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NKode – Easier to remember and more secure than a password

Hacker News

NKode – Easier to remember and more secure than a password

nKode is a pictographic passcode that is easier to remember and more secure than a password. Here are some of its unique features: 1. Keypads are randomly generated from thousands of icons. 2. Keypads are randomly shuffled after every login, so somebody can watch you enter your nkode and not know what it is. nKode on the Server: A traditional password is composed of ASCII and sometimes Unicode characters. These are salted, hashed, and stored in a database. nKode is similar. An unsigned 64-bit integer represents every icon, though it can be a byte array of any size. These server-side attributes can be rotated daily, weekly, or at any desired frequency. Here's how it works: 1. An administrator or cron job starts the server-side attribute renewal. 2. The server-side attributes are rotated, and an intermediate transformation is applied to the user's server-side keys. 3. After a successful login, the user's keys, salt, and hash are all replaced.

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Actual performance

2points
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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
15%15% 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
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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