Effortless Authentication for Your Web Application

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Hey folks, Michael here. I have been working in this project on and of for about a year and a half and I finally got it into a state where I can share it. I initially started this project to learn Rust and afterwards decided to make it useful for others. Vulpo Auth is an authentication server that you can host yourself. The goal was to make it as easy as possible for you to get started and have a complete authentication solution without you having to configure anything. Project Website: https://auth.vulpo.dev The Project contains: - Auth Server (Rust) - Admin Dashboard - JS and react SDK - Prebuilt Web UI (currently react) (https://auth.vulpo.dev/ui) - rust SDK for rocket Some of the features: - Email and Password Auth - Passwordless Auth - Google Auth - Translateable Email Templates - Enable/Disable Sign In or Sign Up - Password Reset Flow - Update Email Flow There is still a lot to do, the code base is full of experimental ideas and there a bunch of things to clean up, but first I want to focus on writing documentation and guides before adding more features. Besides the missing documentation, what are you missing?

Visit product View on Hacker NewsJun 19, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, email, code · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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

40%40% 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

19%19% 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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