Quantum Safety Firefox browser add-on

Hacker News

With the building interest in adopting post quantum cryptography and using quantum safe methods over the Internet, I was seeking a way to know if my web browser session was protected. Unlike the padlock icons that show if you connected over HTTPS/QUIC/TLS, there didn't seem to be any easy way to tell if a web browser session was using post quantum cryptography. Of course you can dig through info in the developer tools, but this is a lot of hassle when doing ordinary browsing. So, I built a simple Firefox extension that shows a different icon if the main web page is protected using post quantum cryptography or not. (Unfortunately, Chromium/Chrome doesn't provide APIs to do something similar.) Please let me know what you think.

Visit product View on Hacker NewsFeb 27, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, apis · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, 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

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

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

46%46% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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