Throwaway – single-use, 1-1, e2e encrypted messaging (in-browser)

Hacker News

Hi HN! Keen to get your thoughts on an encrypted messaging app I've made: throwaway is an in-browser messaging app. It's specifically for single-use, one-to-one, e2e encrypted messaging. This means your messages are encrypted in your browser, and they are only decrypted when they reach your recipients browser. The messages disappear permanently once both browser windows have closed. You can never recover a throwaway chat; once the window is closed, it's gone forever. throwaway uses the SubtleCrypto Web API to create a public/private key pair every time it is opened/refreshed (ECDH P-521). You can invite a recipient to start a chat using the invite link; automatically generated when you land on the page. Once a recipient has clicked on the invite link, throwaway generates them a key pair too. The public keys are shared so each user can derive symmetric keys (AES-GCM 256, forward secrecy) to encrypt messages that can only be decrypted by their recipients symmetric key. The private keys and derived symmetric keys never leave the browser window they were created in. All ideas/thoughts/critiques welcome, thanks!

Visit product View on Hacker NewsMar 10, 2022

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

82%82% 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.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% 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 · Missing: plus, platform, intuitive

47%47% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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