Send private valentines, using homomorphic encryption

Hacker News

Hi HN! I'm a cofounder of Blyss.dev, a YC W23 company building an SDK for homomorphic encryption. In recent HN discussions of homomorphic encryption, there seems to be a common opinion that it is "too slow to use". I thought it'd be fun to put together a quick, seasonal demo challenging that assumption - here's a realtime database that supports private reads via FHE, used as the backend for an otherwise simple CRUD app. Please do kick the tires! if my 3am engineering does fall over, and the demo breaks, you can still check out our github repo [0] for more detail on what we think you can practically do with FHE today. [0] https://github.com/blyssprivacy/sdk

Visit product View on Hacker NewsFeb 14, 2023

Share card

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: 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.

Hacker NewsStrong engagement from HN community · Strong signals: 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: supports · Missing: reddit linkedin, podcasting, created

25%25% predicted probability of success on Indie Hackers, 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

A Confidential DAO Voting System Using Homomorphic Encryption48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Confidential DAO Voting System Using Homomorphic Encryption

Hacker News6

Timelock.dev – Send a secret into the future using timelock encryption61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Timelock.dev – Send a secret into the future using timelock encryption

Hacker News224

Zip It – Encryption Anywhere45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zip It – Encryption Anywhere

Hacker News10

Additive Homomorphic Encryption on Ethereum50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Additive Homomorphic Encryption on Ethereum

Hacker News1

RSME:A Reactive Stability Mutation Encryption47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RSME:A Reactive Stability Mutation Encryption

Hacker News1

Serket – A gem for distributed encryption50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Serket – A gem for distributed encryption

Hacker News1

FileShot29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Send files up to 50GB with client-side AES-256 encryption. N

Indie Hackerscommitment-side-project

Using ZFS native encryption on a desktop system48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Using ZFS native encryption on a desktop system

Hacker News2

FractalCrypt 2.0 – free deniable encryption cryptoarchiver47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FractalCrypt 2.0 – free deniable encryption cryptoarchiver

Hacker News128

Private Bitcoin block explorer using homomorphic encryption38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Private Bitcoin block explorer using homomorphic encryption

Hacker News3

Browse all products Analyze your launch