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Instantly pass your passwords securely

Hey HN! I made a service to share passwords easy and secure but never promoted it. It's called instapass.io I noticed that people besides my friends and clients actually started to use, so maybe it will be helpful for you too! You share one-time self-destruct message using one time links and I won't even be able to see what you wrote. How does it work? When you generate a message the client-side makes a random password and use that to encrypt the message. The password is appended as an anchor tag which all modern browsers never send to the server. This way, I don't even know what you shared. Why this and not one of the fancy solutions that exist? Time and complexity. In my experience, people never get around to setup the services especially if you're a consultant like me. And then comes the part of trying to explain to a non-technical person how a master password is and how to share it and signup etc. Instapass offers high security, zero setup time and works for non-developers. Martin.

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
74%74% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released
59%59% 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: using, plain · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
32%32% 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
13%13% 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.

Correct prediction on native model

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