Svix – Open-Source Webhooks Service Written in Rust

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We are super excited to be open sourcing the Svix webhooks dispatcher! Svix makes it easy to send webhooks. You send your payload to Svix, and Svix takes care of deliverability, retries, security, and more. You can read more about why we built Svix in the original Show HN[0], though the gist is: our customers wanted webhooks to build integrations and workflows around our product, but we weren't willing to commit the engineering time, resources and ongoing maintenance required of a webhook delivery system. Why open source? On a personal level, I've been an open source maintainer and contributor for many years, and I care a lot about open source. So open-sourcing the Svix dispatcher was one of the first tickets I created on our issue tracker. As for the company, webhooks are currently a mess, everyone does them differently, with differing levels of quality and features supported. This is something we really want to fix. The Svix service is already making a difference there (we're lucky enough to call some really cool companies our customers), and open-sourcing the dispatcher is the next logical step to increase our impact. Why Rust? It's really fast, it makes writing secure and correct code easier, it's easier to deploy and distribute (one static binary), and it's a lot more fun. :) Webhooks are really cool, and I absolutely love what they enable. They make the web compose-able, interconnected, and enable people to automate a lot of their work! Our goal is to make them easy, reliable, and consistent, so that more services offer them and they are easier to consume. I'd love to hear your feedback! We've incorporated most of the comments we got the last time[0] (thanks again everyone!), and we would love to know how we can improve the product further. Got any suggestions? Homepage: https://www.svix.com Repo: https://github.com/svix/svix-webhooks/ Docs: https://docs.svix.com/ API reference: https://api.svix.com/ [0] https://news.ycombinator.com/item?id=26399672

Visit product View on Hacker NewsFeb 15, 2022

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

91%91% 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: new, code, open · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · 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

18%18% 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.

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