert fields. Additionally Alertifii supports multiple users per account, teams and punch in/out on-call. I do realize there are other competitors out there like pushover, ntfy.sh, and others. I built Alertifii out of frustration and a need for a tool: - Having an app on both iPhone and Android - Having the ability to bypass DnD - Having high availability - Having an easy to use UI and clear and concise documentation. - Begin cloud hosted (didn't want to self host an open source solution) I look forward to hearing your feedback :)

Visit product View on Hacker NewsJun 12, 2023

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, open · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, 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.

AppSumoStrong fit for a featured deal · Strong signals: host, users · Missing: plus, platform, intuitive

52%52% 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

15%15% 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.

Incorrect prediction on native model

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