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Cryptasia - A Better Secure Password Website

Hacker News

Cryptasia - A Better Secure Password Website

Hi everyone! I've read HN for a while and am often inspired by the projects I see here, but this is my first time to submit something and get feedback, so it's pretty exciting. :) My fiancee and I were inspired to create a secure password service after seeing the Vault (by James Coglan; https://getvau.lt/) posted here a couple weeks back. We stayed up all night putting together Cryptasia and, now, finally think it's ready. First: What is Cryptasia? It's a service that takes a website's name, your secret phrase, applies some hashing, and generates a unique password for that website. By using Cryptasia, you can log in to any website requiring a username/password using just one single secret phrase. Your password on every website will be unique and cryptographically unrelated to your secret phrase, so if one website is compromised--which seems to be happening a lot recently--you won't have to change your password on any other website. Now we know what you might be thinking... great, what's the big deal about yet another password generator? Why is it any better for keeping track of all your passwords than, say, KeePass, 1password, lastpass, or even Vault? 1 You'll never have to invent a password for any website. Cryptasia knows which characters can and can't be used, which characters are required, and how long the password needs to be. Using this, it automatically generates a password that meets the requirements. We have a lot of services programmed in already, but with an account, adding new websites or changing a website's settings just takes modifying a line in a Google spreadsheet. 2 The website's name isn't actually used to create your password. Instead, Cryptasia uses an associated key string. By sharing key strings among the password settings for different websites such as youtube.com and gmail.com, you can log in to different sites that share an authentication service (in this case, Google's) but have different names. The other benefit is that Cryptasia lets you change passwords for a website without changing your secret phrase. 3 Copying your password and logging in to another website is really streamlined. We autocomplete the website name (including shortcuts, like "aws" for Amazon Web Services), and the "copy+go" button both copies the password to your clipboard and jumps you to the login page for whatever website you selected. Try out Hacker News! 4 We don't store any personal information. We don't even have a database! You don't need to trust us in order to use Cryptasia--the source code is unminified and in plain sight. 5 Cryptasia shows an image based on your secret phrase, so you know you typed it correctly 6 It works great on mobile! It was a huge pain, but we got copy+paste working for Safari, the Android default browser, Firefox mobile and Chrome mobile. 7 An account with us doesn't require you to remember yet another password. That would be ironic. Your account is based on data in a Google Spreadsheet, so the privacy settings of that spreadsheet will apply to your version of Cryptasia. For example, my personal Cryptasia account is "crypt.asia/karlgluck". I've left mine public so anyone can see it and, theoretically, use it to generate passwords--however, I can modify the spreadsheet at any time, so that probably wouldn't be a good idea. Still, if I didn't want people to know at which websites I had accounts, I could make the spreadsheet private and it would be nonfunctional unless I was logged in to my Google account. Speaking of, a Cryptasia account is free for the first month, but we have to set them up manually so it might take a little while for us to get yours going. Let us know what you think! Get started here: http://crypt.asia

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, including · Missing: supports, reddit linkedin, podcasting
93%93% 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: google, user, new · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs
46%46% 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
40%40% 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
11%11% 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.

Incorrect prediction on native model

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