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I made a simple 2FA generator with no data storage

Hacker News

I made a simple 2FA generator with no data storage

Check out VerifyGate, an open-source, online two-factor authentication app that lets you generate time-based one-time passwords (TOTPs) without storing any sensitive information and also shows you the 2 next upcoming passwords for convenience. Simply enter your secret key, click "Generate," and get the current and next TOTPs instantly. It's a lightweight solution designed for maximum security and privacy, especially useful for those who don’t want to store their secret keys in a traditional 2FA app. Would love feedback from the HN community!

Visit productView on Hacker NewsOct 14, 2024
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% 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
24%24% 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
17%17% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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