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The Passkey Journey – tools to accelerate passkey deployments

Hacker News

The Passkey Journey – tools to accelerate passkey deployments

Hey HN Ive been working on a set of tools to accelerate passkey adoption and deployment. Doing a soft launch today. Background: For the past few years I have been working with organizations to deploy passkeys to their customers and employees. While passkeys provide frictionless and phishing-resistant authentication, the UX and functional support for passkeys is browser and OS dependent. I wanted to get feedback on a set of tools I've been working on to address the challenges around passkey deployment: 1. Passkey Readiness Assessment - https://thepasskeyjourney.com this tool, after it's integrated on your site, generates a report revealing the types of passkeys your user base supports and displaying their experience will be like. Basically I built this so other developers, UX designers, and PMs can get answers to "What percentage of my users can actually use passkeys? What will it look like?" 2. Universal Passkeys - https://www.beyondidentity.com/developers/product/universal-... these are a set of native and web SDKs that enable passkey support for every user no matter what device, browser, and application type they're on. The idea is "Deploy once, have a unified passkey experience for all browser and device types". Hope you like, and please share any feedback you might have in the comments!

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports, organizations · Missing: reddit linkedin, podcasting, created
79%79% 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: user · Missing: mac, agents, macos
73%73% 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
58%58% 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: answers, users · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
32%32% 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.

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