Stripe-like webhooks for all your 3rd party API's

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I developed software that registers, creates, and manages webhooks at scale because, in every project I've worked on, webhooks have been essential but often treated as a last resort due to the added complexity in both immediate and long-term support. Typically, we end up using multiple webhooks, which can strain resources and complicate maintenance. It's frustrating when things break and the documentation is outdated or unclear. So, I built this tool specifically for webhooks, inspired by Pipedream and Zapier but with a sole focus on webhooks. My goal is to avoid generic automation platforms and instead provide a service dedicated to delivering reliable, scalable webhook data consistently. The aim is to create a Stripe-like webhook experience for all your third-party APIs. I’d love to get your feedback—whether it’s about what you like or what could be improved. If you're interested, I'd be happy to give you a demo and show you how it works! We are still testing it out with a couple of companies, so it's not GA yet. But very, very soon. Side note: I'm almost done with a Rust CLI to port the webhooks to your local machine like Stripe. Think Syncd for anything webhook-related: testing, debugging, registering, editing, porting, and more. Tech Stack: Next.js, Rust, FastAPI, Tailwind CSS

Visit product View on Hacker NewsJun 20, 2024

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

94%94% 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 · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% 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 · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% 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

13%13% 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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