Qr

Qryptr – airgapped ecc text messenger

Hacker News

Qryptr – airgapped ecc text messenger

Dear HN, I am excited to share my work which I published on Github recently as an open source project and is now ready for you to review/try out. It is a small, physical device with a keyboard, screen, camera and microcontroller (RP2040). With this device you can read and write text messages of up to 299 characters which are ECC encrypted and then displayed as QR codes. The QR codes can be photographed/shared with your smartphone. Importantly, this device has no network connections at all and runs on a microcontroller, to minimize the platform complexity. The point of the device is to do encryption/decryption on a device physicially seperated from your smartphone. In this way, even if your smartphone is compromised, you can still send messages securely. I have reviewed quite some security measures such as yubi keys, hsms and cryptographic coprocessors, but I figured out I wanted to still proceed with this project. For fun, and perhaps it can be useful for someone. I certainly had a lot of fun building it. I decided against a kickstarter because having people pay me comes with a lot of responsibilities. So you have to build it yourself. Of course I can help you and I am available in the comments for questions. Please let me know what you think about it. Regards, Thomas.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% 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: physical, code, open · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, ide · Missing: https docs, just released, exist
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
40%40% 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
34%34% 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
20%20% 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, smart · 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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