I'm building an email service on the blockchain

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Hey HN! I'm a UG university student, and I'm building an email service built on the Solana blockchain. Companies like Google have way too much control over email. They get to decide whether or not mail hits your inbox. I've had incidents in the past where Gmail silently blocked my emails because their AI thought they were malicious. You may say "use your own mail server", but that is easier said than done; the average user has neither time nor skill. Besides, if your contacts are using Gmail, good luck getting past their spam filter on a shared IP. On the more philosophical side, services like Gmail and Outlook give the illusion that their services are free to use, which leads to over-consumption and over-reliance. At the end of the day somebody has to pay the bills - why not let the user pay for what they use instead of absorbing that cost and selling their data? -- On the technical side of things, it uses decentralized technologies like IPFS to store your emails. There is absolutely no centralized server involved (unless you consider our web host, Netlify) and you will soon be able to run the webapp locally. What about encryption, you say? We currently encrypt all email content, including subject and attachments using x25519-xsalsa20-poly1305, via the libsodium box API. Before the stable release we will switch to a post-quantum encryption scheme such as NTRU. Thanks for reading till the end! PS: The service is hosted at https://stenzor.com

Visit product View on Hacker NewsAug 18, 2022

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

88%88% 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, inbox · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

70%70% 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: google, way · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, soon · Missing: plus, platform, intuitive

34%34% 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

17%17% 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.

Incorrect prediction on native model

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