HookShare – Relay WebHooks to Multiple Dev Machines

Hacker News

Working in a large team to integrate WebHooks from 3rd parties can be challenging and cumbersome. You need a proxy or a port forward so the WebHooks can reach your machine on a local network. Adding to the complexity, often, 3rd parties only allow sending WebHooks to a single host per service tenant. These factors can lead to many frustrating scenarios. HookShare aims to solve these pain points in the majority of use cases by implementing a proxy that is capable of delivering WebHooks to many hosts across multiple networks. HookShare 0.1.0 was released today and I am seeking feedback. If this seems like something that could improve your development workflow, I implore you to check it out and let me know what you think. I am very open to feature suggestions or even pull requests! Thanks for reading; Enjoy your Sunday HN!

Visit product View on Hacker NewsApr 24, 2023

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

84%84% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

30%30% 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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