Hook – Webhook Notification Tool

Hacker News

As an indie developer, I’ve just launched my third iOS app – this time, something I built primarily for myself. It’s a simple tool for receiving webhook notifications directly on your phone. The app generates a unique webhook URL, and anytime it’s called, you get a push notification with the payload. It’s great for tracking API events, debugging, or just keeping an eye on your projects in real time. Features: Push notifications with full payload details. Event history for reviewing past webhook calls. Hosted backend, so there’s nothing to maintain. It’s lightweight and meant to solve a small but practical problem I’ve faced in my own projects. I’d love to hear your feedback—what works, what doesn’t, and what could be better. Looking forward to your thoughts!

Visit product View on Hacker NewsNov 21, 2024

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

73%73% 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 · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

36%36% 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: host, calls · Missing: plus, platform, intuitive

35%35% 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

29%29% 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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · 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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