Bulwark Passkey – Software-Based FIDO Device for 2FA/WebAuthN

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Hey y'all, This is something I've been working on for a few months. It is a passkey system, similar to Apple Passkeys or a Yubikey, but it is entirely software based so you can sync credentials between devices. Passkeys (and FIDO devices in general) allow you to use public keys instead of passwords or codes to authenticate. For instance, you can just click "Approve" on the device/software instead of having to copy a code, and there are no passwords to phish. This is a new piece of tech, so website support for logins are still limited, but it can currently be used for 2FA anywhere a Yubikey can be used. Bulwark Passkey emulates the USB device in software, which allows you to sync credentials as well as copy them out. This is less secure than a dedicated hardware device, where credentials can never by copied or removed from the device, but it is much, much more secure and usable than passwords or one-time codes. Please take a look, and I appreciate any feedback you might have!

Visit product View on Hacker NewsNov 28, 2022

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

68%68% 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 · Missing: supports, reddit linkedin, podcasting

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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