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HookActions – Webhooks for Developers

Hacker News

HookActions – Webhooks for Developers

I've been working in software for a while and at every company I've worked at I've always had the same problem: webhooks are hard to manage. Some third parties just have an API to create and view your webhooks and no way to actually test the webhook. Even when some do have a UI to manage them, I needed to keep a google doc of all the different places we had active webhooks. I started building HookActions (https://hookactions.com/) last year and this past week felt that it was ready to release to a larger audience. The reason I built this tool is that I couldn't find something to solve this problem. The companies I worked at were larger and Zapier didn't fit our needs because we needed to write custom code anyways to do the integration and it was expensive as we scaled. The larger problem I have with webhooks is that every third party service handles them differently; long term I want to unify and centralize the webhook ecosystem. Any feedback would be great!

Visit productView on Hacker NewsApr 14, 2020
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3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
77%77% 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: google, code · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, way · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, 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
42%42% 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 · Missing: plus, platform, intuitive
17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · 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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